“We definitely need an audience”: experiences of Twitter, Twitter networks and tweet content in adults with severe communication disabilities who use augmentative and alternative communication (AAC)

Science.gov (United States)

Hemsley, Bronwyn; Dann, Stephen; Palmer, Stuart; Allan, Meredith; Balandin, Susan

2015-01-01

Abstract Purpose: The aim of this study was to investigate the Twitter experiences of adults with severe communication disabilities who use augmentative and alternative communication (AAC) to inform Twitter training and further research on the use of Twitter in populations with communication disabilities. Method: This mixed methods research included five adults with severe communication disabilities who use AAC. It combined (a) quantitative analysis of Twitter networks and (b) manual coding of tweets with (c) narrative interviews with participants on their Twitter experiences and results. Results: The five participants who used AAC and Twitter were diverse in their patterns and experiences of using Twitter. Twitter networks reflected interaction with a close-knit network of people rather than with the broader publics on Twitter. Conversational, Broadcast and Pass Along tweets featured most prominently, with limited use of News or Social Presence tweets. Tweets appeared mostly within each participant's micro- or meso-structural layers of Twitter. Conclusions: People who use AAC report positive experiences in using Twitter. Obtaining help in Twitter, and engaging in hashtag communities facilitated higher frequency of tweets and establishment of Twitter networks. Results reflected an inter-connection of participant Twitter networks that might form part of a larger as yet unexplored emergent community of people who use AAC in Twitter.Implications for RehabilitationTwitter can be used as an important vehicle for conversation and a forum for people with communication disabilities to exchange information and participate socially in online communities.It is important that information and resources relating to the effective use of Twitter for a range of purposes are made available to people with communication disabilities who wish to take up or maintain use of Twitter.People with communication disabilities might benefit from support in using Twitter to meet their goals

DEPENDENCE ON SOCIAL NETWORKING SITES IN ADOLESCENTS

OpenAIRE

Ranjith; Santosh; Amita Rao; Ramgopal; Ashvij

2016-01-01

BACKGROUND Social Networking Sites (SNSs) are “web-based services” that allow individuals to: (1) Construct a public or semi-public profile within a bounded system, (2) Articulate a list of other users with whom they share a connection, and (3) View and traverse their list of connections and those made by others within the system.” Social networking sites like Facebook, WhatsApp, Snapchat, Twitter, etc. are virtual communities where users can create individual public profiles,...

Classifying emotion in Twitter using Bayesian network

Science.gov (United States)

Surya Asriadie, Muhammad; Syahrul Mubarok, Mohamad; Adiwijaya

2018-03-01

Language is used to express not only facts, but also emotions. Emotions are noticeable from behavior up to the social media statuses written by a person. Analysis of emotions in a text is done in a variety of media such as Twitter. This paper studies classification of emotions on twitter using Bayesian network because of its ability to model uncertainty and relationships between features. The result is two models based on Bayesian network which are Full Bayesian Network (FBN) and Bayesian Network with Mood Indicator (BNM). FBN is a massive Bayesian network where each word is treated as a node. The study shows the method used to train FBN is not very effective to create the best model and performs worse compared to Naive Bayes. F1-score for FBN is 53.71%, while for Naive Bayes is 54.07%. BNM is proposed as an alternative method which is based on the improvement of Multinomial Naive Bayes and has much lower computational complexity compared to FBN. Even though it’s not better compared to FBN, the resulting model successfully improves the performance of Multinomial Naive Bayes. F1-Score for Multinomial Naive Bayes model is 51.49%, while for BNM is 52.14%.

Twitter and Public Health (Part 1): How Individual Public Health Professionals Use Twitter for Professional Development.

Science.gov (United States)

Hart, Mark; Stetten, Nichole E; Islam, Sabrina; Pizarro, Katherine

2017-09-20

The use of social networking sites is increasingly being adopted in public health, in part, because of the barriers to funding and reduced resources. Public health professionals are using social media platforms, specifically Twitter, as a way to facilitate professional development. The objective of this study was to identify public health professionals using Twitter and to analyze how they use this platform to enhance their formal and informal professional development within the context of public health. Keyword searches were conducted to identify and invite potential participants to complete a survey related to their use of Twitter for public health and professional experiences. Data regarding demographic attributes, Twitter usage, and qualitative information were obtained through an anonymous Web-based survey. Open-response survey questions were analyzed using the constant comparison method. "Using Twitter makes it easier to expand my networking opportunities" and "I find Twitter useful for professional development" scored highest, with a mean score of 4.57 (standard deviation [SD] 0.74) and 4.43 (SD 0.76) on a 5-point Likert scale. Analysis of the qualitative data shows the emergence of the following themes for why public health professionals mostly use Twitter: (1) geography, (2) continuing education, (3) professional gain, and (4) communication. For public health professionals in this study, Twitter is a platform best used for their networking and professional development. Furthermore, the use of Twitter allows public health professionals to overcome a series of barriers and enhances opportunities for growth. ©Mark Hart, Nichole E Stetten, Sabrina Islam, Katherine Pizarro. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 20.09.2017.

USER PERCEPTION TOWARDS SOCIAL NETWORKING SITES - AN ANALYTICAL APPROACH

OpenAIRE

Dr. S. Shanmugapriya; A. Kokila

2017-01-01

A social networking site (SNS) or social media is an online platform that people use to build social networks or social relations with other people who share similar personal or career interests, activities, backgrounds or real-life connections. The advent of Social Networking sites and its resources have revolutionized the communication and social relation world. This paper aims to assess the user perception towards SNS like Facebook, Twitter and LinkedIn. In the study data was obtained thro...

Virtual colleagues, virtually colleagues--physicians' use of Twitter: a population-based observational study.

Science.gov (United States)

Brynolf, Anne; Johansson, Stefan; Appelgren, Ester; Lynoe, Niels; Edstedt Bonamy, Anna-Karin

2013-01-01

To investigate potential violations of patient confidentiality or other breaches of medical ethics committed by physicians and medical students active on the social networking site Twitter. Population-based cross-sectional observational study. The social networking site Twitter (Swedish-speaking users, n=298819). Physicians and medical students (Swedish-speaking users, n=237) active on the social networking site Twitter between July 2007 and March 2012. Postings that reflect unprofessional behaviour and ethical breaches among physicians and medical students. In all, 237 Twitter accounts were established as held by physicians and medical students and a total of 13 780 tweets were analysed by content. In all, 276 (1.9%) tweets were labelled as 'unprofessional'. Among these, 26 (0.2%) tweets written by 15 (6.3%) physicians and medical students included information that could violate patient privacy. No information on the personal ID number or names was disclosed, but parts of the patient documentation or otherwise specific indicatory information on patients were found. Unprofessional tweets were more common among users writing under a pseudonym and among medical students. In this study of physicians and medical students on Twitter, we observed potential violations of patient privacy and other breaches of medical ethics. Our findings underline that every physician and medical student has to consider his or her presence on social networking sites. It remains to be investigated if the introduction of social networking site guidelines for medical professionals will improve awareness.

Professional Twitter Development with Examples in NET 35

CERN Document Server

Crenna, Daniel

2009-01-01

Twitter is rapidly moving up the social networking food chain and is currently outranked by only Facebook and MySpace. It features a programming API that allows you to build Web sites and applications (both desktop and mobile) for reading and posting to Twitter, finding other Twitter users, aggregating Twitter content, and other uses. This book walks you through the process of combining many programming tools in order to build exciting, useful, and profitable applications. You'll begin with a look at RESTful services and examine how to structure your queries, handle asynchronous operations,

Social network analyzer on the example of Twitter

Science.gov (United States)

Gorodetskaia, Mariia; Khruslova, Diana

2017-09-01

Social networks are powerful sources of data due to their popularity. Twitter is one of the networks providing a lot of data. There is need to collect this data for future usage from linguistics to SMM and marketing. The report examines the existing software solutions and provides new ones. The study includes information about the software developed. Some future features are listed.

Twelve tips for using Twitter as a learning tool in medical education.

Science.gov (United States)

Forgie, Sarah Edith; Duff, Jon P; Ross, Shelley

2013-01-01

Twitter is an online social networking service, accessible from any Internet-capable device. While other social networking sites are online confessionals or portfolios of personal current events, Twitter is designed and used as a vehicle to converse and share ideas. For this reason, we believe that Twitter may be the most likely candidate for integrating social networking with medical education. Using current research in medical education, motivation and the use of social media in higher education, we aim to show the ways Twitter may be used as a learning tool in medical education. A literature search of several databases, online sources and blogs was carried out examining the use of Twitter in higher education. We created 12 tips for using Twitter as a learning tool and organized them into: the mechanics of using Twitter, suggestions and evidence for incorporating Twitter into many medical education contexts, and promoting research into the use of Twitter in medical education. Twitter is a relatively new social medium, and its use in higher education is in its infancy. With further research and thoughtful application of media literacy, Twitter is likely to become a useful adjunct for more personalized teaching and learning in medical education.

Social Network Sites Effectiveness from EFL Students' Viewpoints

Science.gov (United States)

Alnujaidi, Sulaiman

2017-01-01

This study investigated the relationship between EFL students' experience, attitudes, perceptions, and expectations toward the effectiveness of Social Network Sites (SNS), namely, Facebook, Twitter, YouTube, Instagram, Flickr, Classmates, Academica, MySpace, English baby, and Google+, in English language learning. A survey of 103 participants from…

A content analysis of chronic diseases social groups on Facebook and Twitter.

Science.gov (United States)

De la Torre-Díez, Isabel; Díaz-Pernas, Francisco Javier; Antón-Rodríguez, Míriam

2012-01-01

Research on the use of social networks for health-related purposes is limited. This study aims to characterize the purpose and use of Facebook and Twitter groups concerning colorectal cancer, breast cancer, and diabetes. We searched in Facebook ( www.facebook.com ) and Twitter ( www.twitter.com ) using the terms "colorectal cancer," "breast cancer," and "diabetes." Each important group has been analyzed by extracting its network name, number of members, interests, and Web site URL. We found 216 breast cancer groups, 171 colorectal cancer groups, and 527 diabetes groups on Facebook and Twitter. The largest percentage of the colorectal cancer groups (25.58%) addresses prevention, similarly to breast cancer, whereas diabetes groups are mainly focused on research issues (25.09%). There are more social groups about breast cancer and diabetes on Facebook (around 82%) than on Twitter (around 18%). Regarding colorectal cancer, the difference is less: Facebook had 62.23%, and Twitter 31.76%. Social networks are a useful tool for supporting patients suffering from these three diseases. Regarding the use of these social networks for disease support purposes, Facebook shows a higher usage rate than Twitter, perhaps because Twitter is newer than Facebook, and its use is not so generalized.

Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California

Science.gov (United States)

Chew, Robert F; Hsieh, Yuli P; Bieler, Gayle S; Bobashev, Georgiy V; Siege, Christopher; Zarkin, Gary A

2017-01-01

Background Twitter represents a social media platform through which medical cannabis dispensaries can rapidly promote and advertise a multitude of retail products. Yet, to date, no studies have systematically evaluated Twitter behavior among dispensaries and how these behaviors influence the formation of social networks. Objectives This study sought to characterize common cyberbehaviors and shared follower networks among dispensaries operating in two large cannabis markets in California. Methods From a targeted sample of 119 dispensaries in the San Francisco Bay Area and Greater Los Angeles, we collected metadata from the dispensary accounts using the Twitter API. For each city, we characterized the network structure of dispensaries based upon shared followers, then empirically derived communities with the Louvain modularity algorithm. Principal components factor analysis was employed to reduce 12 Twitter measures into a more parsimonious set of cyberbehavioral dimensions. Finally, quadratic discriminant analysis was implemented to verify the ability of the extracted dimensions to classify dispensaries into their derived communities. Results The modularity algorithm yielded three communities in each city with distinct network structures. The principal components factor analysis reduced the 12 cyberbehaviors into five dimensions that encompassed account age, posting frequency, referencing, hyperlinks, and user engagement among the dispensary accounts. In the quadratic discriminant analysis, the dimensions correctly classified 75% (46/61) of the communities in the San Francisco Bay Area and 71% (41/58) in Greater Los Angeles. Conclusions The most centralized and strongly connected dispensaries in both cities had newer accounts, higher daily activity, more frequent user engagement, and increased usage of embedded media, keywords, and hyperlinks. Measures derived from both network structure and cyberbehavioral dimensions can serve as key contextual indicators for the

Connected or informed?: Local Twitter networking in a London neighbourhood

Directory of Open Access Journals (Sweden)

John Bingham-Hall

2015-08-01

Full Text Available This paper asks whether geographically localised, or ‘hyperlocal’, uses of Twitter succeed in creating peer-to-peer neighbourhood networks or simply act as broadcast media at a reduced scale. Literature drawn from the smart cities discourse and from a UK research project into hyperlocal media, respectively, take on these two opposing interpretations. Evidence gathered in the case study presented here is consistent with the latter, and on this basis we criticise the notion that hyperlocal social media can be seen as a community in itself. We demonstrate this by creating a network map of Twitter followers of a popular hyperlocal blog in Brockley, southeast London. We describe various attributes of this network including its average degree and clustering coefficient to suggest that a small and highly connected cluster of visible local entities such as businesses form a clique at the centre of this network, with individual residents following these but not one another. We then plot the locations of these entities and demonstrate that sub-communities in the network are formed due to close geographical proximity between smaller sets of businesses. These observations are illustrated with qualitative evidence from interviews with users who suggest instead that rather than being connected to one another they benefit from what has been described as ‘neighbourhood storytelling’. Despite the limitations of working with Twitter data, we propose that this multi-modal approach offers a valuable way to investigate the experience of using social media as a communication tool in urban neighbourhoods.

BEYOND THE BLOG: THE NETWORKED SELF OF TRAVEL BLOGGERS ON TWITTER

Directory of Open Access Journals (Sweden)

Deepti Ruth Azariah

2012-06-01

Full Text Available Studies of the use of social media in tourism rarely discuss various tools in conjunction with each other. The growth of Twitter has attracted the attention of tourism researchers interested in the platform as a marketing tool and a source of information about consumers (Claster, Cooper, & Sallis, 2010; Hay, 2010. Similar studies of travel blogs largely focus on what tourists say about destinations and their own experiences (Akehurst, 2009; Bosangit, McCabe, & Hibbert, 2009; Schmallegger & Carson, 2008. Blogs in general, and travel blogs in particular, are widely regarded as providing credible information about their authors. Both the content and formal features of these online narratives shape the self-presentation and positioning of their authors as bloggers. Given that blogs are increasingly "distributed" (Helmond, 2010 and that independent travel bloggers often link to other platforms, it is necessary to consider author-created content beyond the blog to understand the presentation of what Papacharissi (2010 calls a "networked self." Drawing on the theories of Bakhtin and Goffman, which have informed previous analyses of blogs, and Dann’s (1996 concept of tourist discourse, this paper argues that the Twitter pages of independent travel bloggers extend the self-presentation in their blogs. In particular, it focuses on how travel bloggers use specific conventions, formal features, and narrative techniques of Twitter to express a networked self and reiterate themes of the blog. Through a random selection and textual analysis of various messages it finds that while there is some mention of the travel experience, the various conventions and conversations on Twitter are self-presentational elements that generally strengthen the authors’ position as travel bloggers. The characteristic narrative techniques of Twitter also reveal tensions between the discourses of travel and tourism. The networked self of the independent travel blogger is

Collaborative Tools for e-Participation across Networks: The Comuno Networking Site for Public Governance and Services

Directory of Open Access Journals (Sweden)

Michael Kaschesky

2010-04-01

Full Text Available This paper presents collaborative tools for public participation across multiple networking sites. The tools are part of the Comuno networking site for public governance and services, which is particularly targeted at the public sector (currently in alpha testing at http://comuno.org. The Broadcast tool allows cross-posting content from Comuno to a wide variety of other networking sites, such as Facebook or Twitter. The UserFeed and TopicFeed tools build RSS feeds from content published by a specific user or under a specific topic. The LifeStream tool gathers a user’s activities across multiple networking sites in the private account section at Comuno. These tools and related aspects of the Comuno networking site are discussed and presented in the context of deliberation and opinion-forming in a Swiss bilingual city.

Problematic use of social networking sites among urban school going teenagers

OpenAIRE

Meena, Parth Singh; Mittal, Pankaj Kumar; Solanki, Ram Kumar

2012-01-01

Background: Social networking sites like Facebook, Orkut and Twitter are virtual communities where users can create individual public profiles, interact with real-life friends and meet other people based on shared interests. An exponential rise in usage of Social Networking Sites have been seen within the last few years. Their ease of use and immediate gratification effect on users has changed the way people in general and students in particular spend their time. Young adults, particularly te...

Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California.

Science.gov (United States)

Peiper, Nicholas C; Baumgartner, Peter M; Chew, Robert F; Hsieh, Yuli P; Bieler, Gayle S; Bobashev, Georgiy V; Siege, Christopher; Zarkin, Gary A

2017-07-04

Twitter represents a social media platform through which medical cannabis dispensaries can rapidly promote and advertise a multitude of retail products. Yet, to date, no studies have systematically evaluated Twitter behavior among dispensaries and how these behaviors influence the formation of social networks. This study sought to characterize common cyberbehaviors and shared follower networks among dispensaries operating in two large cannabis markets in California. From a targeted sample of 119 dispensaries in the San Francisco Bay Area and Greater Los Angeles, we collected metadata from the dispensary accounts using the Twitter API. For each city, we characterized the network structure of dispensaries based upon shared followers, then empirically derived communities with the Louvain modularity algorithm. Principal components factor analysis was employed to reduce 12 Twitter measures into a more parsimonious set of cyberbehavioral dimensions. Finally, quadratic discriminant analysis was implemented to verify the ability of the extracted dimensions to classify dispensaries into their derived communities. The modularity algorithm yielded three communities in each city with distinct network structures. The principal components factor analysis reduced the 12 cyberbehaviors into five dimensions that encompassed account age, posting frequency, referencing, hyperlinks, and user engagement among the dispensary accounts. In the quadratic discriminant analysis, the dimensions correctly classified 75% (46/61) of the communities in the San Francisco Bay Area and 71% (41/58) in Greater Los Angeles. The most centralized and strongly connected dispensaries in both cities had newer accounts, higher daily activity, more frequent user engagement, and increased usage of embedded media, keywords, and hyperlinks. Measures derived from both network structure and cyberbehavioral dimensions can serve as key contextual indicators for the online surveillance of cannabis dispensaries and

HOW DO STUDENTS SELECT SOCIAL NETWORKING SITES? AN ANALYTIC HIERARCHY PROCESS (AHP MODEL

Directory of Open Access Journals (Sweden)

Chun Meng Tang

2015-12-01

Full Text Available Social networking sites are popular among university students, and students today are indeed spoiled for choice. New emerging social networking sites sprout up amid popular sites, while some existing ones die out. Given the choice of so many social networking sites, how do students decide which one they will sign up for and stay on as an active user? The answer to this question is of interest to social networking site designers and marketers. The market of social networking sites is highly competitive. To maintain the current user base and continue to attract new users, how should social networking sites design their sites? Marketers spend a fairly large percent of their marketing budget on social media marketing. To formulate an effective social media strategy, how much do marketers understand the users of social networking sites? Learning from website evaluation studies, this study intends to provide some answers to these questions by examining how university students decide between two popular social networking sites, Facebook and Twitter. We first developed an analytic hierarchy process (AHP model of four main selection criteria and 12 sub-criteria, and then administered a questionnaire to a group of university students attending a course at a Malaysian university. AHP analyses of the responses from 12 respondents provided an insight into the decision-making process involved in students’ selection of social networking sites. It seemed that of the four main criteria, privacy was the top concern, followed by functionality, usability, and content. The sub-criteria that were of key concern to the students were apps, revenue-generating opportunities, ease of use, and information security. Between Facebook and Twitter, the students thought that Facebook was the better choice. This information is useful for social networking site designers to design sites that are more relevant to their users’ needs, and for marketers to craft more effective

Considering a Twitter-Based Professional Learning Network in Literacy Education

Science.gov (United States)

Colwell, Jamie; Hutchison, Amy C.

2018-01-01

This study explored how 26 preservice secondary content teachers perceived their experiences participating in and developing a Twitter-based professional learning network focused on disciplinary literacy. Participants completed blog reflections and anonymous online surveys to reflect on their experiences, which served as data for this study. A…

Contemporary social network sites: Relevance in anesthesiology teaching, training, and research.

Science.gov (United States)

Haldar, Rudrashish; Kaushal, Ashutosh; Samanta, Sukhen; Ambesh, Paurush; Srivastava, Shashi; Singh, Prabhat K

2016-01-01

The phenomenal popularity of social networking sites has been used globally by medical professionals to boost professional associations and scientific developments. They have tremendous potential to forge professional liaisons, generate employment,upgrading skills and publicizing scientific achievements. We highlight the role of social networking mediums in influencing teaching, training and research in anaesthesiology. The growth of social networking sites have been prompted by the limitations of previous facilities in terms of ease of data and interface sharing and the amalgamation of audio visual aids on common platforms in the newer facilities. Contemporary social networking sites like Facebook, Twitter, Tumblr,Linkedn etc and their respective features based on anaesthesiology training or practice have been discussed. A host of advantages which these sites confer are also discussed. Likewise the potential pitfalls and drawbacks of these facilities have also been addressed. Social networking sites have immense potential for development of training and research in Anaesthesiology. However responsible and cautious utilization is advocated.

Statistics of co-occurring keywords in confined text messages on Twitter

DEFF Research Database (Denmark)

Mathiesen, Joachim; Angheluta, L.; Jensen, M. H.

2014-01-01

Online social media such as the micro-blogging site Twitter has become a rich source of real-time data on online human behaviors. Here we analyze the occurrence and co-occurrence frequency of keywords in user posts on Twitter. From the occurrence rate of major international brand names, we provide...... examples of predictions of brand-user behaviors. From the co-occurrence rates, we further analyze the user-perceived relationships between international brand names and construct the corresponding relationship networks. In general the user activity on Twitter is highly intermittent and we show...

Differences Between People Who Use Only Facebook And Those Who Use Facebook Plus Twitter

Science.gov (United States)

Petrocchi, Nicola; Asnaani, Anu; Martinez, Alejandra Piquer; Nadkarni, Ashwini; Hofmann, Stefan G.

2015-01-01

Facebook (FB) and Twitter are popular social networking sites. This study examined differences between those who use both sites versus only FB, to test the hypothesis that mono-users differ in their personality characteristics from users active in both websites. Participants were 205 undergraduate students; 96 only used FB, 109 used FB and Twitter. Participants who used both sites reported significantly lower loneliness, higher number of FB friends, and lower number of minutes spent online, as compared to those who only used FB. Loneliness was positively associated with FB use only in those who used FB alone, but was negatively associated with and negatively predicted both FB and Twitter use in those who used both websites. Findings suggest that more intense use of online interactions is more frequently found in mono-users (people using only Facebook) as compared to those using both websites, and it is predicted by increased feelings of loneliness. The current study findings provide additional insights on what personality factors may make some people prone to excessive use of social networking sites. PMID:26997849

Differences Between People Who Use Only Facebook And Those Who Use Facebook Plus Twitter.

Science.gov (United States)

Petrocchi, Nicola; Asnaani, Anu; Martinez, Alejandra Piquer; Nadkarni, Ashwini; Hofmann, Stefan G

2015-02-01

Facebook (FB) and Twitter are popular social networking sites. This study examined differences between those who use both sites versus only FB, to test the hypothesis that mono-users differ in their personality characteristics from users active in both websites. Participants were 205 undergraduate students; 96 only used FB, 109 used FB and Twitter. Participants who used both sites reported significantly lower loneliness, higher number of FB friends, and lower number of minutes spent online, as compared to those who only used FB. Loneliness was positively associated with FB use only in those who used FB alone, but was negatively associated with and negatively predicted both FB and Twitter use in those who used both websites. Findings suggest that more intense use of online interactions is more frequently found in mono-users (people using only Facebook) as compared to those using both websites, and it is predicted by increased feelings of loneliness. The current study findings provide additional insights on what personality factors may make some people prone to excessive use of social networking sites.

Analysis of emergency physicians' Twitter accounts.

Science.gov (United States)

Lulic, Ileana; Kovic, Ivor

2013-05-01

Twitter is one of the fastest growing social media networks for communication between users via short messages. Technology proficient physicians have demonstrated enthusiasm in adopting social media for their work. To identify and create the largest directory of emergency physicians on Twitter, analyse their user accounts and reveal details behind their connections. Several web search tools were used to identify emergency physicians on Twitter with biographies completely or partially written in English. NodeXL software was used to calculate emergency physicians' Twitter network metrics and create visualisation graphs. The authors found 672 Twitter accounts of self-identified emergency physicians. Protected accounts were excluded from the study, leaving 632 for further analysis. Most emergency physicians were located in USA (55.4%), had created their accounts in 2009 (43.4%), used their full personal name (77.5%) and provided a custom profile picture (92.2%). Based on at least one published tweet in the last 15 days, there were 345 (54.6%) active users on 31 December 2011. Active users mostly used mobile devices based on the Apple operating system to publish tweets (69.2%). Visualisation of emergency physicians' Twitter network revealed many users with no connections with their colleagues, and a small group of most influential users who were highly interconnected. Only a small proportion of registered emergency physicians use Twitter. Among them exists a smaller inner network of emergency physicians with strong social bonds that is using Twitter's full potentials for professional development.

Twitter Application Development For Dummies

CERN Document Server

Reagan, Dusty

2010-01-01

Get the guide to planning, developing and monetizing apps for Twitter!. Twitter is the one of the hottest trends in social networking. With several million users, Twitter's popularity is growing everyday. Twitter will continue to increase user base while third-party companies keep popping up all over to make money building Twitter apps for phones, advertising tools, analytics/management tools and more. Some of the most popular Twitter apps include TwitPic, Twhirl, TweetDeck, and FriendorFollow. With this book, author Dusty Reagan uses one of his unpublished Twitter app ideas and takes you thro

A multilayer network analysis of hashtags in twitter via co-occurrence and semantic links

Science.gov (United States)

Türker, Ilker; Sulak, Eyüb Ekmel

2018-02-01

Complex network studies, as an interdisciplinary framework, span a large variety of subjects including social media. In social networks, several mechanisms generate miscellaneous structures like friendship networks, mention networks, tag networks, etc. Focusing on tag networks (namely, hashtags in twitter), we made a two-layer analysis of tag networks from a massive dataset of Twitter entries. The first layer is constructed by converting the co-occurrences of these tags in a single entry (tweet) into links, while the second layer is constructed converting the semantic relations of the tags into links. We observed that the universal properties of the real networks like small-world property, clustering and power-law distributions in various network parameters are also evident in the multilayer network of hashtags. Moreover, we outlined that co-occurrences of hashtags in tweets are mostly coupled with semantic relations, whereas a small number of semantically unrelated, therefore random links reduce node separation and network diameter in the co-occurrence network layer. Together with the degree distributions, the power-law consistencies of degree difference, edge weight and cosine similarity distributions in both layers are also appealing forms of Zipf’s law evident in nature.

Dissemination of health information through social networks: twitter and antibiotics.

Science.gov (United States)

Scanfeld, Daniel; Scanfeld, Vanessa; Larson, Elaine L

2010-04-01

This study reviewed Twitter status updates mentioning "antibiotic(s)" to determine overarching categories and explore evidence of misunderstanding or misuse of antibiotics. One thousand Twitter status updates mentioning antibiotic(s) were randomly selected for content analysis and categorization. To explore cases of potential misunderstanding or misuse, these status updates were mined for co-occurrence of the following terms: "cold + antibiotic(s)," "extra + antibiotic(s)," "flu + antibiotic(s)," "leftover + antibiotic(s)," and "share + antibiotic(s)" and reviewed to confirm evidence of misuse or misunderstanding. Of the 1000 status updates, 971 were categorized into 11 groups: general use (n = 289), advice/information (n = 157), side effects/negative reactions (n = 113), diagnosis (n = 102), resistance (n = 92), misunderstanding and/or misuse (n = 55), positive reactions (n = 48), animals (n = 46), other (n = 42), wanting/needing (n = 19), and cost (n = 8). Cases of misunderstanding or abuse were identified for the following combinations: "flu + antibiotic(s)" (n = 345), "cold + antibiotic(s)" (n = 302), "leftover + antibiotic(s)" (n = 23), "share + antibiotic(s)" (n = 10), and "extra + antibiotic(s)" (n = 7). Social media sites offer means of health information sharing. Further study is warranted to explore how such networks may provide a venue to identify misuse or misunderstanding of antibiotics, promote positive behavior change, disseminate valid information, and explore how such tools can be used to gather real-time health data. 2010 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.

The use of social-networking sites in medical education.

Science.gov (United States)

Cartledge, Peter; Miller, Michael; Phillips, Bob

2013-10-01

A social-network site is a dedicated website or application which enables users to communicate with each other and share information, comments, messages, videos and images. This review aimed to ascertain if "social-networking sites have been used successfully in medical education to deliver educational material", and whether "healthcare professionals, and students, are engaging with social-networking sites for educational purposes". A systematic-review was undertaken using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Eight databases were searched with pre-defined search terms, limits and inclusion criteria. Data was extracted into a piloted data-table prior to the narrative-synthesis of the Quality, Utility, Extent, Strength, Target and Setting of the evidence. 1047 articles were identified. Nine articles were reviewed with the majority assessing learner satisfaction. Higher outcome measures were rarely investigated. Educators used Facebook, Twitter, and a custom-made website, MedicineAfrica to achieve their objectives. Social-networking sites have been employed without problems of professionalism, and received positive feedback from learners. However, there is no solid evidence base within the literature that social-networking is equally or more effective than other media available for educational purposes.

Tweeted thoughts and Twittered Relationships. Some Sociological Remarks on the promises and limits of molecular online communications

OpenAIRE

Geser, H

2010-01-01

Twitter (and other micro blogging services) combine the flexibility and immediacy of bilateral telephone SMS with the multilateral networking capacities of the Web 2.0. In contrast to Blogs, discussion fora and Social Network Sites, Twitter allows online communication characterized by asymmetric leadership-follower relationships, remoteness of sender identity, metacommunicative signaling functions and low threshold spontaneous RealTime responses compatible with most current social activities ...

Novel survey disseminated through Twitter supports its utility for networking, disseminating research, advocacy, clinical practice and other professional goals.

Science.gov (United States)

Borgmann, Hendrik; DeWitt, Sasha; Tsaur, Igor; Haferkamp, Axel; Loeb, Stacy

2015-01-01

Twitter use has grown exponentially within the urological community. We aimed to determine the perceptions of the impact of Twitter on users' clinical practice, research, and other professional activities. We performed an 11-item online survey of Twitter contributors during two major urological meetings: the European Association of Urology (EAU) and the American Urological Association (AUA) annual meetings. During the EAU 2014 meeting, we distributed the survey via the meeting official Twitter feed. During the AUA 2014 meeting, we applied a new method by directly sending the survey to Twitter contributors. We performed a subset analysis for assessing the perceived impact of Twitter on the clinical practice of physicians. Among 312 total respondents, the greatest perceived benefits of Twitter among users were for networking (97%) and disseminating information (96%), followed by research (75%), advocacy (74%) and career development (62%). In total, 65% of Twitter users have dealt with guidelines on online medical professionalism and 71% of physician users found that Twitter had an impact on their clinical practice, and 33% had made a clinical decision based on an online case discussion. Our results suggest that Twitter users in the urological community perceive important benefits. These benefits extend to multiple professional domains, particularly networking, disseminating information, remote conference participation, research, and advocacy. This is the first study that has been disseminated to targeted individuals from the urological community directly through tweets, providing a proof of principle for this research method.

Statistics of co-occurring keywords in confined text messages on Twitter

Science.gov (United States)

Mathiesen, J.; Angheluta, L.; Jensen, M. H.

2014-09-01

Online social media such as the micro-blogging site Twitter has become a rich source of real-time data on online human behaviors. Here we analyze the occurrence and co-occurrence frequency of keywords in user posts on Twitter. From the occurrence rate of major international brand names, we provide examples of predictions of brand-user behaviors. From the co-occurrence rates, we further analyze the user-perceived relationships between international brand names and construct the corresponding relationship networks. In general the user activity on Twitter is highly intermittent and we show that the occurrence rate of brand names forms a highly correlated time signal.

Emotional Uses of Facebook and Twitter.

Science.gov (United States)

Errasti, Jose; Amigo, Isaac; Villadangos, Manuel

2017-01-01

Facebook and Twitter have change interpersonal relationships. Adolescents are the sector of the population who use most these networks. They use them in an emotional way, to express their emotions and to comment on those of others. Empathy, narcissism, and self-esteem may play an important role in the use of these networks. Using a sample of 503 Spanish adolescents (272 males, 231 females), this work studies the relationship between the Basic Empathy Scale, the Narcissistic Personality Inventory, the Rosenberg Self-Esteem Scale, and emotional and empathic use of Facebook and Twitter. The results showed that those who use Facebook and Twitter have higher scores in empathy. It has been observed that certain ways of using these two social networks are associated with narcissism. Greater use of Facebook and Twitter is associated with lower self-esteem.

Two types of well followed users in the followership networks of Twitter.

Directory of Open Access Journals (Sweden)

Kodai Saito

Full Text Available In the Twitter blogosphere, the number of followers is probably the most basic and succinct quantity for measuring popularity of users. However, the number of followers can be manipulated in various ways; we can even buy follows. Therefore, alternative popularity measures for Twitter users on the basis of, for example, users' tweets and retweets, have been developed. In the present work, we take a purely network approach to this fundamental question. First, we find that two relatively distinct types of users possessing a large number of followers exist, in particular for Japanese, Russian, and Korean users among the seven language groups that we examined. A first type of user follows a small number of other users. A second type of user follows approximately the same number of other users as the number of follows that the user receives. Then, we compare local (i.e., egocentric followership networks around the two types of users with many followers. We show that the second type, which is presumably uninfluential users despite its large number of followers, is characterized by high link reciprocity, a large number of friends (i.e., those whom a user follows for the followers, followers' high link reciprocity, large clustering coefficient, large fraction of the second type of users among the followers, and a small PageRank. Our network-based results support that the number of followers used alone is a misleading measure of user's popularity. We propose that the number of friends, which is simple to measure, also helps us to assess the popularity of Twitter users.

Use of new media by Turkish fans in sport communication: facebook and twitter.

Science.gov (United States)

Ozsoy, Selami

2011-06-01

This research examines the use of Facebook and Twitter, two social networks, for sportive reasons in Turkey. To this end, the literature was surveyed and a 5 Likert type data collection tool consisting of 21 questions was developed by the researcher based on the expert views. The sample of the research included 460 sport fans who are college students at Abant İzzet Baysal University and Sakarya University. It was found in the research that 91.7% of the participants had a profile on Facebook and 13.3% had a profile on Twitter. The rate of opening an account on Twitter, which still has no version in Turkish language, was low. It was found that the fans mostly followed the official site of their favorite team on Facebook, got informed about the sports activities through Facebook and learned news, which they did not hear from other sources. It was also ascertained that male fans used social networks for sportive reasons more than female fans did (p<.05). It is possible to state that social networks such as Facebook and Twitter have become a rapidly-developing alternative medium in sports against traditional media such as newspaper and television.

Use of New Media by Turkish Fans in Sport Communication: Facebook and Twitter

Science.gov (United States)

Özsoy, Selami

2011-01-01

This research examines the use of Facebook and Twitter, two social networks, for sportive reasons in Turkey. To this end, the literature was surveyed and a 5 Likert type data collection tool consisting of 21 questions was developed by the researcher based on the expert views. The sample of the research included 460 sport fans who are college students at Abant İzzet Baysal University and Sakarya University. It was found in the research that 91.7% of the participants had a profile on Facebook and 13.3% had a profile on Twitter. The rate of opening an account on Twitter, which still has no version in Turkish language, was low. It was found that the fans mostly followed the official site of their favorite team on Facebook, got informed about the sports activities through Facebook and learned news, which they did not hear from other sources. It was also ascertained that male fans used social networks for sportive reasons more than female fans did (pocial networks such as Facebook and Twitter have become a rapidly-developing alternative medium in sports against traditional media such as newspaper and television. PMID:23487565

Emergent Collaboration on Twitter

DEFF Research Database (Denmark)

Lundgaard, Daniel; Razmerita, Liana; Tan, Chee-Wee

2018-01-01

This paper explores the organizing elements that foster emergent collaboration within large-scale communities on online social platforms like Twitter. This study is based on a case study of the #BlackLivesMatter social movement and draws on organizing dynamics and online social network literature...... foster emergent collaboration in social movements using Twitter....

Use and views on social networking sites of pharmacy students in the United kingdom.

Science.gov (United States)

Hall, Maurice; Hanna, Lezley-Anne; Huey, Gwyneth

2013-02-12

Objective. To investigate students' use and views on social networking sites and assess differences in attitudes between genders and years in the program.Methods. All pharmacy undergraduate students were invited via e-mail to complete an electronic questionnaire consisting of 21 questions relating to social networking.Results. Most (91.8%) of the 377 respondents reported using social networking Web sites, with 98.6% using Facebook and 33.7% using Twitter. Female students were more likely than male students to agree that they had been made sufficiently aware of the professional behavior expected of them when using social networking sites (76.6% vs 58.1% p=0.002) and to agree that students should have the same professional standards whether on placement or using social networking sites (76.3% vs 61.6%; psocial networking use and potentially inappropriate attitudes towards professionalism were found among pharmacy students. Further training may be useful to ensure pharmacy students are aware of how to apply codes of conduct when using social networking sites.

Use and Views on Social Networking Sites of Pharmacy Students in the United Kingdom

Science.gov (United States)

Hanna, Lezley-Anne; Huey, Gwyneth

2013-01-01

Objective. To investigate students' use and views on social networking sites and assess differences in attitudes between genders and years in the program. Methods. All pharmacy undergraduate students were invited via e-mail to complete an electronic questionnaire consisting of 21 questions relating to social networking. Results. Most (91.8%) of the 377 respondents reported using social networking Web sites, with 98.6% using Facebook and 33.7% using Twitter. Female students were more likely than male students to agree that they had been made sufficiently aware of the professional behavior expected of them when using social networking sites (76.6% vs 58.1% p=0.002) and to agree that students should have the same professional standards whether on placement or using social networking sites (76.3% vs 61.6%; p<0.001). Conclusions. A high level of social networking use and potentially inappropriate attitudes towards professionalism were found among pharmacy students. Further training may be useful to ensure pharmacy students are aware of how to apply codes of conduct when using social networking sites. PMID:23459621

Facebook vs. Twitter: Battle of the Social Network Stars

Science.gov (United States)

Tagtmeier, Curt

2010-01-01

Twitter. Facebook. These names stir up feelings, opinions, and experiences in just about everyone. As these services rise in popularity, libraries have begun to use them to reach out to patrons. Some libraries use Twitter but not Facebook. Some use Facebook but not Twitter. Some use both Facebook and Twitter, while others use neither. Yes, the…

Evaluation of Twitter Users Writings about Teachers in Turkey

Science.gov (United States)

Yavuz, Mustafa

2014-01-01

As a social sharing network whose number of users worldwide continues to rapidly increase, Twitter has become an active network for individuals to share their thoughts and feelings at any given time. The purpose of this work, then, is to evaluate Twitter users of Turkey in terms of how they write about their teachers on Twitter. In order to…

A simplistic model for identifying prominent web users in directed multiplex social networks: a case study using Twitter networks

Science.gov (United States)

Loucif, Hemza; Boubetra, Abdelhak; Akrouf, Samir

2016-10-01

This paper aims to describe a new simplistic model dedicated to gauge the online influence of Twitter users based on a mixture of structural and interactional features. The model is an additive mathematical formulation which involves two main parts. The first part serves to measure the influence of the Twitter user on just his neighbourhood covering his followers. However, the second part evaluates the potential influence of the Twitter user beyond the circle of his followers. Particularly, it measures the likelihood that the tweets of the Twitter user will spread further within the social graph through the retweeting process. The model is tested on a data set involving four kinds of real-world egocentric networks. The empirical results reveal that an active ordinary user is more prominent than a non-active celebrity one. A simple comparison is conducted between the proposed model and two existing simplistic approaches. The results show that our model generates the most realistic influence scores due to its dealing with both explicit (structural and interactional) and implicit features.

Network Traffic Forensics on Firefox Mobile OS: Facebook, Twitter and Telegram as Case Studies

OpenAIRE

Yusoff, Mohd Najwadi; Dehghantanha, Ali; Mahmod, Ramlan

2017-01-01

Development of mobile web-centric OS such as Firefox OS has created new challenges, and opportunities for digital investigators. Network traffic forensic plays an important role in cybercrime investigation to detect subject(s) and object(s) of the crime. In this chapter, we detect and analyze residual network traffic artefacts of Firefox OS in relation to two popular social networking applications (Facebook and Twitter) and one instant messaging application (Telegram). We utilized a Firefox O...

CSR Communication Strategies for Twitter : Microblogging as a Tool for Public Relations

OpenAIRE

Etter, Michael; Plotkowiak, Thomas; Stanoevska-Slabeva, Katarina

2011-01-01

This study explores how companies use the social media tool Twitter for CSR communication. By analyzing CSR communication conducted by 30 most central corporate Twitter accounts, identified through social network analysis within a CSR-Twitter-network consisting of 19'855 Twitter members, we contribute to the understanding of Twitter's role for CSR communication and public relations. Manually conducted content analysis of totally 41‘864 corporate Twitter messages gives insights into different ...

A review of influenza detection and prediction through social networking sites.

Science.gov (United States)

Alessa, Ali; Faezipour, Miad

2018-02-01

Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of diseases. Search engines and social networking sites can be used to track trends of different diseases seven to ten days faster than government agencies such as Center of Disease Control and Prevention (CDC). CDC uses the Illness-Like Influenza Surveillance Network (ILINet), which is a program used to monitor Influenza-Like Illness (ILI) sent by thousands of health care providers in order to detect influenza outbreaks. It is a reliable tool, however, it is slow and expensive. For that reason, many studies aim to develop methods that do real time analysis to track ILI using social networking sites. Social media data such as Twitter can be used to predict the spread of flu in the population and can help in getting early warnings. Today, social networking sites (SNS) are used widely by many people to share thoughts and even health status. Therefore, SNS provides an efficient resource for disease surveillance and a good way to communicate to prevent disease outbreaks. The goal of this study is to review existing alternative solutions that track flu outbreak in real time using social networking sites and web blogs. Many studies have shown that social networking sites can be used to conduct real time analysis for better predictions.

PhishAri: Automatic Realtime Phishing Detection on Twitter

OpenAIRE

Aggarwal, Anupama; Rajadesingan, Ashwin; Kumaraguru, Ponnurangam

2013-01-01

With the advent of online social media, phishers have started using social networks like Twitter, Facebook, and Foursquare to spread phishing scams. Twitter is an immensely popular micro-blogging network where people post short messages of 140 characters called tweets. It has over 100 million active users who post about 200 million tweets everyday. Phishers have started using Twitter as a medium to spread phishing because of this vast information dissemination. Further, it is difficult to det...

Becoming a Doctoral Researcher in a Digital World: Reflections on the Role of Twitter for Reflexivity and the Internal Conversation

Science.gov (United States)

Rainford, Jon

2016-01-01

Twitter and other social networking sites have much to offer doctoral students, especially given that models for doctoral education are increasingly becoming more diverse with more students studying part-time for traditional PhDs, or on programmes such as professional doctorates. Prior research has highlighted the benefits of Twitter but, as other…

Problematic use of social networking sites among urban school going teenagers

Science.gov (United States)

Meena, Parth Singh; Mittal, Pankaj Kumar; Solanki, Ram Kumar

2012-01-01

Background: Social networking sites like Facebook, Orkut and Twitter are virtual communities where users can create individual public profiles, interact with real-life friends and meet other people based on shared interests. An exponential rise in usage of Social Networking Sites have been seen within the last few years. Their ease of use and immediate gratification effect on users has changed the way people in general and students in particular spend their time. Young adults, particularly teenagers tended to be unaware of just how much time they really spent on social networking sites. Negative correlates of Social Networking Sites usage include the decrease in real life social community participation and academic achievement, as well as relationship problems, each of which may be indicative of potential addiction. Aims: the aim of the study was to find out whether teenagers, specially those living in cities spend too much time on social networking websites. Materials and Methods: 200 subjects, both boys and girls were included in the cross sectional study who were given a 20 item Young's internet addiction test modified for social networking sites. The responses were analyzed using chi square test and Fisher's exact test. Results: 24.74% of the students were having occasional or ‘frequency’ problems while 2.02% of them were experiencing severe problems due to excessive time spent using social networking sites. Conclusion: With the ever increasing popularity of social media, teenagers are devoting significant time to social networking on websites and are prone to get ‘addicted’ to such form of online social interaction. PMID:24250039

Problematic use of social networking sites among urban school going teenagers

Directory of Open Access Journals (Sweden)

Parth Singh Meena

2012-01-01

Full Text Available Background: Social networking sites like Facebook, Orkut and Twitter are virtual communities where users can create individual public profiles, interact with real-life friends and meet other people based on shared interests. An exponential rise in usage of Social Networking Sites have been seen within the last few years. Their ease of use and immediate gratification effect on users has changed the way people in general and students in particular spend their time. Young adults, particularly teenagers tended to be unaware of just how much time they really spent on social networking sites. Negative correlates of Social Networking Sites usage include the decrease in real life social community participation and academic achievement, as well as relationship problems, each of which may be indicative of potential addiction. Aims: the aim of the study was to find out whether teenagers, specially those living in cities spend too much time on social networking websites. Materials and Methods: 200 subjects, both boys and girls were included in the cross sectional study who were given a 20 item Young′s internet addiction test modified for social networking sites. The responses were analyzed using chi square test and Fisher′s exact test. Results: 24.74% of the students were having occasional or ′frequency′ problems while 2.02% of them were experiencing severe problems due to excessive time spent using social networking sites. Conclusion: With the ever increasing popularity of social media, teenagers are devoting significant time to social networking on websites and are prone to get ′addicted′ to such form of online social interaction.

Problematic use of social networking sites among urban school going teenagers.

Science.gov (United States)

Meena, Parth Singh; Mittal, Pankaj Kumar; Solanki, Ram Kumar

2012-07-01

Social networking sites like Facebook, Orkut and Twitter are virtual communities where users can create individual public profiles, interact with real-life friends and meet other people based on shared interests. An exponential rise in usage of Social Networking Sites have been seen within the last few years. Their ease of use and immediate gratification effect on users has changed the way people in general and students in particular spend their time. Young adults, particularly teenagers tended to be unaware of just how much time they really spent on social networking sites. Negative correlates of Social Networking Sites usage include the decrease in real life social community participation and academic achievement, as well as relationship problems, each of which may be indicative of potential addiction. the aim of the study was to find out whether teenagers, specially those living in cities spend too much time on social networking websites. 200 subjects, both boys and girls were included in the cross sectional study who were given a 20 item Young's internet addiction test modified for social networking sites. The responses were analyzed using chi square test and Fisher's exact test. 24.74% of the students were having occasional or 'frequency' problems while 2.02% of them were experiencing severe problems due to excessive time spent using social networking sites. With the ever increasing popularity of social media, teenagers are devoting significant time to social networking on websites and are prone to get 'addicted' to such form of online social interaction.

Poisson statistics of PageRank probabilities of Twitter and Wikipedia networks

Science.gov (United States)

Frahm, Klaus M.; Shepelyansky, Dima L.

2014-04-01

We use the methods of quantum chaos and Random Matrix Theory for analysis of statistical fluctuations of PageRank probabilities in directed networks. In this approach the effective energy levels are given by a logarithm of PageRank probability at a given node. After the standard energy level unfolding procedure we establish that the nearest spacing distribution of PageRank probabilities is described by the Poisson law typical for integrable quantum systems. Our studies are done for the Twitter network and three networks of Wikipedia editions in English, French and German. We argue that due to absence of level repulsion the PageRank order of nearby nodes can be easily interchanged. The obtained Poisson law implies that the nearby PageRank probabilities fluctuate as random independent variables.

Beyond Baby Steps: Today's Use of Social Networking Sites and the Nursing Profession.

Science.gov (United States)

Sandlin, Jean Kelso; Hinmon, Dan

2016-01-01

Nurses' use of online social networking sites, such as Facebook and Twitter, are increasing and with it the controversy surrounding the compatibility of social networking sites within a profession that values privacy and confidentiality. This article draws on case studies, experiments, surveys, and policies from professional organizations, academic research, and nursing education programs spanning the last 5 years to highlight best practices that address 2 critical areas where the values of the nursing profession and those of social media most directly collide: regulatory issues and the blurring of professional and personal online identities. It also suggests ways of using social media to complement patient outcomes and the professional development of nurses while remaining consistent with professional ethics and values.

Structural diversity effect on hashtag adoption in Twitter

Science.gov (United States)

Zhang, Aihua; Zheng, Mingxing; Pang, Bowen

2018-03-01

With online social network developing rapidly these years, user' behavior in online social network has attracted a lot of attentions to it. In this paper, we study Twitter user's behavior of hashtag adoption from the perspective of social contagion and focus on "structure diversity" effect on individual's behavior in Twitter. We achieve data through Twitter's API by crawling and build a users' network to carry on empirical research. The Girvan-Newman (G-N) algorithm is used to analyze the structural diversity of user's ego network, and Logistic regression model is adopted to examine the hypothesis. The findings of our empirical study indicate that user' behavior in online social network is indeed influenced by his friends and his decision is significantly affected by the number of groups that these friends belong to, which we call structural diversity.

Health tweets: an exploration of health promotion on twitter.

Science.gov (United States)

Donelle, Lorie; Booth, Richard G

2012-09-30

Twitter® is a popular microblogging site that allows users to disseminate information in 140 characters of text or less. A review of literature indicated that, to date, there has been little inquiry into the health based discussions conceptualized and enacted within and among Twitter users. Methods for this qualitative study included a directed content analysis, guided by the Public Health Agency of Canada's Determinant of Health (DOH) framework was completed to explore health based discussions on Twitter. A 24-hour cross-section of tweets (N=2400) containing the word or hashtag 'health' were collected for analysis. Findings revealed predominant themes of health services, personal health practices, and education. Many of the tweeted messages reflected existing political and social issues publicized within the global mass media. This study also considered the evolving dynamic behind the conceptualization of health and how it is co-constructed through news media, advertising, and social network technologies. Discussion of the emerging themes and implications for practice are presented.

What do we mean by social networking sites?

Science.gov (United States)

La Sala, Louise; Skues, Jason; Wise, Lisa

2014-01-01

The purpose of this study was to explore people's conceptual understanding of Social Networking Sites (SNSs) through exploring the combined use of a range of popular SNSs, including Facebook, Twitter, Myspace, Instagram, Tumblr, LinkedIn and Google Plus. Seventy-three adults, aged 18 to 63, participated in an online survey that used open-ended questions to ask how participants define and use different SNSs. Four themes were identified, including the explicit presentation and interpretation of different selves, the love-hate relationship with SNSs, privacy and danger concerns, and limited SNS knowledge. The findings from this study suggest that researchers need to consider how people use SNSs in combination as this influences the decisions people make about which SNS accounts they use and how they present themselves on these sites.

Brand content diffusion on Social Networking Sites: Exploring the triadic relationship between the brand, the individual, and the community

NARCIS (Netherlands)

Trostli de Araújo Costa, T.B.

2015-01-01

This dissertation explores the antecedents and consequences of brand content diffusion on Social Networking Sites (SNSs), by investigating what influences SNS users to pass along messages created by brands via retweeting on Twitter, and sharing on Facebook. The dissertation is organized in four

Talking Politics on Twitter: Gender, Elections, and Social Networks

Directory of Open Access Journals (Sweden)

Shannon C. McGregor

2016-08-01

Full Text Available As campaign discussions increasingly circulate within social media, it is important to understand the characteristics of these conversations. Specifically, we ask whether well-documented patterns of gendered bias against women candidates persist in socially networked political discussions. Theorizing power dynamics as relational, we use dialectic configurations between actors as independent variables determining network measures as outcomes. Our goal is to assess relational power granted to candidates through Twitter conversations about them and whether they change depending on the gender of their opponent. Based on more than a quarter of a million tweets about 50 candidates for state-wide offices during the 2014 US elections, results suggest that when a woman opposes a man, the conversation revolves around her, but she retains a smaller portion of rhetorical share. We find that gender affects network structure—women candidates are both more central and more replied to when they run against men. Despite the potential for social media to disrupt deeply rooted gender bias, our findings suggest that the structure of networked discussions about male and female candidates still results in a differential distribution of relational power.

California Digital Library in Twitter-Land

Science.gov (United States)

Starr, Joan

2010-01-01

In October 2009, California Digital Library (CDL), where the author serves as manager of strategic and project planning, jumped into the world of social networking by joining Twitter. From Twitter, the CDL staff publish the content of their monthly newsletter, "CDLINFO News," and also additional content created by CDL programs and…

Let's Have a Tweetup: The Case for Using Twitter Professionally.

Science.gov (United States)

Fuller, Maren Y; Allen, Timothy Craig

2016-09-01

Social media use is very common and can be an effective way for professionals to discuss information and interact with colleagues. Twitter (Twitter, Inc, San Francisco, California) is a social media network where posts, termed tweets, are limited to 140 characters. Professional use of Twitter is ideal for physicians interested in both networking and education and is optimally used to facilitate in-person networking. Live-tweeting (posting real-time reactions to events) at professional meetings is also a popular and highly successful use of Twitter. Physicians report patient privacy as the top concern preventing use of social media for professional reasons, and although generally social media use is safe, it is essential to understand how to protect patient confidentially. Other social media platforms with potential for professional use include Facebook (Facebook, Inc, Menlo Park, California), Instagram (Facebook, Inc), YouTube (YouTube, LLC, San Bruno, California), and Periscope (Twitter, Inc). With Twitter and other social media options, now is the time for pathologists to increase our visibility on social media and worldwide.

Analyzing health organizations' use of Twitter for promoting health literacy.

Science.gov (United States)

Park, Hyojung; Rodgers, Shelly; Stemmle, Jon

2013-01-01

This study explored health-related organizations' use of Twitter in delivering health literacy messages. A content analysis of 571 tweets from health-related organizations revealed that the organizations' tweets were often quoted or retweeted by other Twitter users. Nonprofit organizations and community groups had more tweets about health literacy than did other types of health-related organizations examined, including health business corporations, educational institutions, and government agencies. Tweets on health literacy topics focused predominantly on using simple language rather than complicated language. The results suggest that health organizations need a more strategic approach to managing positive organizational self-presentations in order to create an optimal level of exposure on social networking sites.

Self-Concealment, Social Network Sites Usage, Social Appearance Anxiety, Loneliness of High School Students: A Model Testing

Science.gov (United States)

Dogan, Ugur; Çolak, Tugba Seda

2016-01-01

This study was tested a model for explain to social networks sites (SNS) usage with structural equation modeling (SEM). Using SEM on a sample of 475 high school students (35% male, 65% female) students, model was investigated the relationship between self-concealment, social appearance anxiety, loneliness on SNS such as Twitter and Facebook usage.…

Two Studies on Twitter Networks and Tweet Content in Relation to Amyotrophic Lateral Sclerosis (ALS): Conversation, Information, and 'Diary of a Daily Life'.

Science.gov (United States)

Hemsley, Bronwyn; Palmer, Stuart

2016-01-01

To date, there is no research examining how adults with Amyotrophic Lateral Sclerosis (ALS) or Motor Neurone Disease (MND) and severe communication disability use Twitter, nor the use of Twitter in relation to ALS/MND beyond its use for fundraising and raising awareness. In this paper we (a) outline a rationale for the use of Twitter as a method of communication and information exchange for adults with ALS/MND, (b) detail multiple qualitative and quantitative methods used to analyse Twitter networks and tweet content in the our studies, and (c) present the results of two studies designed to provide insights on the use of Twitter by an adult with ALS/MND and by #ALS and #MND hashtag communities in Twitter. We will also discuss findings across the studies, implications for health service providers in Twitter, and directions for future Twitter research in relation to ALS/MND.

Health organizations providing and seeking social support: a Twitter-based content analysis.

Science.gov (United States)

Rui, Jian Raymond; Chen, Yixin; Damiano, Amanda

2013-09-01

Providing and seeking social support are important aspects of social exchange. New communication technologies, especially social network sites (SNSs), facilitate the process of support exchange. An increasing number of health organizations are using SNSs. However, how they provide and seek social support via SNSs has yet to garner academic attention. This study examined the types of social support provided and sought by health organizations on Twitter. A content analysis was conducted on 1,500 tweets sent by a random sample of 58 health organizations within 2 months. Findings indicate that providing informational and emotional support, as well as seeking instrumental support, were the main types of social support exchanged by health organizations through Twitter. This study provides a typology for studying social support exchanges by health organizations, and recommends strategies for health organizations regarding the effective use of Twitter.

Análisis cibermétrico y visual de Twitter

OpenAIRE

Zheng, Zhangxian; Alonso-Berrocal, José-Luis; G. Figuerola, Carlos

2013-01-01

This paper try to solve the necessity of collect the profile, followers and followed of a Twitter user via API and develop a crawler application use the library Python-Twitter, with the aim of make an analysis and visualization of the Twitter users network.

An Implementation of a Twitter-Supported Personal Learning Network to Individualize Teacher Professional Development

Science.gov (United States)

Deyamport, W. H., III.

2013-01-01

In this action research study, eight teachers at an elementary school were trained in the use of Twitter to support the development of a personal learning network as a strategy to address non-differentiated professional development at the school. The main research question for this study was: In what ways, if any, can the use of a…

The Imagined Audience on Social Network Sites

Directory of Open Access Journals (Sweden)

Eden Litt

2016-02-01

Full Text Available When people construct and share posts on social network sites like Facebook and Twitter, whom do they imagine as their audience? How do users describe this imagined audience? Do they have a sub-audience in mind (e.g., “friends who like reality television”? Do they share more broadly and abstractly (e.g., “the public”? Do such imaginings fluctuate each time a person posts? Using a mixed-methods approach involving a 2-month-long diary study of 119 diverse American adults and their 1,200 social network site posts, supplemented with follow-up interviews (N = 30, this study explores the imagined audience on social network sites. The findings reveal that even though users often interacted with large diverse audiences as they posted, they coped by envisioning either very broad abstract imagined audiences or more targeted specific imagined audiences composed of personal ties, professional ties, communal ties, and/or phantasmal ties. When people had target imagined audiences in mind, they were most often homogeneous and composed of people’s friends and family. Users’ imaginings typically fluctuated among these audience types as they posted even though the potential audience as per their posts’ privacy settings often did not change. The findings provide a list of audience types, as well as detailed descriptions, examples, and frequencies on which future research can build. With people’s online presence playing an important role for their reputations, these findings provide more insight into for whom people are managing their privacy and whom they have in mind as they share.

Opinion leadership in parliamentary Twitter networks: A matter of layers of interaction?

OpenAIRE

Borge Bravo, Rosa; Esteve del Valle, Marc

2017-01-01

This article seeks to test whether Twitter is contributing to the appearance of new opinion leaders or empowering already visible political leaders. The study is based on a data set spanning from January 1, 2013 to March 31, 2014 that covers all relationships (4,516), retweets (6,045) and mentions (19,507) of Catalan parliamentarians. The data sustains that having a parliamentarian position increases the probability of being an opinion leader of the following–follower and mention networks, bu...

National accessibility portal and social networking sites: how to make facebook and twitter work for you

CSIR Research Space (South Africa)

Butgereit, L

2010-05-01

Full Text Available with disabilities, copies of legislation, interesting news articles, calendar of events applicable to people with disabilities, lists of vendors of assistive devices, etc. Facebook and Twitter, on the other hand, attract millions of users. The question we asked...

Evaluating college students’ displayed alcohol references on Facebook and Twitter

Science.gov (United States)

Moreno, Megan A.; Arseniev-Koehler, Alina; Litt, Dana; Christakis, Dimitri

2018-01-01

Purpose Current trends suggest adolescents and young adults typically maintain a social media “portfolio” of several sites including Facebook and Twitter, but little is known regarding how an individual chooses to display risk behaviors across these different sites. The purpose of this study was to investigate college students’ displayed alcohol references on both Facebook and Twitter. Methods Among a larger sample of college students from two universities, we identified participants who maintained both Facebook and Twitter profiles. Data collection included evaluation of 5 months of participants’ Facebook and Twitter posts for alcohol references, number of social connections (i.e. friends or followers) and number of posts. Phone interviews assessed participants’ frequency of Facebook and Twitter use and self-reported alcohol use. Analyses included Fisher’s exact test, Wilcoxon matched pair sign test, Freidman rank-sum tests and logistic regression. Results Of 112 eligible participants, 94 (RR=84.8%) completed the study. Participants were more likely to display alcohol references on Facebook compared to Twitter (76% versus 34%, p=0.02). Participants reported more social connections on Facebook versus Twitter (average 801.2 friends versus 189.4 followers, pTwitter (94.6% versus 50%, pTwitter displayed alcohol references, but mediators differed in each model. Discussion College students were more likely to display alcohol references on Facebook compared to Twitter. Understanding these patterns and predictors may inform prevention and intervention efforts directed at particular social media sites. PMID:26995291

Diffusion of Messages from an Electronic Cigarette Brand to Potential Users through Twitter.

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Kar-Hai Chu

Full Text Available This study explores the presence and actions of an electronic cigarette (e-cigarette brand, Blu, on Twitter to observe how marketing messages are sent and diffused through the retweet (i.e., message forwarding functionality. Retweet networks enable messages to reach additional Twitter users beyond the sender's local network. We follow messages from their origin through multiple retweets to identify which messages have more reach, and the different users who are exposed.We collected three months of publicly available data from Twitter. A combination of techniques in social network analysis and content analysis were applied to determine the various networks of users who are exposed to e-cigarette messages and how the retweet network can affect which messages spread.The Blu retweet network expanded during the study period. Analysis of user profiles combined with network cluster analysis showed that messages of certain topics were only circulated within a community of e-cigarette supporters, while other topics spread further, reaching more general Twitter users who may not support or use e-cigarettes.Retweet networks can serve as proxy filters for marketing messages, as Twitter users decide which messages they will continue to diffuse among their followers. As certain e-cigarette messages extend beyond their point of origin, the audience being exposed expands beyond the e-cigarette community. Potential implications for health education campaigns include utilizing Twitter and targeting important gatekeepers or hubs that would maximize message diffusion.

A social network analysis of Twitter: Mapping the digital humanities community

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Martin Grandjean

2016-12-01

Full Text Available Defining digital humanities might be an endless debate if we stick to the discussion about the boundaries of this concept as an academic “discipline”. In an attempt to concretely identify this field and its actors, this paper shows that it is possible to analyse them through Twitter, a social media widely used by this “community of practice”. Based on a network analysis of 2,500 users identified as members of this movement, the visualisation of the “who’s following who?” graph allows us to highlight the structure of the network’s relationships, and identify users whose position is particular. Specifically, we show that linguistic groups are key factors to explain clustering within a network whose characteristics look similar to a small world.

The Use of Twitter by Radiology Journals: An Analysis of Twitter Activity and Impact Factor.

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Kelly, Brendan S; Redmond, Ciaran E; Nason, Gregory J; Healy, Gerard M; Horgan, Niall A; Heffernan, Eric J

2016-11-01

Medical journals use social media as a means to disseminate new research and interact with readers. The microblogging site Twitter is one such platform. The aim of this study was to analyze the recent use of Twitter by the leading radiology journals. The top 50 journals by Impact Factor were included. Twitter profiles associated with these journals, or their corresponding societies, were identified. Whether each journal used other social media platforms was also recorded. Each Twitter profile was analyzed over a one-year period, with data collected via Twitonomy software. Klout scores of social media influence were calculated. Results were analyzed in SPSS using Student's t test, Fisher contingency tables, and Pearson correlations to identify any association between social media interaction and Impact Factors of journals. Fourteen journals (28%) had dedicated Twitter profiles. Of the 36 journals without dedicated Twitter profiles, 25 (50%) were associated with societies that had profiles, leaving 11 (22%) journals without a presence on Twitter. The mean Impact Factor of all journals was 3.1 ± 1.41 (range, 1.7-6.9). Journals with Twitter profiles had higher Impact Factors than those without (mean, 3.37 vs 2.14; P Twitter profiles and those associated with affiliated societies (P = .47). Since joining Twitter, 7 of the 11 journals (64%) experienced increases in Impact Factor. A greater number of Twitter followers was correlated with higher journal Impact Factor (R 2  = 0.581, P = .029). The investigators assessed the prevalence and activity of the leading radiology journals on Twitter. Radiology journals with Twitter profiles have higher Impact Factors than those without profiles, and the number of followers of a journal's Twitter profile is positively associated with Impact Factor. Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Visibility of news items on Twitter and Facebook: comparative analysis of the most replicated news in Europe and the Americas

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Gabriela da Silva Zago

2013-06-01

Full Text Available This paper identifies and compares the top replicated news items on Twitter and Facebook, on news websites from Brazil, Germany, Spain, the United States and United Kingdom. The data includes 8 of the newspapers with the largest circulation in the 5 countries, totaling 40 outlets. The volume of “retweets” and “likes” was used as a metric for representing the visibility of news items. Links posted on Twitter and messages posted by newspapers on Facebook were collected for a period of two weeks during October 2012. Content analysis was carried out for the top 25 replicated messages in each social network, which uncovered significant cultural traits and editorial differences across countries, based upon the content that circulated on social networks during the period. The results confirm users’ perceptions of social networking sites, with Facebook being used largely for entertainment and recreation, and Twitter for covering political, economic, and social events.

Communication about childhood obesity on Twitter.

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Harris, Jenine K; Moreland-Russell, Sarah; Tabak, Rachel G; Ruhr, Lindsay R; Maier, Ryan C

2014-07-01

Little is known about the use of social media as a tool for health communication. We used a mixed-methods design to examine communication about childhood obesity on Twitter. NodeXL was used to collect tweets sent in June 2013 containing the hashtag #childhoodobesity. Tweets were coded for content; tweeters were classified by sector and health focus. Data were also collected on the network of follower connections among the tweeters. We used descriptive statistics and exponential random graph modeling to examine tweet content, characteristics of tweeters, and the composition and structure of the network of connections facilitating communication among tweeters. We collected 1110 tweets originating from 576 unique Twitter users. More individuals (65.6%) than organizations (32.9%) tweeted. More tweets focused on individual behavior than environment or policy. Few government and educational tweeters were in the network, but they were more likely than private individuals to be followed by others. There is an opportunity to better disseminate evidence-based information to a broad audience through Twitter by increasing the presence of credible sources in the #childhoodobesity conversation and focusing the content of tweets on scientific evidence.

Evaluating College Students' Displayed Alcohol References on Facebook and Twitter.

Science.gov (United States)

Moreno, Megan A; Arseniev-Koehler, Alina; Litt, Dana; Christakis, Dimitri

2016-05-01

Current trends suggest that adolescents and young adults typically maintain a social media "portfolio" of several sites including Facebook and Twitter, but little is known regarding how an individual chooses to display risk behaviors across these different sites. The purpose of this study was to investigate college students' displayed alcohol references on both Facebook and Twitter. Among a larger sample of college students from two universities, we identified participants who maintained both Facebook and Twitter profiles. Data collection included evaluation of 5 months of participants' Facebook and Twitter posts for alcohol references, number of social connections (i.e., friends or followers), and number of posts. Phone interviews assessed participants' frequency of Facebook and Twitter use and self-reported alcohol use. Analyses included Fisher's exact test, Wilcoxon matched pair sign test, Friedman rank-sum tests, and logistic regression. Of 112 eligible participants, 94 completed the study. Participants were more likely to display alcohol references on Facebook compared with those on Twitter (76% vs. 34%, p = .02). Participants reported more social connections on Facebook versus Twitter (average 801.2 friends vs. 189.4 followers, p Twitter (94.6% vs. 50%, p Twitter displayed alcohol references, but mediators differed in each model. College students were more likely to display alcohol references on Facebook compared with those on Twitter. Understanding these patterns and predictors may inform prevention and intervention efforts directed at particular social media sites. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Twitter Use in the Hematopoietic Cell Transplantation Community.

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Patel, Sagar S; Majhail, Navneet S

2018-02-01

Social media has revolutionized the access and exchange of information in healthcare. The microblogging platform Twitter has been used by blood and marrow transplant physicians over the last several years with increasing enthusiasm. We review the adoption of Twitter in the transplant community and its implications on clinical care, education, and research. Twitter allows instantaneous access to the latest research publications, developments at national and international meetings, networking with colleagues, participation in advocacy, and promoting available clinical trials. Additionally, Twitter serves as a gateway for resources dedicated to education and support for patients undergoing transplantation. We demonstrate the utilization and various applications in using Twitter among hematopoietic cell transplant healthcare professionals, patients, and other affiliated stakeholders. Professionalism concerns with clinician use of such social media platforms, however, also exist. Overall, Twitter has enhanced and increased the opportunities for engagement in the transplant community.

Using Social Networking Sites for Communicable Disease Control: Innovative Contact Tracing or Breach of Confidentiality?

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Mandeville, Kate L; Harris, Matthew; Thomas, H Lucy; Chow, Yimmy; Seng, Claude

2014-04-01

Social media applications such as Twitter, YouTube and Facebook have attained huge popularity, with more than three billion people and organizations predicted to have a social networking account by 2015. Social media offers a rapid avenue of communication with the public and has potential benefits for communicable disease control and surveillance. However, its application in everyday public health practice raises a number of important issues around confidentiality and autonomy. We report here a case from local level health protection where the friend of an individual with meningococcal septicaemia used a social networking site to notify potential contacts.

Twitter, Millennials, and Nursing Education Research.

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Stephens, Teresa M; Gunther, Mary E

2016-01-01

This article reports the use of Twitter as an intervention delivery method in a multisite experimental nursing research study. A form of social networking, Twitter is considered a useful means of communication, particularly with millennials. This method was chosen based on current literature exploring the characteristics of millennial students. Ahern's Model of Adolescent Resilience served as the theoretical framework. Participants were 70 junior-level baccalaureate nursing students, ages 19-23, at two state-supported universities. Twitter was found to be a convenient, cost-effective, and enjoyable means of intervention delivery for the researcher. Participants in the experimental and control groups expressed positive feelings about the use of Twitter. The findings contribute to future efforts to use social media in nursing research and education to increase faculty-student engagement, promote critical reflection, provide social support, reinforce course content, and increase the sense of community.

Social Networking Sites (SNSs- Shifting Paradigm of English Language Usage

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Hetal K. Kachhia

2014-06-01

Full Text Available English is the globally accepted language in various nations and professions in different varieties, but the English that has acquired a wider spectrum than all these Englishes is the English used in Social Networking Sites which has changed the scenario of English language usage due to the ease in its accessibility and the kind of flexibility of language usage. The English used in Social Networking Sites like Facebook and Twitter has changed the linguistic behaviour of the people by producing a number of acronyms like BFF, FB etc, creating new verb forms like ‘to tweet’ or nouns like ‘tweeple’ or producing many compound nouns such as ‘netiquette’, changing the meaning of traditional verbs and nouns by introducing new meanings to them, e.g. the word ‘friend’ is used to refer “someone to an online list of acquaintances”, and by making use of prefixes like ‘un’ for the purpose of conveying the meaning of negation as in ‘unlike a comment/update’ by ignoring its original prefix ‘dis’ for referring the antonym of ‘like’. By emphasizing on the aim of communication, grammar and vocabulary are put on the peripheral value in Social Networking Sites. Therefore, the focal point of this paper is to study the changes in the linguistic behaviour of the people caused by the SNSs.

Twitter, Facebook, and Ten Red Balloons: Social Network Problem Solving and Homeland Security

OpenAIRE

Ford, Christopher M.

2011-01-01

This article appeared in Homeland Security Affairs (February 2011), v.7 no.1 This essay, the winner of the Center for Homeland Defense and Security (CHDS) Essay Contest in 2010, looks at how homeland security could benefit from crowd-sourced applications accessed through social networking tools such as Twitter and Facebook. Christopher M. Ford looks at the apparent efficacy of two such endeavors: the Defense Advanced Research Projects Agency'۪s (DARPA) competition to find ten 8-foot balloo...

Anger in Academic Twitter: Sharing, Caring, and Getting Mad Online

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Karen Gregory

2018-01-01

Full Text Available This article examines two different cases or “events” in Twitter to understand the role that negative emotions play in online discussions of academic labor. As academic labor conditions deteriorate and academics take to online spaces, they do so to critique, connect, and organize. We suggest that negative emotions may play a productive role in raising awareness of labor issues, as well as serving as a site for organizing across academic hierarchies and beyond the university. Additionally, negative emotions may fuel the production of new networks, personal, and professional connections. However, as we show, anger online can also provoke substantive repercussions, both personally and institutionally. We suggest that paying attention to the role that negative emotions play on Twitter can help academics gain a better sense of how to use their digital labor for collective action.

The Use of Social Network Sites in the Workplace: a Case Study in Brazilian Companies

OpenAIRE

Marcos Hideyuki Yokoyama; Tomoki Sekiguchi

2014-01-01

People are increasingly using Social Network Sites (SNS) through corporate platforms or open websites such as Twitter, LinkedIn and Facebook. As a recent phenomenon, the potential benefits and risks of such tools are still not properly addressed in organizations. The purpose of this paper is to analyze how Brazilian companies are using this tool to achieve their corporate strategic objectives. We conducted a qualitative case study and proposed a framework that classified the companies into th...

Social networks as a tool for science communication and public engagement: focus on Twitter.

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López-Goñi, Ignacio; Sánchez-Angulo, Manuel

2018-02-01

Social networks have been used to teach and engage people about the importance of science. The integration of social networks in the daily routines of faculties and scientists is strongly recommended to increase their personal brand, improve their skills, enhance their visibility, share and communicate science to society, promote scientific culture, and even as a tool for teaching and learning. Here we review the use of Twitter in science and comment on our previous experience of using this social network as a platform for a Massive Online Open Course (MOOC) in Spain and Latin America. We propose to extend this strategy to a pan-European Microbiology MOOC in the near future. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

The Twitter-thing (exhibition)

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Birkbak, Andreas; Bornakke, Tobias; Papazu, Irina Maria Clara Hansen

of multiple and constantly transforming issue-oriented publics? What kinds of issues come to the fore, how long does this last, and who associate themselves with them? The aim of the Twitter-thing is to trace the cuts issues make in a parliament. Each time a parliamentarian use a hashtag in a tweet, a link...... they are not necessarily aware of themselves as publics. At the same time, it is possible to self-select membership of these publics by using a specific hashtag. This raises the question of what feedback loops are at work between visualizations and those being visualized. How might a tool like the Twitter-thing change...... (parliamentary) politics? More generally, the tool prompts us to think about the fate of issues in institutionalized democracy. The Twitter-thing invites users to explore these questions by making the network available in an interactive format that makes it possible to zoom, search for particular politicians...

Measuring Health Information Dissemination and Identifying Target Interest Communities on Twitter: Methods Development and Case Study of the @SafetyMD Network.

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Kandadai, Venk; Yang, Haodong; Jiang, Ling; Yang, Christopher C; Fleisher, Linda; Winston, Flaura Koplin

2016-05-05

Little is known about the ability of individual stakeholder groups to achieve health information dissemination goals through Twitter. This study aimed to develop and apply methods for the systematic evaluation and optimization of health information dissemination by stakeholders through Twitter. Tweet content from 1790 followers of @SafetyMD (July-November 2012) was examined. User emphasis, a new indicator of Twitter information dissemination, was defined and applied to retweets across two levels of retweeters originating from @SafetyMD. User interest clusters were identified based on principal component analysis (PCA) and hierarchical cluster analysis (HCA) of a random sample of 170 followers. User emphasis of keywords remained across levels but decreased by 9.5 percentage points. PCA and HCA identified 12 statistically unique clusters of followers within the @SafetyMD Twitter network. This study is one of the first to develop methods for use by stakeholders to evaluate and optimize their use of Twitter to disseminate health information. Our new methods provide preliminary evidence that individual stakeholders can evaluate the effectiveness of health information dissemination and create content-specific clusters for more specific targeted messaging.

Twittering About Research: A Case Study of the World's First Twitter Poster Competition.

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Randviir, Edward P; Illingworth, Samuel M; Baker, Matthew J; Cude, Matthew; Banks, Craig E

2015-01-01

The Royal Society of Chemistry held, to our knowledge, the world's first Twitter conference at 9am on February 5 (th), 2015. The conference was a Twitter-only conference, allowing researchers to upload academic posters as tweets, replacing a physical meeting. This paper reports the details of the event and discusses the outcomes, such as the potential for the use of social media to enhance scientific communication at conferences. In particular, the present work argues that social media outlets such as Twitter broaden audiences, speed up communication, and force clearer and more concise descriptions of a researcher's work. The benefits of poster presentations are also discussed in terms of potential knowledge exchange and networking. This paper serves as a proof-of-concept approach for improving both the public opinion of the poster, and the enhancement of the poster through an innovative online format that some may feel more comfortable with, compared to face-to-face communication.

Twitter Usage of Universities in Turkey

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Yolcu, Ozgu

2013-01-01

Universities are among the users of the most popular social media networks. Usage of social media by especially students and many other people and institutions, which constitutes the target audience for universities, encourages the universities to effectively use this environment. Twitter is among these social media networks which facilitate the…

Political campaigning 2.0: The influence of online news and social networking sites on attitudes and behavior

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Montathar Faraon

2014-11-01

Full Text Available This study aimed to examine differences in influence between online news (e.g., New York Times and social networking sites (e.g., Facebook and Twitter on attitudes in political campaigns. In a web-based experiment, campaign, polls and election between two fictitious candidates were simulated. Participants’ explicit and implicit attitudes as well as voting behavior were assessed using self-report items and the Implicit Association Test (IAT. The results reveal that information emanating from online news had a significant influence on explicit and implicit attitudes while that of social networking sites did not. Overall, negative items had a stronger impact than positive ones, more so in online news compared to social networking sites. Negative information from either type of media was more likely to change participants’ explicit attitudes in a negative direction and as a consequence also change their vote. Practical implications of the findings and limitations of the study are discussed.

The effects of advertising in Twitter on the regular 20-30 year old users : Advertising in a social networking medium

OpenAIRE

Terekhina, Larisa

2010-01-01

The purpose of this thesis work was to investigate and analyze in what way online adver-tising in Twitter affects its regular users nowadays. More specifically it focused on the young (20-30 years old) frequent Internet users of the social networking medium. The theoretical part of the study introduced Twitter and methods of advertising in it. The em-pirical part of the thesis was conducted by using a quantitative research method. The data was gathered from discussions of a focus and a contro...

OMG Earthquake! Can Twitter improve earthquake response?

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Earle, P. S.; Guy, M.; Ostrum, C.; Horvath, S.; Buckmaster, R. A.

2009-12-01

The U.S. Geological Survey (USGS) is investigating how the social networking site Twitter, a popular service for sending and receiving short, public, text messages, can augment its earthquake response products and the delivery of hazard information. The goal is to gather near real-time, earthquake-related messages (tweets) and provide geo-located earthquake detections and rough maps of the corresponding felt areas. Twitter and other social Internet technologies are providing the general public with anecdotal earthquake hazard information before scientific information has been published from authoritative sources. People local to an event often publish information within seconds via these technologies. In contrast, depending on the location of the earthquake, scientific alerts take between 2 to 20 minutes. Examining the tweets following the March 30, 2009, M4.3 Morgan Hill earthquake shows it is possible (in some cases) to rapidly detect and map the felt area of an earthquake using Twitter responses. Within a minute of the earthquake, the frequency of “earthquake” tweets rose above the background level of less than 1 per hour to about 150 per minute. Using the tweets submitted in the first minute, a rough map of the felt area can be obtained by plotting the tweet locations. Mapping the tweets from the first six minutes shows observations extending from Monterey to Sacramento, similar to the perceived shaking region mapped by the USGS “Did You Feel It” system. The tweets submitted after the earthquake also provided (very) short first-impression narratives from people who experienced the shaking. Accurately assessing the potential and robustness of a Twitter-based system is difficult because only tweets spanning the previous seven days can be searched, making a historical study impossible. We have, however, been archiving tweets for several months, and it is clear that significant limitations do exist. The main drawback is the lack of quantitative information

Protests against #delhigangrape on Twitter: Analyzing India’s Arab Spring

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Saifuddin Ahmed

2013-11-01

Full Text Available This study offers a comprehensive approach towards analyzing and explaining the role of Twitter in shaping and facilitating social movements especially during protests. It presents automatic and manual analyses of the tweet themes, usage characteristics and major Twitter users during a public outcry against a gangrape incident in Delhi, the capital city of India. Our results identified Twitter as an important channel for the diffusion of ideas and news among a vast set of adopters in defiance of geographical boundaries. Results of the content analyses highlight the prominent use of social media resources in disseminating information on Twitter, and the remarkable role of Twitter users as citizen journalists during the days of the protest. Results of the social network analysis suggest that major role players on Twitter were the offline protest leaders.

The Usage of Social Networking Sites by Medical Students for Educational Purposes: A Meta-analysis and Systematic Review

OpenAIRE

Guraya, Salman Y.

2016-01-01

Background: Online social networking sites (SNSs) (e.g., Facebook, MySpace, Flickr, Twitter and YouTube) have emerged as rapidly growing mechanisms to exchange personal and professional information among university students. This research aims to determine the medical students′ extent of usage of SNSs for educational purposes. Materials and Methods: Educational Resources Information Centre (ERIC), Cumulative Index of Nursing and Allied Health Literature (CINAHL), the Cochrane library, and Exc...

Assessing mobile health applications with twitter analytics.

Science.gov (United States)

Pai, Rajesh R; Alathur, Sreejith

2018-05-01

Advancement in the field of information technology and rise in the use of Internet has changed the lives of people by enabling various services online. In recent times, healthcare sector which faces its service delivery challenges started promoting and using mobile health applications with the intention of cutting down the cost making it accessible and affordable to the people. The objective of the study is to perform sentiment analysis using the Twitter data which measures the perception and use of various mobile health applications among the citizens. The methodology followed in this research is qualitative with the data extracted from a social networking site "Twitter" through a tool RStudio. This tool with the help of Twitter Application Programming Interface requested one thousand tweets each for four different phrases of mobile health applications (apps) such as "fitness app", "diabetes app", "meditation app", and "cancer app". Depending on the tweets, sentiment analysis was carried out, and its polarity and emotions were measured. Except for cancer app there exists a positive polarity towards the fitness, diabetes, and meditation apps among the users. Following a system thinking approach for our results, this paper also explains the causal relationships between the accessibility and acceptability of mobile health applications which helps the healthcare facility and the application developers in understanding and analyzing the dynamics involved the adopting a new system or modifying an existing one. Copyright © 2018 Elsevier B.V. All rights reserved.

Twitter Fiction: A New Creative Literary Landscape

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Laila Al Sharaqi

2016-08-01

Full Text Available Twitter, synonymous with social networking, has become a successful social platform for the exchange of ideas, news, and information. It has also emerged as an experimental platform through which users explore creative realms of poetic and narrative content, albeit in 140 characters. The real-time tweets are fundamentally unique and increasingly sophisticated. The attention deficit generation of the fast-paced contemporary world has little time on its hands for extended discourse. Brief stories have been told throughout human history, however, the popularity of short stories skyrocketed with the advent of digital story telling. Twitter has now become a frontier medium that allows a unique mode of digital storytelling that facilitates creative literary experimentation. Twitter offers a unique freedom to writers insofar as a tweet can be an entire bite-sized story or even a snapshot of a story that requires readers’ active imagination to complete. Twitter fiction signifies stylistic word economy, compactness, symbolic structure, and implied narrative. Fragmentariness of the story is a marker of Twitter fiction. The proponents of Twitter fiction enjoy the originality, freedom, and diversity of perspectives offered by the Twitter fiction. Critics, however, argue that the mandated 140 character limitation stunts story development and strangulates creativity. This paper examines Twitter fiction and proposes that limited characters stories are the evolutionary answer to the reduced attention span of the tech-savvy generation. Keywords: twitterature, fiction, brevity, literary art

The Use of Twitter for Professional Growth and Development

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Gerstein, Jackie

2011-01-01

Twitter, the micro blogging tool, has seen unprecedented growth in the past year and is expected to continue into the future. Twitter's power, engagement, and popularity lie in its endless networking opportunities. Its potential as a venue for professional growth and development needs to be explored, discussed, and ultimately used as such. A brief…

Twitter Language Use Reflects Psychological Differences between Democrats and Republicans.

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Sylwester, Karolina; Purver, Matthew

2015-01-01

Previous research has shown that political leanings correlate with various psychological factors. While surveys and experiments provide a rich source of information for political psychology, data from social networks can offer more naturalistic and robust material for analysis. This research investigates psychological differences between individuals of different political orientations on a social networking platform, Twitter. Based on previous findings, we hypothesized that the language used by liberals emphasizes their perception of uniqueness, contains more swear words, more anxiety-related words and more feeling-related words than conservatives' language. Conversely, we predicted that the language of conservatives emphasizes group membership and contains more references to achievement and religion than liberals' language. We analysed Twitter timelines of 5,373 followers of three Twitter accounts of the American Democratic and 5,386 followers of three accounts of the Republican parties' Congressional Organizations. The results support most of the predictions and previous findings, confirming that Twitter behaviour offers valid insights to offline behaviour.

Twitter Language Use Reflects Psychological Differences between Democrats and Republicans.

Directory of Open Access Journals (Sweden)

Karolina Sylwester

Full Text Available Previous research has shown that political leanings correlate with various psychological factors. While surveys and experiments provide a rich source of information for political psychology, data from social networks can offer more naturalistic and robust material for analysis. This research investigates psychological differences between individuals of different political orientations on a social networking platform, Twitter. Based on previous findings, we hypothesized that the language used by liberals emphasizes their perception of uniqueness, contains more swear words, more anxiety-related words and more feeling-related words than conservatives' language. Conversely, we predicted that the language of conservatives emphasizes group membership and contains more references to achievement and religion than liberals' language. We analysed Twitter timelines of 5,373 followers of three Twitter accounts of the American Democratic and 5,386 followers of three accounts of the Republican parties' Congressional Organizations. The results support most of the predictions and previous findings, confirming that Twitter behaviour offers valid insights to offline behaviour.

RECRUITMENT PROCESS IN MNC'S THROUGH SOCIAL MEDIA SITES - A STUDY

OpenAIRE

Dr. B. L. Sairam Subramaniam; B. Naveen Kumar

2017-01-01

Many organizations are carrying out recruitment process by using social media networking sites. Social networking sites are used to facilitate and improve process of recruitment method in HR management. Social networking sites address the needs of employers and job-seekers via internetworking on electronic platform likes face book, twitter, LinkedIn, naukri.com, and monster.com which increase the speed of employment, reducing the cost of recruitment, huge availability of jobseekers and improv...

Interest communities and flow roles in directed networks: the Twitter network of the UK riots.

Science.gov (United States)

Beguerisse-Díaz, Mariano; Garduño-Hernández, Guillermo; Vangelov, Borislav; Yaliraki, Sophia N; Barahona, Mauricio

2014-12-06

Directionality is a crucial ingredient in many complex networks in which information, energy or influence are transmitted. In such directed networks, analysing flows (and not only the strength of connections) is crucial to reveal important features of the network that might go undetected if the orientation of connections is ignored. We showcase here a flow-based approach for community detection through the study of the network of the most influential Twitter users during the 2011 riots in England. Firstly, we use directed Markov Stability to extract descriptions of the network at different levels of coarseness in terms of interest communities, i.e. groups of nodes within which flows of information are contained and reinforced. Such interest communities reveal user groupings according to location, profession, employer and topic. The study of flows also allows us to generate an interest distance, which affords a personalized view of the attention in the network as viewed from the vantage point of any given user. Secondly, we analyse the profiles of incoming and outgoing long-range flows with a combined approach of role-based similarity and the novel relaxed minimum spanning tree algorithm to reveal that the users in the network can be classified into five roles. These flow roles go beyond the standard leader/follower dichotomy and differ from classifications based on regular/structural equivalence. We then show that the interest communities fall into distinct informational organigrams characterized by a different mix of user roles reflecting the quality of dialogue within them. Our generic framework can be used to provide insight into how flows are generated, distributed, preserved and consumed in directed networks.

Twitter for Good Change the World One Tweet at a Time

CERN Document Server

Diaz-Ortiz, Claire

2011-01-01

Silver Medal Winner, Social Networking, 2012 Axiom Business Book AwardsSilver Medal Winner, Business and Leadership, 2012 Nautilus Book Awards The official word from Twitter on how to harness the power of the platform for any cause. As recent events in Japan, the Middle East, and Haiti have shown, Twitter offers a unique platform to connect individuals and influence change in ways that were unthinkable only a short time ago. In Twitter for Good, Claire Diaz Ortiz, Twitter's head of corporate social innovation and philanthropy, shares the same strategies she offers to organizations launching

The many modes of Twitter: developing and maintaining a professional identity on Twitter

Science.gov (United States)

Rowan, C. J.

2012-12-01

Describing the potential benefits of using Twitter (or similar social networks such as Google+) is complicated by the fact that it is a tool that can be used in a variety of different ways. Usage of Twitter is a mixture of consumption of links and news from other users and organisations, sharing information (e.g. recently published papers) yourself, and interaction with other users; the precise mixture will vary depending on what a person tweets and who they chose to follow, making every user's experience somewhat unique. In addition to the more commonly cited benefits in the area of scientific outreach, all of these usage modes have potential professional benefits for a scientist, allowing them to keep up to date with the latest developments in their field, and to establish and maintain connections with other scientists. Any or all of these are possible goals for your social media presence and will shape how you use services like Twitter. For a passive real-time news service, you just need to follow the right people and organisations; building an online community requires seeking out like-minded people and regularly interacting with them; true outreach requires building an audience through a long-term commitment to adding value through sharing information and participating in discussions. With respect to your professional identity, the public and relatively informal nature of social networks means that it is important to consider, and set defined limits, on how much of yourself and your opinions you are comfortable sharing. On Twitter, retweets allow something you say to reach many people who do not even follow you, and if you use your real name then your profile may be easily findable on a search engine. On most social networks, it is impossible to totally control your experience as it depends largely on how other users interact with you. Whilst it is useful to consider what you want to get out of your use of social media when you begin, and develop a strategy

Twitter earthquake detection: earthquake monitoring in a social world

Directory of Open Access Journals (Sweden)

Daniel C. Bowden

2011-06-01

Full Text Available The U.S. Geological Survey (USGS is investigating how the social networking site Twitter, a popular service for sending and receiving short, public text messages, can augment USGS earthquake response products and the delivery of hazard information. Rapid detection and qualitative assessment of shaking events are possible because people begin sending public Twitter messages (tweets with in tens of seconds after feeling shaking. Here we present and evaluate an earthquake detection procedure that relies solely on Twitter data. A tweet-frequency time series constructed from tweets containing the word “earthquake” clearly shows large peaks correlated with the origin times of widely felt events. To identify possible earthquakes, we use a short-term-average, long-term-average algorithm. When tuned to a moderate sensitivity, the detector finds 48 globally-distributed earthquakes with only two false triggers in five months of data. The number of detections is small compared to the 5,175 earthquakes in the USGS global earthquake catalog for the same five-month time period, and no accurate location or magnitude can be assigned based on tweet data alone. However, Twitter earthquake detections are not without merit. The detections are generally caused by widely felt events that are of more immediate interest than those with no human impact. The detections are also fast; about 75% occur within two minutes of the origin time. This is considerably faster than seismographic detections in poorly instrumented regions of the world. The tweets triggering the detections also provided very short first-impression narratives from people who experienced the shaking.

Twitter earthquake detection: Earthquake monitoring in a social world

Science.gov (United States)

Earle, Paul S.; Bowden, Daniel C.; Guy, Michelle R.

2011-01-01

The U.S. Geological Survey (USGS) is investigating how the social networking site Twitter, a popular service for sending and receiving short, public text messages, can augment USGS earthquake response products and the delivery of hazard information. Rapid detection and qualitative assessment of shaking events are possible because people begin sending public Twitter messages (tweets) with in tens of seconds after feeling shaking. Here we present and evaluate an earthquake detection procedure that relies solely on Twitter data. A tweet-frequency time series constructed from tweets containing the word "earthquake" clearly shows large peaks correlated with the origin times of widely felt events. To identify possible earthquakes, we use a short-term-average, long-term-average algorithm. When tuned to a moderate sensitivity, the detector finds 48 globally-distributed earthquakes with only two false triggers in five months of data. The number of detections is small compared to the 5,175 earthquakes in the USGS global earthquake catalog for the same five-month time period, and no accurate location or magnitude can be assigned based on tweet data alone. However, Twitter earthquake detections are not without merit. The detections are generally caused by widely felt events that are of more immediate interest than those with no human impact. The detections are also fast; about 75% occur within two minutes of the origin time. This is considerably faster than seismographic detections in poorly instrumented regions of the world. The tweets triggering the detections also provided very short first-impression narratives from people who experienced the shaking.

A Digital Ethnography of Medical Students who Use Twitter for Professional Development.

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Chretien, Katherine C; Tuck, Matthew G; Simon, Michael; Singh, Lisa O; Kind, Terry

2015-11-01

While researchers have studied negative professional consequences of medical trainee social media use, little is known about how medical students informally use social media for education and career development. This knowledge may help future and current physicians succeed in the digital age. We aimed to explore how and why medical students use Twitter for professional development. This was a digital ethnography. Medical student "superusers" of Twitter participated in the study The postings ("tweets") of 31 medical student superusers were observed for 8 months (May-December 2013), and structured field notes recorded. Through purposive sampling, individual key informant interviews were conducted to explore Twitter use and values until thematic saturation was reached (ten students). Three faculty key informant interviews were also conducted. Ego network and subnetwork analysis of student key informants was performed. Qualitative analysis included inductive coding of field notes and interviews, triangulation of data, and analytic memos in an iterative process. Twitter served as a professional tool that supplemented the traditional medical school experience. Superusers approached their use of Twitter with purpose and were mindful of online professionalism as well as of being good Twitter citizens. Their tweets reflected a mix of personal and professional content. Student key informants had a high number of followers. The subnetwork of key informants was well-connected, showing evidence of a social network versus information network. Twitter provided value in two major domains: access and voice. Students gained access to information, to experts, to a variety of perspectives including patient and public perspectives, and to communities of support. They also gained a platform for advocacy, control of their digital footprint, and a sense of equalization within the medical hierarchy. Twitter can serve as a professional tool that supplements traditional education. Students

Covering #SAE: A Mobile Reporting Class's Changing Patterns of Interaction on Twitter over Time

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Jones, Julie

2015-01-01

This study examined the social network that emerged on Twitter surrounding a mobile reporting class as they covered a national breaking news event. The work introduces pedagogical strategies that enhance students' learning opportunities. Through NodeXL and social network cluster analysis, six groups emerged from the Twitter interactions tied to…

Twitter-Delivered Behavioral Weight-Loss Interventions: A Pilot Series.

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Pagoto, Sherry L; Waring, Molly E; Schneider, Kristin L; Oleski, Jessica L; Olendzki, Effie; Hayes, Rashelle B; Appelhans, Bradley M; Whited, Matthew C; Busch, Andrew M; Lemon, Stephenie C

2015-10-23

Lifestyle interventions are efficacious at reducing risk for diabetes and cardiovascular disease but have not had a significant public health impact given high cost and patient and provider burden. Online social networks may reduce the burden of lifestyle interventions to the extent that they displace in-person visits and may enhance opportunities for social support for weight loss. We conducted an iterative series of pilot studies to evaluate the feasibility and acceptability of using online social networks to deliver a lifestyle intervention. In Study 1 (n=10), obese participants with depression received lifestyle counseling via 12 weekly group visits and a private group formed using the online social network, Twitter. Mean weight loss was 2.3 pounds (SD 7.7; range -19.2 to 8.2) or 1.2% (SD 3.6) of baseline weight. A total of 67% (6/9) of participants completing exit interviews found the support of the Twitter group at least somewhat useful. In Study 2 (n=11), participants were not depressed and were required to be regular users of social media. Participants lost, on average, 5.6 pounds (SD 6.3; range -15 to 0) or 3.0% (SD 3.4) of baseline weight, and 100% (9/9) completing exit interviews found the support of the Twitter group at least somewhat useful. To explore the feasibility of eliminating in-person visits, in Study 3 (n=12), we delivered a 12-week lifestyle intervention almost entirely via Twitter by limiting the number of group visits to one, while using the same inclusion criteria as that used in Study 2. Participants lost, on average, 5.4 pounds (SD 6.4; range -14.2 to 3.9) or 3.0% (SD 3.1) of baseline weight, and 90% (9/10) completing exit interviews found the support of the Twitter group at least somewhat useful. Findings revealed that a private Twitter weight-loss group was both feasible and acceptable for many patients, particularly among regular users of social media. Future research should evaluate the efficacy and cost-effectiveness of online

Utilizing Twitter for Concept Learning

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Buzzelli, Armand; Holdan, E. Gregory; Rota, Daniel; McCarthy, John

2016-01-01

Despite the perception that face-to-face classrooms provide speaking opportunities, studies by Fassinger (1995), Nunn (1996), and Weimer (2013) have conveyed that there is limited interaction in a traditional college lecture setting. Social media networks such as Twitter provide an opportunity for instructors to utilize popular mobile technology…

Comparing detection and disclosure of traffic incidents in social networks: an intelligent approach based on Twitter vs. Waze

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Sebastián Vallejos

2018-03-01

Full Text Available Nowadays, social networks have become  in a  communication  medium widely  used to disseminate any type  of  information. In  particular,  the  shared  information  in  social  networks  usually  includes  a  considerable number of traffic incidents reports of specific cities. In light of this, specialized social networks have emerged for detecting and disseminating traffic incidents, differentiating from generic social networks in which a wide variety of  topics  are  communicated.  In this  context,  Twitter  is  a  case  in  point  of  a  generic  social  network  in  which  its users often share information about traffic incidents, while Waze is a social network specialized in traffic. In this paper we present a comparative study between Waze and an intelligent approach that detects traffic incidents by analyzing publications shared in Twitter. The comparative study was carried out considering Ciudad Autónoma de Buenos  Aires  (CABA,  Argentina,  as  the  region  of  interest.  The results of this work suggest that both social networks should be considered as complementary sources of information. This conclusion is based on the fact that the proportion of mutual detections, i.e. traffic incidents detected by both approaches, was considerably low since it did not exceed 6% of the cases. Moreover, the results do not show that any of the approaches tend to anticipate in time to the other one in the detection of traffic incidents.

Identity Use and Misuse of Public Persona on Twitter

OpenAIRE

Köse, Dicle Berfin; Veijalainen, Jari; Semenov, Alexander

2016-01-01

Social media sites have appeared during the last 10 years and their use has exploded all over the world. Twitter is a microblogging service that has currently 320 million user profiles and over 100 million daily active users. Many celebrities and leading politicians have a verified profile on Twitter, including Justin Bieber, president Obama, and the Pope. In this paper we investigate the '‘hundreds of Putins and Obamas phenomenon’ on Twitter. We collected two data sets in 2015 co...

Using Twitter to access the human right of communication for people who use Augmentative and Alternative Communication (AAC).

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Hemsley, Bronwyn; Palmer, Stuart; Dann, Stephen; Balandin, Susan

2018-02-01

Articles 19, 26 and 27 of the Universal Declaration of Human Rights and Articles 4, 9 and 21 of the Convention on the Rights of Persons with Disabilities promote the human rights of communication, education, use of technology and access to information. Social media is an important form of online communication, and Twitter increases users' visibility, influence and reach online. The aim of this sociotechnical research was to determine the impact of teaching three people who use Augmentative and Alternative Communication (AAC) to use Twitter. Three participants were trained in ways of using Twitter strategically. Data collected from participants' Twitter profiles were examined to determine the impact of training on Twitter follower count, frequency of tweeting, tweet content and the development of social networks. Data were also examined using (1) KH Coder software analysis and visualisation of co-occurring networks in the text data, based on word frequencies; and (2) Gephi software analysis to show the Twitter network for each participant. Two participants showed an improvement in Twitter skills and strategies. Twitter can be used to improve social connectedness of people who use AAC, and should not be overlooked in relation to communication rights.

Agenda trending: reciprocity and the predictive capacity of social networking sites in intermedia agenda setting across topics over time

OpenAIRE

Groshek, Jacob; Groshek, Megan Clough

2013-01-01

In the contemporary converged media environment, agenda setting is being transformed by the dramatic growth of audiences that are simultaneously media users and producers. The study reported here addresses related gaps in the literature by first comparing the topical agendas of two leading traditional media outlets (New York Times and CNN) with the most frequently shared stories and trending topics on two widely popular Social Networking Sites (Facebook and Twitter). Time-series analyses of t...

Assessment of provider attitudes toward #naloxone on Twitter.

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Haug, Nancy A; Bielenberg, Jennifer; Linder, Steven H; Lembke, Anna

2016-01-01

As opioid overdose rates continue to pose a major public health crisis, the need for naloxone treatment by emergency first responders is critical. Little is known about the views of those who administer naloxone. The current study examines attitudes of health professionals on the social media platform Twitter to better understand their perceptions of opioid users, the role of naloxone, and potential training needs. Public comments on Twitter regarding naloxone were collected for a period of 3 consecutive months. The occupations of individuals who posted tweets were identified through Twitter profiles or hashtags. Categories of emergency service first responders and medical personnel were created. Qualitative analysis using a grounded theory approach was used to produce thematic content. The relationships between occupation and each theme were analyzed using Pearson chi-square statistics and post hoc analyses. A total of 368 individuals posted 467 naloxone-related tweets. Occupations consisted of professional first responders such as emergency medical technicians (EMTs), firefighters, and paramedics (n = 122); law enforcement officers (n = 70); nurses (n = 62); physicians (n = 48); other health professionals including pharmacists, pharmacy technicians, counselors, and social workers (n = 31); naloxone-trained individuals (n = 12); and students (n = 23). Primary themes included burnout, education and training, information seeking, news updates, optimism, policy and economics, stigma, and treatment. The highest levels of burnout, fatigue, and stigma regarding naloxone and opioid overdose were among nurses, EMTs, other health care providers, and physicians. In contrast, individuals who self-identified as "naloxone-trained" had the highest optimism and the lowest amount of burnout and stigma. Provider training and refinement of naloxone administration procedures are needed to improve treatment outcomes and reduce provider stigma. Social networking sites such as Twitter

Twittering in the OECD’s “Participative Web”: Microblogging and New Media Policy

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Tamara Shepherd

2009-01-01

Full Text Available The recent popularity of microblogging site Twitter raises regulatory concerns that outstrip the purview of emerging new media policy, such as the recommendations of the Organisation for Economic Cooperation and Development (OECD. The OECD’s 2007 report, Participative Web and User-Created Content: Web 2.0, Wikis and Social Networking, frames user-generated content as key to the development of public discourse. Yet the report tends to ultimately conceive of user creations in terms of their contributions to the production of market-based value. Sites like Twitter both challenge and uphold such a reading, which becomes apparent upon examining the ways that policy adheres to certain popular myths around the Internet and digital technology. These myths—including this paper’s main concern, the myth of the “End of Geography”—work in the service of policy recommendations that reflect neoliberal, capitalist value systems. As such, new developments in new media regulation need to integrate critical perspectives on techno-myths in order to take a more nuanced approach to the structural inequalities that pervade online culture.

Myths on Bi-direction Communication of Web 2.0 Based Social Networks: Is Social Network Truly Interactive?

Science.gov (United States)

2011-03-10

more and more social interactions are happening on the on-line. Especially recent uptake of the social network sites (SNSs), such as Facebook (http...Smart phones • Live updates within social networks • Facebook & Twitters Solution: WebMon for Risk Management Need for New WebMon for Social Networks ...Title: Myths on bi-direction communication of Web 2.0 based social networks : Is social network truly interactive

Facebook, Twitter, Instagram, Pinterest – nowe perspektywy badawcze

OpenAIRE

Maria Czarkowska; Anna Gumkowska

2017-01-01

Facebook, Twitter, Instagram, Pinterest – new research perspectivesThe goal of this paper is to present the vast array of content that is emerging within social media platforms: Facebook, Twitter, Instagram and Pinterest and analyze the ways in which they can be classified. This is a review of the available interdisciplinary methods and factors that should be taken into consideration when researching the genelogy of the texts that arise in the network. The Internet has changed the face of soc...

Twitter Seismology: Earthquake Monitoring and Response in a Social World

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Bowden, D. C.; Earle, P. S.; Guy, M.; Smoczyk, G.

2011-12-01

The U.S. Geological Survey (USGS) is investigating how the social networking site Twitter, a popular service for sending and receiving short, public, text messages, can augment USGS earthquake response products and the delivery of hazard information. The potential uses of Twitter for earthquake response include broadcasting earthquake alerts, rapidly detecting widely felt events, qualitatively assessing earthquake damage effects, communicating with the public, and participating in post-event collaboration. Several seismic networks and agencies are currently distributing Twitter earthquake alerts including the European-Mediterranean Seismological Centre (@LastQuake), Natural Resources Canada (@CANADAquakes), and the Indonesian meteorological agency (@infogempabmg); the USGS will soon distribute alerts via the @USGSted and @USGSbigquakes Twitter accounts. Beyond broadcasting alerts, the USGS is investigating how to use tweets that originate near the epicenter to detect and characterize shaking events. This is possible because people begin tweeting immediately after feeling an earthquake, and their short narratives and exclamations are available for analysis within 10's of seconds of the origin time. Using five months of tweets that contain the word "earthquake" and its equivalent in other languages, we generate a tweet-frequency time series. The time series clearly shows large peaks correlated with the origin times of widely felt events. To identify possible earthquakes, we use a simple Short-Term-Average / Long-Term-Average algorithm similar to that commonly used to detect seismic phases. As with most auto-detection algorithms, the parameters can be tuned to catch more or less events at the cost of more or less false triggers. When tuned to a moderate sensitivity, the detector found 48 globally-distributed, confirmed seismic events with only 2 false triggers. A space-shuttle landing and "The Great California ShakeOut" caused the false triggers. This number of

Twitter: A Professional Development and Community of Practice Tool for Teachers

Science.gov (United States)

Rosell-Aguilar, Fernando

2018-01-01

This article shows how a group of language teachers use Twitter as a tool for continuous professional development through the #MFLtwitterati hashtag. Based on data collected through a survey (n = 116) and interviews (n = 11), it describes how this collective of teachers use the hashtag and evaluates the impact of their Twitter network on their…

Users' participation and social influence during information spreading on Twitter.

Science.gov (United States)

Zhang, Xin; Han, Ding-Ding; Yang, Ruiqi; Zhang, Ziqiao

2017-01-01

Online Social Networks generate a prodigious wealth of real-time information at an incessant rate. In this paper we study the empirical data that crawled from Twitter to describe the topology and information spreading dynamics of Online Social Networks. We propose a measurement with three measures to state the efforts of users on Twitter to get their information spreading, based on the unique mechanisms for information retransmission on Twitter. It is noticed that small fraction of users with special performance on participation can gain great influence, while most other users play a role as middleware during the information propagation. Thus a community analysis is performed and four categories of users are found with different kinds of participation that cause the information dissemination dynamics. These suggest that exiting topological measures alone may reflect little about the influence of individuals and provide new insights for information spreading.

Facebook versus Twitter: Which one is more credible in a South African context?

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Kim L. Viljoen

2016-07-01

Full Text Available Background: Studies conducted have shown that half of the South African population uses either or both Facebook and Twitter social networking sites for social satisfaction and for the evaluation of products and purchase decisions. This is a direct result of the continuous technological advancements worldwide and the permeative nature of social media. Objective: The focus of this study is to evaluate the credibility of Facebook and Twitter messages while establishing which of the mediums is perceived as more believable by consumers. The results of this research direct information technology practitioners, business managers, business owners, and marketing managers on the viability of these communication mediums. Method: A positivistic paradigm was used in this study through the use of a descriptive research design which consisted of a survey of 446 respondents located in East London, Eastern Cape Province of South Africa. Respondents were either selected randomly or through convenience sampling and were between age 18 and 55. Results: It was established that both Facebook and Twitter are significantly related to the independent variable of ‘intention to purchase’, with Twitter having a stronger correlation with the independent variable than Facebook. The context of the study was set in relation to the purchase intention of specific mobile phone brands. Conclusion: Based on these results, it can be concluded that Twitter electronic word-of-mouth can be considered to be more credible than Facebook electronic word-of-mouth; thus this should be considered when advertising or promoting products via these mediums.

Social networking and the Olympic Movement: social media analysis, opportunities and trends : final report

OpenAIRE

Fernández Peña, Emilio

2011-01-01

Table of contents : 1: Introduction. - 2 : Sociodemographic data of social networking sites. - 3 : The Vancouver 2010 Olympic Winter Games on Facebook, Twitter and Orkut. - 4 : Singapore 2010 Youth Olympic Games communication strategies on Facebook and Twitter. - 5 : Sport organizations social networking strategies : case study analysis. - 6 : Olympic athletes and social media use during a non olympic-period. - 7. The Olympic Games, NBA and FC Barcelona on Facebook : content and fan participa...

Virtual campaign effects in the universe of social media: the behavior of voters on Twitter during 2010 Elections

Directory of Open Access Journals (Sweden)

ROSSINI, Patrícia Gonçalves da Conceição

2013-01-01

Full Text Available The proposal of this exploratory research is to discuss the relationship between social network sites (SNSand the decision-making process, based on the assumptions of theories of voters’ behavior and Brundidge’s inadvertent exposure thesis, which provide a framework for understanding how people can be exposed topolitical information online. This study focuses on the use of Twitter during 2010 presidential race in Brazil, the country's first campaign with the use of social media. Through an empirical analysis based on a survey applied online, we seek to understand how Brazilian voters had access to political information, interacted with candidates on Twitter and felt about the use of social media during the campaign

PENGARUH ELECTRONIC WORD OF MOUTH (eWOM TWITTER @batikair TERHADAP BRAND IMAGE

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Cherry Kartika

2015-05-01

Full Text Available This study aims to determine the influence of the Electronic Word of Mouth twitter @batikair in terms of the following dimensions are intensity dimension to the brand image, valence of opinion dimension to the brand image, and content dimension to the brand image.The sampling technique in this study using purposive sampling technique with criteria from Batik Air passengers in period of June 2015. The data in this study are primary data that collected through questionnaires. Data were analyzed using multiple regression analysis with the classical assumptions.Based on the results of data analysis and discussion, it can be concluded as follows: (1 There is eWOM twitter @batikair influence in terms of intensity dimension to the brand image. (2 There is a eWOM twitter @batikair influence in terms of valence of opinion dimension to the brand image. @batikair. (3 There is a positive eWOM twitter @batikair influence in terms of content dimension to the brand image, it means that the better available information from social network sites relating to products and services will be a positive influence on @batikairbrand image enhancement.   Penelitian ini bertujuan untuk mengetahui pengaruh Electronic Word of Mouth (eWOM twitter @batikair ditinjau dari dimensi-dimensi berikut yaitu dimensi intensity terhadap brand image, dimensi valence of opinion terhadap brand image, dan dimensi content terhadap brand image.Teknik pengambilan sampel pada penelitian ini menggunakan teknik purposive sampling dengan kriteria tertentu yaitu para penumpang Batik Air. Data pada penelitian ini adalah data primer yang dikumpulkan melalui kuesioner. Teknik analisis data menggunakan analisis regresi berganda dengan asumsi klasik.Berdasarkan pada hasil analisis data dan pembahasan maka dapat disimpulkan sebagai berikut: (1 Terdapat pengaruh eWOM twitter @batikair ditinjau dari dimensi intensity terhadap brand imag.e. (2 Terdapat pengaruh eWOM twitter @batikair ditinjau dari dimensi

Social Networks on Spanish Politics: Twitter on 2011 Election Campaigns

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Luis Izquierdo Labella

2012-05-01

Full Text Available Twitter broke during the campaign of the Spanish regional and municipal elections of May 2011 with great strength as a field over the electoral battle. Most of the communication equipment of the leading candidates made extensive use of this new tool making it an additional tool to conventional media. Thus it was found inthe race for the presidency of the Community of Madrid and the mayor at City Hall of Madrid. Five months later, his strength was multiplied during the November elections, consolidating Twitter as another tool for candidates, journalists and citizens in the political debate.

Information-sharing tendency on Twitter and time evolution of tweeting

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Kwon, H. W.; Kim, H. S.; Lee, K.; Choi, M. Y.

2013-03-01

While topics on Twitter may be categorized according to their predictability and sustainability, some topics have characteristics depending on the time scale. Here we propose a good measure for the transition of sustainability, which we call the information-sharing tendency, and find that the unpredictability on Twitter is provoked by the exposure of Twitter users to external environments, e.g., mass media and other social network services. In addition, it is demonstrated that the numbers of articles and comments on on-line newspapers serve as plausible measures of exposure. From such measures of exposure, the time evolution of tweeting can be described, when the information-sharing tendency is known.

How Did the Information Flow in the #AlphaGo Hashtag Network? A Social Network Analysis of the Large-Scale Information Network on Twitter.

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Kim, Jinyoung

2017-12-01

As it becomes common for Internet users to use hashtags when posting and searching information on social media, it is important to understand who builds a hashtag network and how information is circulated within the network. This article focused on unlocking the potential of the #AlphaGo hashtag network by addressing the following questions. First, the current study examined whether traditional opinion leadership (i.e., the influentials hypothesis) or grassroot participation by the public (i.e., the interpersonal hypothesis) drove dissemination of information in the hashtag network. Second, several unique patterns of information distribution by key users were identified. Finally, the association between attributes of key users who exerted great influence on information distribution (i.e., the number of followers and follows) and their central status in the network was tested. To answer the proffered research questions, a social network analysis was conducted using a large-scale hashtag network data set from Twitter (n = 21,870). The results showed that the leading actors in the network were actively receiving information from their followers rather than serving as intermediaries between the original information sources and the public. Moreover, the leading actors played several roles (i.e., conversation starters, influencers, and active engagers) in the network. Furthermore, the number of their follows and followers were significantly associated with their central status in the hashtag network. Based on the results, the current research explained how the information was exchanged in the hashtag network by proposing the reciprocal model of information flow.

Tweeting about Mental Health: Big Data Text Analysis of Twitter for Public Policy

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Zaydman, Mikhail

2017-01-01

This dissertation examines conversations and attitudes about mental health in Twitter discourse. The research uses big data collection, machine learning classification, and social network analysis to answer the following questions (1) what mental health topics do people discuss on Twitter? (2) Have patterns of conversation changed over time? Have…

FCJ-190 Building a Better Twitter: A Study of the Twitter Alternatives GNU social, Quitter, rstat.us, and Twister

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Robert W. Gehl

2015-06-01

Full Text Available Drawing on interviews with developers and close readings of site interfaces and architectures, this essay explores four Twitter alternatives: Twister, rstat.us, GNU social (a Free Software Foundation microblogging software project and Quitter (a specific installation of GNU social. The interviews and analyses of these Twitter alternatives reveal how these developers relate their projects to mainstream social media architectures and cultures; how they conceive of Twitter’s development over time; how they think about legal issues as they make their alternatives; and whether or not they conceive of their work as activism. In sum, I explore how these developers are critically reverse engineering Twitter and how that process intersects with multiple concerns and tensions, and how these tensions are generating new ways to think about what it means to do microblogging.

The gene patent controversy on Twitter: a case study of Twitter users' responses to the CHEO lawsuit against Long QT gene patents.

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Du, Li; Kamenova, Kalina; Caulfield, Timothy

2015-08-25

The recent Canadian lawsuit on patent infringement, filed by the Children's Hospital of Eastern Ontario (CHEO), has engendered a significant public debate on whether patenting genes should be legal in Canada. In part, this public debate has involved the use of social networking sites, such as Twitter. This case provides an opportunity to examine how Twitter was used in the context of this gene patent controversy. We collected 310 English-language tweets that contained the keyword "gene patents" by using TOPSY.com and Twitter's built-in search engine. A content analysis of the messages was conducted to establish the users' perspectives on both CHEO's court challenge and the broader controversy over the patenting of human DNA. More specifically, we analyzed the users' demographics, geographic locations, and attitudes toward the CHEO position on gene patents and the patentability of human genes in principle. Our analysis has shown that messages tweeted by news media and health care organizations were re-tweeted most frequently in Twitter discussions regarding both the CHEO patent infringement lawsuit and gene patents in general. 34.8% of tweets were supportive of CHEO, with 52.8% of the supportive tweets suggesting that gene patents contravene patients' rights to health care access. 17.6% of the supportive tweets cited ethical and social concerns against gene patents. Nearly 40% of tweets clearly expressed that human genes should not be patentable, and there were no tweets that presented perspectives favourable toward the patenting of human genes. Access to healthcare and the use of genetic testing were the most important concerns raised by Twitter users in the context of the CHEO case. Our analysis of tweets reveals an expectation that the CHEO lawsuit will provide an opportunity to clear the confusion on gene patents by establishing a legal precedent on the patentability of human genes in Canada. In general, there were no tweets arguing in favour of gene patents

The Effectiveness of Twitter as a Communication Tool in College Recruitment

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Kelly, Karen Jean

2013-01-01

Although some colleges are making progress in integrating new technology into their recruitment practices, many still lack an understanding of how to utilize modern communication tools, including social media sites such as Twitter, effectively. This study explored whether there is a relationship between Twitter usage and recruitment at U.S.…

A systematic identification and analysis of scientists on Twitter.

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Qing Ke

Full Text Available Metrics derived from Twitter and other social media-often referred to as altmetrics-are increasingly used to estimate the broader social impacts of scholarship. Such efforts, however, may produce highly misleading results, as the entities that participate in conversations about science on these platforms are largely unknown. For instance, if altmetric activities are generated mainly by scientists, does it really capture broader social impacts of science? Here we present a systematic approach to identifying and analyzing scientists on Twitter. Our method can identify scientists across many disciplines, without relying on external bibliographic data, and be easily adapted to identify other stakeholder groups in science. We investigate the demographics, sharing behaviors, and interconnectivity of the identified scientists. We find that Twitter has been employed by scholars across the disciplinary spectrum, with an over-representation of social and computer and information scientists; under-representation of mathematical, physical, and life scientists; and a better representation of women compared to scholarly publishing. Analysis of the sharing of URLs reveals a distinct imprint of scholarly sites, yet only a small fraction of shared URLs are science-related. We find an assortative mixing with respect to disciplines in the networks between scientists, suggesting the maintenance of disciplinary walls in social media. Our work contributes to the literature both methodologically and conceptually-we provide new methods for disambiguating and identifying particular actors on social media and describing the behaviors of scientists, thus providing foundational information for the construction and use of indicators on the basis of social media metrics.

A systematic identification and analysis of scientists on Twitter

Science.gov (United States)

Ke, Qing; Ahn, Yong-Yeol; Sugimoto, Cassidy R.

2017-01-01

Metrics derived from Twitter and other social media—often referred to as altmetrics—are increasingly used to estimate the broader social impacts of scholarship. Such efforts, however, may produce highly misleading results, as the entities that participate in conversations about science on these platforms are largely unknown. For instance, if altmetric activities are generated mainly by scientists, does it really capture broader social impacts of science? Here we present a systematic approach to identifying and analyzing scientists on Twitter. Our method can identify scientists across many disciplines, without relying on external bibliographic data, and be easily adapted to identify other stakeholder groups in science. We investigate the demographics, sharing behaviors, and interconnectivity of the identified scientists. We find that Twitter has been employed by scholars across the disciplinary spectrum, with an over-representation of social and computer and information scientists; under-representation of mathematical, physical, and life scientists; and a better representation of women compared to scholarly publishing. Analysis of the sharing of URLs reveals a distinct imprint of scholarly sites, yet only a small fraction of shared URLs are science-related. We find an assortative mixing with respect to disciplines in the networks between scientists, suggesting the maintenance of disciplinary walls in social media. Our work contributes to the literature both methodologically and conceptually—we provide new methods for disambiguating and identifying particular actors on social media and describing the behaviors of scientists, thus providing foundational information for the construction and use of indicators on the basis of social media metrics. PMID:28399145

Leveraging Twitter to Maximize the Radiology Meeting Experience.

Science.gov (United States)

Kalia, Vivek; Ortiz, Daniel A; Patel, Amy K; Moriarity, Andrew K; Canon, Cheri L; Duszak, Richard

2018-01-01

Over recent years, social media engagement has proliferated among physicians, health care systems, scientific journals, professional societies, and patients. In radiology, Twitter (Twitter Inc, San Francisco, California) has rapidly become the preferred social media engagement tool and is now an essential activity at many large radiology society meetings. Twitter offers a versatile, albeit simple, platform for anyone interested in engaging with others, regardless of title, stature, or geography. In radiology and other medical specialties, year-after-year increases in Twitter engagement before, during, and after professional society meetings continue with widespread positive feedback. This short-form messaging tool also allows users to connect and interact with high-impact individuals and organizations on an ongoing basis (rather than once a year during large meetings). Through live-polling, Twitter also has the power to gather global opinions on issues highly relevant to radiology's future, such as the Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) or breast cancer screening. Also increasingly popular is "live-tweeting" of curated meeting content, which makes information from the meeting accessible to a global audience. Despite the promise of growing professional networks and enabling discussions that cross geographic boundaries, the risks of Twitter use during radiology meetings must be recognized and mitigated. These include posting of unpublished data without consent (eg, slide content captured on camera phones), propagation of misinformation, and copyright infringement. Despite these issues and with an eye towards professionalism, Twitter can nonetheless be used effectively to increase engagement among radiologists, radiology societies, and patients. Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Twittering About Research: A Case Study of the World’s First Twitter Poster Competition [version 2; referees: 3 approved

Directory of Open Access Journals (Sweden)

Edward P. Randviir

2015-12-01

Full Text Available The Royal Society of Chemistry held, to our knowledge, the world’s first Twitter conference at 9am on February 5 th, 2015. The conference was a Twitter-only conference, allowing researchers to upload academic posters as tweets, replacing a physical meeting. This paper reports the details of the event and discusses the outcomes, such as the potential for the use of social media to enhance scientific communication at conferences. In particular, the present work argues that social media outlets such as Twitter broaden audiences, speed up communication, and force clearer and more concise descriptions of a researcher’s work. The benefits of poster presentations are also discussed in terms of potential knowledge exchange and networking. This paper serves as a proof-of-concept approach for improving both the public opinion of the poster, and the enhancement of the poster through an innovative online format that some may feel more comfortable with, compared to face-to-face communication.

Twittering About Research: A Case Study of the World’s First Twitter Poster Competition [version 3; referees: 3 approved

Directory of Open Access Journals (Sweden)

Edward P. Randviir

2016-06-01

Full Text Available The Royal Society of Chemistry held, to our knowledge, the world’s first Twitter conference at 9am on February 5 th, 2015. The conference was a Twitter-only conference, allowing researchers to upload academic posters as tweets, replacing a physical meeting. This paper reports the details of the event and discusses the outcomes, such as the potential for the use of social media to enhance scientific communication at conferences. In particular, the present work argues that social media outlets such as Twitter broaden audiences, speed up communication, and force clearer and more concise descriptions of a researcher’s work. The benefits of poster presentations are also discussed in terms of potential knowledge exchange and networking. This paper serves as a proof-of-concept approach for improving both the public opinion of the poster, and the enhancement of the poster through an innovative online format that some may feel more comfortable with, compared to face-to-face communication.

Identifying Depression on Twitter

OpenAIRE

Nadeem, Moin

2016-01-01

Social media has recently emerged as a premier method to disseminate information online. Through these online networks, tens of millions of individuals communicate their thoughts, personal experiences, and social ideals. We therefore explore the potential of social media to predict, even prior to onset, Major Depressive Disorder (MDD) in online personas. We employ a crowdsourced method to compile a list of Twitter users who profess to being diagnosed with depression. Using up to a year of pri...

Reaching the global community during disasters: findings from a content analysis of the organizational use of Twitter after the 2010 Haiti earthquake.

Science.gov (United States)

Gurman, Tilly A; Ellenberger, Nicole

2015-01-01

Social networking sites provide virtual environments in which individuals and organizations exchange real-time information on a multitude of topics, including health promotion and disease prevention. The January 2010 earthquake in Haiti has been posited as a turning point in the way in which organizations use social media, such as Twitter, for crisis communication. The purpose of this content analysis was to explore whether organizations' use of Twitter changed after the 2010 Haiti earthquake. A team of 13 coders analyzed all English-language tweets (N = 2,616) during the 3 months before and post earthquake from 6 leading organizations in the Haiti disaster relief efforts. Study findings indicate that the ways in which organizations used Twitter changed over time. Chi-square analyses demonstrated that organizations decreased in their use of certain strategies to disseminate information through Twitter, such as the use of links. Organizations did not change in their use of techniques to involve users (e.g., retweet, call to action), with the exception of using tweets as a fundraising mechanism. Study findings highlight missed opportunities among organizations to maximize Twitter in order to encourage more interactive and immediate communication with the global community.

The Twitter Book

CERN Document Server

O'Reilly, Tim

2009-01-01

This practical guide will teach you everything you need to know to quickly become a Twitter power user, including strategies and tactics for using Twitter's 140-character messages as a serious--and effective--way to boost your business. Co-written by Tim O'Reilly and Sarah Milstein, widely followed and highly respected Twitterers, the practical information in The Twitter Book is presented in a fun, full-color format that's packed with helpful examples and clear explanations.A Sneak Preview on SlideShare

Detecting Aggressors and Bullies on Twitter

OpenAIRE

Despoina Chatzakou; Nicolas Kourtellis; Jeremy Blackburn; Emiliano De Cristofaro; Gianluca Stringhini; Athena Vakali

2017-01-01

Online social networks constitute an integral part of people's every day social activity and the existence of aggressive and bullying phenomena in such spaces is inevitable. In this work, we analyze user behavior on Twitter in an effort to detect cyberbullies and cuber-aggressors by considering specific attributes of their online activity using machine learning classifiers.

A Linguistic Analysis of Suicide-Related Twitter Posts.

Science.gov (United States)

O'Dea, Bridianne; Larsen, Mark E; Batterham, Philip J; Calear, Alison L; Christensen, Helen

2017-09-01

Suicide is a leading cause of death worldwide. Identifying those at risk and delivering timely interventions is challenging. Social media site Twitter is used to express suicidality. Automated linguistic analysis of suicide-related posts may help to differentiate those who require support or intervention from those who do not. This study aims to characterize the linguistic profiles of suicide-related Twitter posts. Using a dataset of suicide-related Twitter posts previously coded for suicide risk by experts, Linguistic Inquiry and Word Count (LIWC) and regression analyses were conducted to determine differences in linguistic profiles. When compared with matched non-suicide-related Twitter posts, strongly concerning suicide-related posts were characterized by a higher word count, increased use of first-person pronouns, and more references to death. When compared with safe-to-ignore suicide-related posts, strongly concerning suicide-related posts were characterized by increased use of first-person pronouns, greater anger, and increased focus on the present. Other differences were found. The predictive validity of the identified features needs further testing before these results can be used for interventional purposes. This study demonstrates that strongly concerning suicide-related Twitter posts have unique linguistic profiles. The examination of Twitter data for the presence of such features may help to validate online risk assessments and determine those in need of further support or intervention.

Measuring youth exposure to alcohol marketing on social networking sites: challenges and prospects.

Science.gov (United States)

Jernigan, David H; Rushman, Anne E

2014-02-01

Youth exposure to alcohol marketing has been linked to increased alcohol consumption and problems. On relatively new and highly interactive social networking sites (SNS) that are popular with youth, tools for measuring youth exposure to alcohol marketing in traditional media are inadequate. We critically review the existing policies of Facebook, Twitter, and YouTube designed to keep branded alcohol content away from underage youth. Looking at brand and user activity on Facebook for the 15 alcohol brands most popular among US youth, we found activity has grown dramatically in the past 3 years, and underage users may be accounting for some of this activity. Surveys of youth and adult participation in alcohol marketing on SNS will be needed to inform debate over these marketing practices.

Validation of Twitter opinion trends with national polling aggregates: Hillary Clinton vs Donald Trump.

Science.gov (United States)

Bovet, Alexandre; Morone, Flaviano; Makse, Hernán A

2018-06-06

Measuring and forecasting opinion trends from real-time social media is a long-standing goal of big-data analytics. Despite the large amount of work addressing this question, there has been no clear validation of online social media opinion trend with traditional surveys. Here we develop a method to infer the opinion of Twitter users by using a combination of statistical physics of complex networks and machine learning based on hashtags co-occurrence to build an in-domain training set of the order of a million tweets. We validate our method in the context of 2016 US Presidential Election by comparing the Twitter opinion trend with the New York Times National Polling Average, representing an aggregate of hundreds of independent traditional polls. The Twitter opinion trend follows the aggregated NYT polls with remarkable accuracy. We investigate the dynamics of the social network formed by the interactions among millions of Twitter supporters and infer the support of each user to the presidential candidates. Our analytics unleash the power of Twitter to uncover social trends from elections, brands to political movements, and at a fraction of the cost of traditional surveys.

Facebook, Twitter, Instagram, Pinterest – nowe perspektywy badawcze

Directory of Open Access Journals (Sweden)

Maria Czarkowska

2017-12-01

Full Text Available Facebook, Twitter, Instagram, Pinterest – new research perspectivesThe goal of this paper is to present the vast array of content that is emerging within social media platforms: Facebook, Twitter, Instagram and Pinterest and analyze the ways in which they can be classified. This is a review of the available interdisciplinary methods and factors that should be taken into consideration when researching the genelogy of the texts that arise in the network. The Internet has changed the face of social communication. It has highlighted processes that were much less visible before. The challenge for researchers is to analyze the enormous amount of content and incorporate it into a classification system. Above all, statements made on social media platforms, such as Facebook, Twitter, Instagram and Pinterest, require analysis. Previous attempts to systematize them did not correspond to the reality of the network. Research on the Internet genres and communication forms requires the use of relevant analytical tools and interdisciplinary approaches.   Facebook, Twitter, Instagram, Pinterest – nowe perspektywy badawczeCelem publikacji jest zaprezentowanie ogromnej liczby różnorodnych treści, które powstają w ramach platform społecznościowych: Facebook, Twitter, Instagram i Pinterest, oraz analiza dostępnych sposobów ich klasyfikacji. Chodzi zatem o przegląd dostępnych interdyscyplinarnych metod i czynników, które warto brać pod uwagę przy badaniach genologicznych tekstów, które powstają w sieci. Internet zmienił oblicze społecznej komunikacji. Uwypuklił procesy, które do tej pory nie były tak widoczne. Wyzwaniem dla badaczy jest analiza ogromnej ilości treści i ujęcie ich w system klasyfikacji. Analizy wymagają przede wszystkim komunikaty powstające w ramach mediów społecznościowych, takich jak Facebook, Twitter, Instagram i Pinterest. Dotychczasowe próby systematyzacji nie odpowiadały realiom sieci. Badania form

The Impact Facebook and Twitter has on the Cognitive Social Capital of University Students

OpenAIRE

Kevin A. Johnston; Chad Petersen

2015-01-01

The impact that Facebook and Twitter usage has on the creation and maintenance of university student’s cognitive social capital was investigated on students in the Western Cape province of South Africa. Facebook and Twitter were selected as part of the research context because both are popular online social network systems (SNSs), and few studies were found that investigated the impact that both Facebook and Twitter have on the cognitive social capital of South African university students. Da...

Review of Twitter for infectious diseases clinicians: useful or a waste of time?

Science.gov (United States)

Goff, Debra A; Kullar, Ravina; Newland, Jason G

2015-05-15

Twitter is a social networking service that has emerged as a valuable tool for healthcare professionals (HCPs). It is the only platform that allows one to connect, engage, learn, and educate oneself and others in real time on a global scale. HCPs are using social media tools to communicate, educate, and engage with their peers worldwide. Twitter allows HCPs to deliver easily accessible "real-time" clinical information on a global scale. Twitter has more than 500 million active users who generate more than 58 million tweets and 2.1 billion search queries every day. Here, we explain why Twitter is important, how and when an infectious diseases (ID) HCP should use Twitter, the impact it has in disseminating ID news, and its educational value. We also describe various tools within Twitter, such as Twitter Chat, that connect and bond HCPs on a specific topic. Twitter may help ID HCPs teach others about the global responsible use of antimicrobials in a world of escalating antimicrobial resistance. © The Author 2015. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Twitter Fiction: A New Creative Literary Landscape

Science.gov (United States)

Al Sharaqi, Laila; Abbasi, Irum

2016-01-01

Twitter, synonymous with social networking, has become a successful social platform for the exchange of ideas, news, and information. It has also emerged as an experimental platform through which users explore creative realms of poetic and narrative content, albeit in 140 characters. The real-time tweets are fundamentally unique and increasingly…

Developing an Approach to Harvesting, Cleaning, and Analyzing Data from Twitter Using R

Science.gov (United States)

Hill, Stephen; Scott, Rebecca

2017-01-01

Using data from social media can be of great value to businesses and other interested parties. However, harvesting data from social media networks such as Twitter, cleaning the data, and analyzing the data can be difficult. In this article, a step-by-step approach to obtaining data via the Twitter application program interface (API) is described.…

Mining Twitter Data to Augment NASA GPM Validation

Science.gov (United States)

Teng, Bill; Albayrak, Arif; Huffman, George; Vollmer, Bruce; Loeser, Carlee; Acker, Jim

2017-01-01

The Twitter data stream is an important new source of real-time and historical global information for potentially augmenting the validation program of NASA's Global Precipitation Measurement (GPM) mission. There have been other similar uses of Twitter, though mostly related to natural hazards monitoring and management. The validation of satellite precipitation estimates is challenging, because many regions lack data or access to data, especially outside of the U.S. and in remote and developing areas. The time-varying set of "precipitation" tweets can be thought of as an organic network of rain gauges, potentially providing a widespread view of precipitation occurrence. Twitter provides a large source of crowd for crowdsourcing. During a 24-hour period in the middle of the snow storm this past March in the U.S. Northeast, we collected more than 13,000 relevant precipitation tweets with exact geolocation. The overall objective of our project is to determine the extent to which processed tweets can provide additional information that improves the validation of GPM data. Though our current effort focuses on tweets and precipitation, our approach is general and applicable to other social media and other geophysical measurements. Specifically, we have developed an operational infrastructure for processing tweets, in a format suitable for analysis with GPM data; engaged with potential participants, both passive and active, to "enrich" the Twitter stream; and inter-compared "precipitation" tweet data, ground station data, and GPM retrievals. In this presentation, we detail the technical capabilities of our tweet processing infrastructure, including data abstraction, feature extraction, search engine, context-awareness, real-time processing, and high volume (big) data processing; various means for "enriching" the Twitter stream; and results of inter-comparisons. Our project should bring a new kind of visibility to Twitter and engender a new kind of appreciation of the value

LONG CHAINS OR STABLE COMMUNITIES? THE ROLE OF EMOTIONAL STABILITY IN TWITTER CONVERSATIONS

DEFF Research Database (Denmark)

Celli, Fabio; Rossi, Luca

2014-01-01

In this article, we address the issue of how emotional stability affects social relationships in Twitter. In particular, we focus our study on users’ communicative interactions, identified by the symbol “@.” We collected a corpus of about 200,000 Twitter posts, and we annotated it with our...... for the analysis of Twitter data. Social network analysis shows that, whereas secure users have more mutual connections, neurotic users post more than secure ones and have the tendency to build longer chains of interacting users. Clustering coefficient analysis reveals that, whereas secure users tend to build...

Mecanismos de humor verbal en Twitter

Directory of Open Access Journals (Sweden)

María Simarro Vázquez

2016-11-01

Full Text Available The present article aims to characterize samples of verbal humor published on the social network Twitter. To do so, an analysis of 81 humorous texts published under the hashtag #otegi during 1 March 2016, on which date Arnaldo Otegi was released from prison after six years, was carried out. A pragmatic study of the tweets was performed, opting for the General Theory of Verbal Humor as a basis. The examination conducted reveals that the manner of presentation of opposing scripts, the logical mechanisms availed of to resolve this kind of incongruity, the special narrative strategies selected and the linguistic choices made are determined at all times by the circumstances in which the texts are presented and the upper limit constraint of 140 characters per Twitter publication.

Twitter en las campañas comunicativas de películas cinematográficas

OpenAIRE

Deltell, Luis; Osteso, José-Miguel; Claes, Florencia

2013-01-01

Twitter in films communication campaigns. Advertising campaigns for film premieres have experienced a cultural, social and technological revolution since the dawn of social networks. Twitter is proposed as a method to study how the box office behaves and how leaders emerge among feature films. This project utilizes the "Tengo ganas de ti" (“I want you”) case to analyze the use of Twitter in the communication campaign of a Spanish film, focusing on the producer’s and lead actors’ official prof...

Astrophysicists' conversational connections on Twitter.

Directory of Open Access Journals (Sweden)

Kim Holmberg

Full Text Available Because Twitter and other social media are increasingly used for analyses based on altmetrics, this research sought to understand what contexts, affordance use, and social activities influence the tweeting behavior of astrophysicists. Thus, the presented study has been guided by three research questions that consider the influence of astrophysicists' activities (i.e., publishing and tweeting frequency and of their tweet construction and affordance use (i.e. use of hashtags, language, and emotions on the conversational connections they have on Twitter. We found that astrophysicists communicate with a variety of user types (e.g. colleagues, science communicators, other researchers, and educators and that in the ego networks of the astrophysicists clear groups consisting of users with different professional roles can be distinguished. Interestingly, the analysis of noun phrases and hashtags showed that when the astrophysicists address the different groups of very different professional composition they use very similar terminology, but that they do not talk to each other (i.e. mentioning other user names in tweets. The results also showed that in those areas of the ego networks that tweeted more the sentiment of the tweets tended to be closer to neutral, connecting frequent tweeting with information sharing activities rather than conversations or expressing opinions.

The Twitter Book

CERN Document Server

O'Reilly, Tim

2011-01-01

Twitter is not just for talking about your breakfast anymore. It's become an indispensable communications tool for businesses, non-profits, celebrities, and people around the globe. With the second edition of this friendly, full-color guide, you'll quickly get up to speed not only on standard features, but also on new options and nuanced uses that will help you tweet with confidence. Co-written by two widely recognized Twitter experts, The Twitter Book is packed with all-new real-world examples, solid advice, and clear explanations guaranteed to turn you into a power user. Use Twitter to con

Vape, quit, tweet? Electronic cigarettes and smoking cessation on Twitter.

Science.gov (United States)

van der Tempel, Jan; Noormohamed, Aliya; Schwartz, Robert; Norman, Cameron; Malas, Muhannad; Zawertailo, Laurie

2016-03-01

Individuals seeking information about electronic cigarettes are increasingly turning to social media networks like Twitter. We surveyed dominant Twitter communications about e-cigarettes and smoking cessation, examining message sources, themes, and attitudes. Tweets from 2014 were searched for mentions of e-cigarettes and smoking cessation. A purposive sample was subjected to mixed-methods analysis. Twitter communication about e-cigarettes increased fivefold since 2012. In a sample of 300 tweets from high-authority users, attitudes about e-cigarettes as smoking cessation aids were favorable across user types (industry, press, public figures, fake accounts, and personal users), except for public health professionals, who lacked consensus and contributed negligibly to the conversation. The most prevalent message themes were marketing, news, and first-person experiences with e-cigarettes as smoking cessation aids. We identified several industry strategies to reach Twitter users. Our findings show that Twitter users are overwhelmingly exposed to messages that favor e-cigarettes as smoking cessation aids, even when disregarding commercial activity. This underlines the need for effective public health engagement with social media to provide reliable information about e-cigarettes and smoking cessation online.

A Framework for Achieving Situational Awareness during Crisis based on Twitter Analysis

Science.gov (United States)

Zielinski, Andrea; Tokarchuk, Laurissa; Middleton, Stuart; Chaves, Fernando

2013-04-01

Decision Support Systems for Natural Crisis Management increasingly employ Web 2.0 and 3.0 technologies for future collaborative decision making, including the use of social networks like Twitter. However, human sensor data is not readily accessible and interpretable, since the texts are unstructured, noisy and available in various languages. The present work focusses on the detection of crisis events in a multilingual setting as part of the FP7-funded EU project TRIDEC and is motivated by the goal to establish a Tsunami warning system for the Mediterranean. It is integrated into a dynamic spatial-temporal decision making component with a command and control unit's graphical user interface that presents all relevant information to the human operator to support critical decision-support. To this end, a tool for the interactive visualization of geospatial data is implemented: All tweets with an exact timestamp or geo-location are monitored on the map in real-time so that the operator on duty can get an overall picture of the situation. Apart from the human sensor data, the seismic sensor data will appear also on the same screen. Signs of abnormal activity from twitter usage in social networks as well as in sensor networks devices can then be used to trigger official warning alerts according to the CAP message standard. Whenever a certain threshold of relevant tweets in a HASC region (Hierarchical Administrative Subdivision Code) is exceeded, the twitter activity in this administrative region will be shown on a map. We believe that the following functionalities are crucial for monitoring crisis, making use of text mining and network analysis techniques: Focussed crawling, trustworthyness analysis geo-parsing, and multilingual tweet classification. In the first step, the Twitter Streaming API accesses the social data, using an adaptive keyword list (focussed crawling). Then, tweets are filtered and aggregated to form counts for a certain time-span (e.g., an interval of

How Do Online Citizens Persuade Fellow Voters? Using Twitter During the 2012 Dutch Parliamentary Election Campaign

NARCIS (Netherlands)

Dayican, B.; Amrit, Chintan Amrit; Aarts, Kees; Dassen, A.

2014-01-01

This article explores how Twitter was used by voters to participate in electoral campaigning during the Dutch election campaign of 2012. New social media networks like Twitter are believed to be efficient tools of communication between electoral candidates and voters during electoral campaign

@doesyourairlinetweet? An empirical examination of the use of twitter by 50 international airlines

Directory of Open Access Journals (Sweden)

Lucy Budd

2012-10-01

Full Text Available Purpose: To provide empirical evidence of the extent to which 50 of the world’s largest passenger airlines use the social media site twitter.Design/methodology/approach: Original empirical data on the presence and usage of 50 airlines’ official twitter accounts was accessed.Research limitations/implications: Research demonstrates the extent to which airlines are using twitter as a communications tool and suggests that some airline are not currently utilising twitter to its full extent.Practical implications: The research provides information on current twitter use and penetration, thus enabling airlines to benchmark their performance in this social media channel.Originality/value: The paper provides an original empirical insight into a growing phenomenon which is currently underreported in academic literatures.

Medical Institutions and Twitter: A Novel Tool for Public Communication in Japan.

Science.gov (United States)

Sugawara, Yuya; Narimatsu, Hiroto; Tsuya, Atsushi; Tanaka, Atsushi; Fukao, Akira

2016-01-01

Twitter is a free social networking and microblogging service on the Internet. Medical professionals and patients have started to use Twitter in medicine. Twitter use by medical institutions can interactively and efficiently provide public health information and education for laypeople. This study examined Twitter usage by medical institutions. We reviewed all Japanese user accounts in which the names of medical institutions were described in the user's Twitter profile. We then classified medical institutions' tweets by content. We extracted 168 accounts for medical institutions with ≥500 followers. The medical specialties of those accounts were dentistry and oral surgery (n=73), dermatology (n=12), cosmetic surgery (n=10), internal medicine (n=10), ophthalmology (n=6), obstetrics and gynecology (n=5), plastic surgery (n=2), and others (n=50). Of these, 21 accounts tweeted medical knowledge and 45 accounts tweeted guidance about medical practice and consultation hours, including advertisements. In the dentistry and oral surgery accounts, individual behavior or thinking was the most frequent (22/71, 31%) content. On the other hand, consultation including advertisements was the most frequent (14/23, 61%) in cosmetic surgery, plastic surgery, and dermatology. Some medical specialties used Twitter for disseminating medical knowledge or guidance including advertisements. This indicates that Twitter potentially can be used for various purposes by different medical specialties.

Efeitos da campanha virtual no universo das mídias sociais: o comportamento do eleitor no Twitter nas Eleições 2010

Directory of Open Access Journals (Sweden)

Patricia Gonçalves da Conceição Rossini

2013-04-01

Full Text Available The proposal of this exploratory research is to discuss the relationship between social network sites (SNS and the decision-making process, based on the assumptions of theories of voters’ behavior and Brundidge’s inadvertent exposure thesis, which provide a framework for understanding how people can be exposed to political information online. This study focuses on the use of Twitter during 2010 presidential race in Brazil, the country's first campaign with the use of social media. Through an empirical analysis based on a survey applied online, we seek to understand how Brazilian voters had access to political information, interacted with candidates on Twitter and felt about the use of social media during the campaign

The dangers of Twitter

CERN Multimedia

IT Department

2009-01-01

(Copied from SWITCH newsletter, July 2009) Needless to say Twitter has become a very popular micro-blogging service. However, the more popular a service becomes on the Internet, the more attractive it appears to cyber criminals. Over the last few weeks, several entries in form of links appeared to attract users to click on them. The links point to various special prepared web sites that infect the visitors PC with malware. In order to attract many people these fake messages often cover recent, popular topics. It is very unlikely that this trend will stop in the next few weeks. The announcement of security experts certainly supports this assumption. One has declared the month of July as the "month of Twitter bugs". On each day in July he plans to publish a different vulnerability of the micro-blogging service. Of course many attackers will also follow these revealing secrets and use them for their own purposes. An American couple just recently highlighted the risk of posting ...

Snow, Ice, & Satellites: An Early Career Researcher's Experience with Twitter

Science.gov (United States)

Pope, A.; Scambos, T. A.

2014-12-01

As a doctoral student, I was lucky enough to be able to experiment with a variety of communication and outreach activities (classroom visits, museum events, science festivals, blogging, social media, etc.) to build communication skills and learn how to talk about my science without writing a journal article. More importantly, the wide range of experience helped me identify what worked for me. My favorite way to share my science now? Twitter. To many, Twitter is a frivolous platform for sharing snippets 140 characters or less. To me, however, it is how I can connect directly with the elusive "wider public" and share my science. Specifically, I use satellite imagery (mostly Landsat 8) to study glaciers around the world. I look at long-term change related to climate, and I also investigate new, innovative ways to use satellite imagery to better understand glaciers and ice sheets. Luckily for me, my research is very visual. Whether fieldwork snapshots or satellite data, images make for great, shareable, accessible tweets. In this presentation, I propose to share my experience of tweeting as an early career researcher. I will include successful strategies (e.g. particular #hashtags, creating new content, using story-telling, timely tweets), as well as some not-so-successful attempts. I will also talk about how I built my Twitter network. In addition to anecdotes, I will include evaluation of my Twitter activity using available metrics and analytics (e.g. followers, favorites, re-tweets, Klout score, etc.). While misunderstood by many in the scientific community, Twitter is a platform increasingly being adopted by researchers. Used correctly, it can be a great tool for connecting directly with an interested, non-technical audience eager to learn about your research. With my experiences and evaluation, I will show how both scientists and the networks that they join and create can benefit by using Twitter as a platform for science communication.

MedlinePlus.gov on Twitter

Science.gov (United States)

... page please turn Javascript on. MedlinePlus.gov on Twitter Past Issues / Fall 2009 Table of Contents You can now follow MedlinePlus.gov on Twitter: twitter.com/medlineplus4you The medlineplus4you Twitter feed provides ...

What Makes a Tweet Fly? Analysis of Twitter Messaging at Four Infection Control Conferences.

Science.gov (United States)

Mitchell, Brett G; Russo, Philip L; Otter, Jonathan A; Kiernan, Martin A; Aveling, Landon

2017-11-01

OBJECTIVE To examine tweeting activity, networks, and common topics mentioned on Twitter at 4 international infection control and infectious disease conferences. DESIGN A cross-sectional study. METHODS An independent company was commissioned to undertake a Twitter 'trawl' each month between July 1, 2016, and November 31, 2016. The trawl identified any tweets that contained the official hashtags of the conferences for (1) the UK Infection Prevention Society, (2) IDWeek 2016, (3) the Federation of Infectious Society/Hospital Infection Society, and (4) the Australasian College for Infection Prevention and Control. Topics from each tweet were identified, and an examination of the frequency and timing of tweets was performed. A social network analysis was performed to illustrate connections between users. A multivariate binary logistic regression model was developed to explore the predictors of 'retweets.' RESULTS In total, 23,718 tweets were identified as using 1 of the 2 hashtags of interest. The results demonstrated that the most tweets were posted during the conferences. Network analysis demonstrated a diversity of twitter networks. A link to a web address was a significant predictor of whether a tweet would be retweeted (odds ratio [OR], 2.0; 95% confidence interval [CI], 1.9-2.1). Other significant factors predicting a retweet included tweeting on topics such as Clostridium difficile (OR, 2.0; 95% CI, 1.7-2.4) and the media (OR, 1.8; 95% CI, 1.6-2.0). Tweets that contained a picture were significantly less likely to be retweeted (OR, 0.06; 95% CI, 0.05-0.08). CONCLUSION Twitter is a useful tool for information sharing and networking at infection control conferences. Infect Control Hosp Epidemiol 2017;38:1271-1276.

Social Networking Sites in Education

OpenAIRE

Suková, Lenka

2010-01-01

Diploma thesis deals with social networking sites and their use in education. Thesis is divided into two general parts. The first part deals with theory of learning; Bloom's taxonomy of educational objectives and new educational theory based on learning in networks -- Connectivism. After that thesis focuses on the definition of social networking sites, introduction of some of the best known social networking sites and examples of their use in foreign and domestic educational practice. The sec...

Mining Twitter Data Stream to Augment NASA GPM Validation

Science.gov (United States)

Teng, W. L.; Albayrak, A.; Huffman, G. J.; Vollmer, B.

2017-12-01

The Twitter data stream is an important new source of real-time and historical global information for potentially augmenting the validation program of NASA's Global Precipitation Measurement (GPM) mission. There have been other similar uses of Twitter, though mostly related to natural hazards monitoring and management. The validation of satellite precipitation estimates is challenging, because many regions lack data or access to data, especially outside of the U.S. and in remote and developing areas. The time-varying set of "precipitation" tweets can be thought of as an organic network of rain gauges, potentially providing a widespread view of precipitation occurrence. Twitter provides a large source of crowd for crowdsourcing. During a 24-hour period in the middle of the snow storm this past March in the U.S. Northeast, we collected more than 13,000 relevant precipitation tweets with exact geolocation. The overall objective of our project is to determine the extent to which processed tweets can provide additional information that improves the validation of GPM data. Though our current effort focuses on tweets and precipitation, our approach is general and applicable to other social media and other geophysical measurements. Specifically, we have developed an operational infrastructure for processing tweets, in a format suitable for analysis with GPM data; engaged with potential participants, both passive and active, to "enrich" the Twitter stream; and inter-compared "precipitation" tweet data, ground station data, and GPM retrievals. In this presentation, we detail the technical capabilities of our tweet processing infrastructure, including data abstraction, feature extraction, search engine, context-awareness, real-time processing, and high volume (big) data processing; various means for "enriching" the Twitter stream; and results of inter-comparisons. Our project should bring a new kind of visibility to Twitter and engender a new kind of appreciation of the value

Agenda Trending: Reciprocity and the Predictive Capacity of Social Networking Sites in Intermedia Agenda Setting across Topics over Time

Directory of Open Access Journals (Sweden)

Jacob Groshek

2013-08-01

Full Text Available In the contemporary converged media environment, agenda setting is being transformed by the dramatic growth of audiences that are simultaneously media users and producers. The study reported here addresses related gaps in the literature by first comparing the topical agendas of two leading traditional media outlets (New York Times and CNN with the most frequently shared stories and trending topics on two widely popular Social Networking Sites (Facebook and Twitter. Time-series analyses of the most prominent topics identify the extent to which traditional media sets the agenda for social media as well as reciprocal agenda-setting effects of social media topics entering traditional media agendas. In addition, this study examines social intermedia agenda setting topically and across time within social networking sites, and in so doing, adds a vital understanding of where traditional media, online uses, and social media content intersect around instances of focusing events, particularly elections. Findings identify core differences between certain traditional and social media agendas, but also within social media agendas that extend from uses examined here. Additional results further suggest important topical and event-oriented limitations upon the predictive capacit of social networking sites to shape traditional media agendas over time.

Conceptualizing of Social Networking Sites

OpenAIRE

J. S. Sodhi; Shilpi Sharma

2012-01-01

People often move to their friends, families and colleagues when they feel urge and having doubts or queries to solve. Participation in social networking site has dramatically increased in recent years. Many social networking sites boost with million of members using their network on regular basis to communicate, share , create and collaborate with others. In this paper we explore the phenomenon of using social networking site to trace a link of the search from the community of users for bett...

Medical Institutions and Twitter: A Novel Tool for Public Communication in Japan

Science.gov (United States)

Sugawara, Yuya; Tsuya, Atsushi; Tanaka, Atsushi; Fukao, Akira

2016-01-01

Background Twitter is a free social networking and microblogging service on the Internet. Medical professionals and patients have started to use Twitter in medicine. Twitter use by medical institutions can interactively and efficiently provide public health information and education for laypeople. Objective This study examined Twitter usage by medical institutions. Methods We reviewed all Japanese user accounts in which the names of medical institutions were described in the user’s Twitter profile. We then classified medical institutions’ tweets by content. Results We extracted 168 accounts for medical institutions with ≥500 followers. The medical specialties of those accounts were dentistry and oral surgery (n=73), dermatology (n=12), cosmetic surgery (n=10), internal medicine (n=10), ophthalmology (n=6), obstetrics and gynecology (n=5), plastic surgery (n=2), and others (n=50). Of these, 21 accounts tweeted medical knowledge and 45 accounts tweeted guidance about medical practice and consultation hours, including advertisements. In the dentistry and oral surgery accounts, individual behavior or thinking was the most frequent (22/71, 31%) content. On the other hand, consultation including advertisements was the most frequent (14/23, 61%) in cosmetic surgery, plastic surgery, and dermatology. Conclusions Some medical specialties used Twitter for disseminating medical knowledge or guidance including advertisements. This indicates that Twitter potentially can be used for various purposes by different medical specialties. PMID:27227154

Army Social Media: Harnessing the Power of Networked Communications

Science.gov (United States)

2011-09-01

Social Networking : – Facebook – MySpace – Friendster 9/1/2011 Content sharing: -You Tube -Flickr -Vimeo -Photobucket Collaborating/ knowledge...Americans use social media tools and Web sites monthly Social networking is now the #1 activity on the web • Twitter: 54 Million users • Facebook ...anyone you don’t know on Facebook or social networking platforms -Don’t post deployment information, when you’re going on vacation or when

A language-based approach to modelling and analysis of Twitter interactions

DEFF Research Database (Denmark)

Maggi, Alessandro; Petrocchi, Marinella; Spognardi, Angelo

2017-01-01

More than a personal microblogging site, Twitter has been transformed by common use to an information publishing venue, which public characters, media channels and common people daily rely on for, e.g., news reporting and consumption, marketing, and social messaging. The use of Twitter...... in a cooperative and interactive setting calls for the precise awareness of the dynamics regulating message spreading. In this paper, we describe Twitlang, a language for modelling the interactions among Twitter accounts. The associated operational semantics allows users to precisely determine the effects...... of their actions on Twitter, such as post, reply-to or delete tweets. The language is implemented in the form of a Maude interpreter, Twitlanger, which takes a language term as an input and explores the computations arising from the term. By combining the strength of Twitlanger and the Maude model checker...

Pareto distance for multi-layer network analysis

DEFF Research Database (Denmark)

Magnani, Matteo; Rossi, Luca

2013-01-01

services, e.g., Facebook, Twitter, LinkedIn and Foursquare. As a result, the analysis of on-line social networks requires a wider scope and, more technically speaking, models for the representation of this fragmented scenario. The recent introduction of more realistic layered models has however determined......Social Network Analysis has been historically applied to single networks, e.g., interaction networks between co-workers. However, the advent of on-line social network sites has emphasized the stratified structure of our social experience. Individuals usually spread their identities over multiple...

New Practices in Doing Academic Development: Twitter as an Informal Learning Space

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McPherson, Megan; Budge, Kylie; Lemon, Narelle

2015-01-01

Using social media platforms to build informal learning processes and social networks is significant in academic development practices within higher education. We present three vignettes illustrating academic practices occurring on Twitter to show that using social media is beneficial for building networks of academics, locally and globally,…

Staying Safe on Social Network Sites

Science.gov (United States)

... Tips Security Tip (ST06-003) Staying Safe on Social Networking Sites Original release date: January 26, 2011 | Last revised: ... so you should take certain precautions. What are social networking sites? Social networking sites, sometimes referred to as "friend- ...

Social Networking: Product or Process and What Shade of Grey?

OpenAIRE

Gelfand, Julia (UCI); Lin, Anthony (UCI); GreyNet, Grey Literature Network Service

2011-01-01

Social networking which debuted in 1997 is now an established and common method of communication with much variation and is increasingly related to and supportive of academic publishing, scholarship and generating new information. Some of the most mature and popular sites are Facebook, Bebo, Twitter, Linked-In and Plaxo plus many more specialized examples. As many professional societies and individuals choose to develop a presence on social networking sites (SNSs), the utility of them has b...

Twitter and society

CERN Document Server

Weller, Katrin; Burgess, Jean; Mahrt, Merja

2013-01-01

Since its launch in 2006, Twitter has evolved from a niche service to a mass phenomenon; it has become instrumental for everyday communication as well as for political debates, crisis communication, marketing, and cultural participation. But the basic idea behind it has stayed the same: users may post short messages (tweets) of up to 140 characters and follow the updates posted by other users. Drawing on the experience of leading international Twitter researchers from a variety of disciplines and contexts, this is the first book to document the various notions and concepts of Twitter communica

Outreach for Outreach: Targeting social media audiences to promote a NASA kids’ web site

Science.gov (United States)

Pham, C. C.

2009-12-01

The Space Place is a successful NASA web site that benefits upper elementary school students and educators by providing games, activities, and resources to stimulate interest in science, technology, engineering, and mathematics, as well as to inform the audience of NASA’s contributions. As online social networking grows to be a central component of modern communication, The Space Place has explored the benefits of integrating social networks with the web site to increase awareness of materials the web site offers. This study analyzes the capabilities of social networks, and specifically the demographics of Twitter and Facebook. It then compares these results with the content, audience, and perceived demographics of The Space Place web site. Based upon the demographic results, we identified a target constituency that would benefit from the integration of social networks into The Space Place web site. As a result of this study, a Twitter feed has been established that releases a daily tweet from The Space Place. In addition, a Facebook page has been created to showcase new content and prompt interaction among fans of The Space Place. Currently, plans are under way to populate the Space Place Facebook page. Each social network has been utilized in an effort to spark excitement about the content on The Space Place, as well as to attract followers to the main NASA Space Place web site. To pursue this idea further, a plan has been developed to promote NASA Space Place’s social media tools among the target audience.

Profiling Twitter Activists: The Protests Against the Republic of Croatia’s Government

Directory of Open Access Journals (Sweden)

Mato Brautović

2012-06-01

Full Text Available Twitter s a social network and a microblogging service. Examples from Iran, Tunisia and Egypt have shown the possibilities of using Twitter as a platform for activism. This research looks at the manner in which Croatian activists use this tool and how such users and uses are distinct from average users. This paper establishes that activist users differ vastly from average Twitter users. Activist users have a significantly higher number of friends and followers. An increase in the number of friends leads to an increase in the number of followers (and vice versa. In addition, activist users publish a large number of posts regardless of their follower number, even though that number is significantly higher than that of friends. Activist users forward interesting information more often, while they disregard Twitter as a tool for conversation or coordination. Still, activist users and average users are similar in regard to the poster’s profile and posting quantity. Both categories of users follow the power-law distribution.

Informative television and mobility. News analysis of the most followed through twitter

Directory of Open Access Journals (Sweden)

Leire GÓMEZ RUBIO

2016-12-01

Full Text Available Social networks such as Facebook and Twitter, and mobile applications such as Periscope, Snapchat, Whatsapp, among others, are some of the emerging ways of communication and access to information in recent times, for both general users and professionals of the information. Technological advances and innovations derived mainly from the web 2.0 have added new screens to traditional media, so that the newspaper can not only be read, but now also can be seen and heard, while television, besides been seen and heard, also read. To this, mobility and portability is added, as demanded by users today, and in which the mobile screen has a prominent role and influence, especially because of social networks. This contribution describes which is the production and consumption of news that comes from the information provided by the principal generalist television channels in Spain through the most mobile social network, Twitter.

Social Medicine: Twitter in Healthcare.

Science.gov (United States)

Pershad, Yash; Hangge, Patrick T; Albadawi, Hassan; Oklu, Rahmi

2018-05-28

Social media enables the public sharing of information. With the recent emphasis on transparency and the open sharing of information between doctors and patients, the intersection of social media and healthcare is of particular interest. Twitter is currently the most popular form of social media used for healthcare communication; here, we examine the use of Twitter in medicine and specifically explore in what capacity using Twitter to share information on treatments and research has the potential to improve care. The sharing of information on Twitter can create a communicative and collaborative atmosphere for patients, physicians, and researchers and even improve quality of care. However, risks involved with using Twitter for healthcare discourse include high rates of misinformation, difficulties in verifying the credibility of sources, overwhelmingly high volumes of information available on Twitter, concerns about professionalism, and the opportunity cost of using physician time. Ultimately, the use of Twitter in healthcare can allow patients, healthcare professionals, and researchers to be more informed, but specific guidelines for appropriate use are necessary.

Twittering About Research: A Case Study of the World’s First Twitter Poster Competition [version 1; referees: 2 approved

Directory of Open Access Journals (Sweden)

Edward P. Randviir

2015-09-01

Full Text Available The Royal Society of Chemistry held, to our knowledge, the world’s first Twitter conference at 9am on February 5th, 2015. This paper reports the details of the event and discusses the outcomes, such as the potential for the use of social media to enhance scientific communication at conferences. In particular, the present work argues that social media outlets such as Twitter broaden audiences, speed up communication, and force clearer and more concise descriptions of a researcher’s work. The benefits of poster presentations are also discussed in terms of potential knowledge exchange and networking. This paper serves as a proof-of-concept approach for improving both the public opinion of the poster, and the enhancement of the poster through an innovative online format that some may feel more comfortable with, compared to face-to-face communication.

Quantifying the role of online news in linking conservation research to Facebook and Twitter.

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Papworth, S K; Nghiem, T P L; Chimalakonda, D; Posa, M R C; Wijedasa, L S; Bickford, D; Carrasco, L R

2015-06-01

Conservation science needs to engage the general public to ensure successful conservation interventions. Although online technologies such as Twitter and Facebook offer new opportunities to accelerate communication between conservation scientists and the online public, factors influencing the spread of conservation news in online media are not well understood. We explored transmission of conservation research through online news articles with generalized linear mixed-effects models and an information theoretic approach. In particular, we assessed differences in the frequency conservation research is featured on online news sites and the impact of online conservation news content and delivery on Facebook likes and shares and Twitter tweets. Five percent of articles in conservation journals are reported in online news, and the probability of reporting depended on the journal. There was weak evidence that articles on climate change and mammals were more likely to be featured. Online news articles about charismatic mammals with illustrations were more likely to be shared or liked on Facebook and Twitter, but the effect of news sites was much larger. These results suggest journals have the greatest impact on which conservation research is featured and that news site has the greatest impact on how popular an online article will be on Facebook and Twitter. © 2015 Society for Conservation Biology.

Extraction of unexpected rules from Twitter hashtags and its application to sport events

OpenAIRE

Adedoyin-Olowe, Mariam; Gaber, Mohamed Medhat; Dancausa, Carlos Martin; Stahl, Frederic

2014-01-01

Twitter has become a dependable microblogging tool for real time information dissemination and newsworthy events broadcast. Its users sometimes break news on the network faster than traditional newsagents due to their presence at ongoing real life events at most times. Different topic detection methods are currently used to match Twitter posts to real life news of mainstream media. In this paper, we analyse tweets relating to the English FA Cup finals 2012 by applying our novel method named T...

Dealing with big data: The case of Twitter

NARCIS (Netherlands)

Tjong Kim Sang, E.; van den Bosch, A.

2013-01-01

As data sets keep growing, computational linguists are experiencing more big data problems: challenging demands on storage and processing caused by very large data sets. An example of this is dealing with social media data: including metadata, the messages of the social media site Twitter in 2012

Exploring Social Networking: Developing Critical Literacies

Science.gov (United States)

Watson, Pauline

2012-01-01

While schools have been using computers within their classrooms for years now, there has been a purposeful ignoring of the growing power of social networks such as Facebook and Twitter. Many schools ban students from accessing and using sites such as Facebook at school and many English and literacy teachers ignore or deny their value as a teaching…

Reverse Engineering Socialbot Infiltration Strategies in Twitter

OpenAIRE

Freitas, Carlos A.; Benevenuto, Fabrício; Ghosh, Saptarshi; Veloso, Adriano

2014-01-01

Data extracted from social networks like Twitter are increasingly being used to build applications and services that mine and summarize public reactions to events, such as traffic monitoring platforms, identification of epidemic outbreaks, and public perception about people and brands. However, such services are vulnerable to attacks from socialbots $-$ automated accounts that mimic real users $-$ seeking to tamper statistics by posting messages generated automatically and interacting with le...

Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter

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Duc T. Nguyen

2014-01-01

Full Text Available Social network services (e.g., Twitter and Facebook can be regarded as social sensors which can capture a number of events in the society. Particularly, in terms of time and space, various smart devices have improved the accessibility to the social network services. In this paper, we present a social software platform to detect a number of meaningful events from information diffusion patterns on such social network services. The most important feature is to process the social sensor signal for understanding social events and to support users to share relevant information along the social links. The platform has been applied to fetch and cluster tweets from Twitter into relevant categories to reveal hot topics.

Privacy-preserving discovery of topic-based events from social sensor signals: an experimental study on Twitter.

Science.gov (United States)

Nguyen, Duc T; Jung, Jai E

2014-01-01

Social network services (e.g., Twitter and Facebook) can be regarded as social sensors which can capture a number of events in the society. Particularly, in terms of time and space, various smart devices have improved the accessibility to the social network services. In this paper, we present a social software platform to detect a number of meaningful events from information diffusion patterns on such social network services. The most important feature is to process the social sensor signal for understanding social events and to support users to share relevant information along the social links. The platform has been applied to fetch and cluster tweets from Twitter into relevant categories to reveal hot topics.

Twitter Analytics: Are the U.S. Coastal Regions Prepared for Climate Change in 2017?

Science.gov (United States)

Singleton, S. L.; Kumar, S.

2017-12-01

According to the U.S. National Climate Assessment, the Southeast Coast and Gulf Coast of the United States are particularly susceptible to sea level rise, heat waves, hurricanes and less accessibility to clean water due to climate change. This is because of the extreme variation of topography in these two regions. Preparation for climate change consequences can only occur with conversation, which is a method of bringing awareness to the issue. Over the past decade, social media has taken over the spectrum of information exchange in the United States. Social Network Analysis (SNA) is a field that is emerging with the growth in popularity of social media. SNA is the practice of analyzing trends in volume and opinion of a population of social media users. Twitter, one popular social media platform, is one of the largest microblogging sites in the world, and it provides an abundance of data related to the trending topics such as climate change. Twitter analytics is a type of SNA performed on data from the tweets of Twitter users. In this work, Twitter analytics is performed on the data generated from the Twitter users in the United States, who were talking about climate change, global warming and/or CO2, over the course of one year (July 2016 - June 2017). Specifically, a regional comparative analysis on the coastal U.S. regions was conducted to recognize which region(s) is/are falling behind on the conversation about climate change. Sentiment analysis was also performed to understand the trends in opinion about climate change that vary over time. Experimental results determined that the southeast coast of the United States is deficient in their discussion about climate change compared to the other coastal regions. Igniting the conversation about this issue in these regions will mitigate the disasters due to climate change by increasing awareness in the people of these regions so they can properly prepare.

Etiquetagem de micromensagens no Twitter : uma abordagem linguística

NARCIS (Netherlands)

Landulfo, Teixeira P Cunha E.

2012-01-01

Hashtags are labels used by Twitter members in order to classify messages posted in this social network. They are produced by the users themselves without any interference from the platform, which generates interest in studying them as linguistic elements since the appointment of a hashtag is

Activists’ appropriations in social networking websites: the collective action dynamics in #forasarney

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BATISTA, Jandré Corrêa

2013-01-01

Full Text Available This paper aims to study the appropriation of Twitter (twitter.com for activists ends. To this end, we intend to present the analysis of intentionality (Thompson, 2000 of symbolic forms perceived in the appropriations social networking site (Boyd and Elisson, 2006 in case # forasarney. From the Depth Hermeneutics of Thompson (2000, the study interprets five intentions: convocacional, informational, divulgacional, feedback and conversational. The messages were classified by analyzing categorical content analysis of Bardin (2009,interpreted in accordance with its purposes.

What do computer scientists tweet? Analyzing the link-sharing practice on Twitter.

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Marco Schmitt

Full Text Available Twitter communication has permeated every sphere of society. To highlight and share small pieces of information with possibly vast audiences or small circles of the interested has some value in almost any aspect of social life. But what is the value exactly for a scientific field? We perform a comprehensive study of computer scientists using Twitter and their tweeting behavior concerning the sharing of web links. Discerning the domains, hosts and individual web pages being tweeted and the differences between computer scientists and a Twitter sample enables us to look in depth at the Twitter-based information sharing practices of a scientific community. Additionally, we aim at providing a deeper understanding of the role and impact of altmetrics in computer science and give a glance at the publications mentioned on Twitter that are most relevant for the computer science community. Our results show a link sharing culture that concentrates more heavily on public and professional quality information than the Twitter sample does. The results also show a broad variety in linked sources and especially in linked publications with some publications clearly related to community-specific interests of computer scientists, while others with a strong relation to attention mechanisms in social media. This refers to the observation that Twitter is a hybrid form of social media between an information service and a social network service. Overall the computer scientists' style of usage seems to be more on the information-oriented side and to some degree also on professional usage. Therefore, altmetrics are of considerable use in analyzing computer science.

What do computer scientists tweet? Analyzing the link-sharing practice on Twitter.

Science.gov (United States)

Schmitt, Marco; Jäschke, Robert

2017-01-01

Twitter communication has permeated every sphere of society. To highlight and share small pieces of information with possibly vast audiences or small circles of the interested has some value in almost any aspect of social life. But what is the value exactly for a scientific field? We perform a comprehensive study of computer scientists using Twitter and their tweeting behavior concerning the sharing of web links. Discerning the domains, hosts and individual web pages being tweeted and the differences between computer scientists and a Twitter sample enables us to look in depth at the Twitter-based information sharing practices of a scientific community. Additionally, we aim at providing a deeper understanding of the role and impact of altmetrics in computer science and give a glance at the publications mentioned on Twitter that are most relevant for the computer science community. Our results show a link sharing culture that concentrates more heavily on public and professional quality information than the Twitter sample does. The results also show a broad variety in linked sources and especially in linked publications with some publications clearly related to community-specific interests of computer scientists, while others with a strong relation to attention mechanisms in social media. This refers to the observation that Twitter is a hybrid form of social media between an information service and a social network service. Overall the computer scientists' style of usage seems to be more on the information-oriented side and to some degree also on professional usage. Therefore, altmetrics are of considerable use in analyzing computer science.

Twitter: A Novel Tool for Studying the Health and Social Needs of Transgender Communities.

Science.gov (United States)

Krueger, Evan A; Young, Sean D

2015-01-01

Limited research has examined the health and social needs of transgender and gender nonconforming populations. Due to high levels of stigma, transgender individuals may avoid disclosing their identities to researchers, hindering this type of work. Further, researchers have traditionally relied on clinic-based sampling methods, which may mask the true heterogeneity of transgender and gender nonconforming communities. Online social networking websites present a novel platform for studying this diverse, difficult-to-reach population. The objective of this study was to attempt to examine the perceived health and social needs of transgender and gender nonconforming communities by examining messages posted to the popular microblogging platform, Twitter. Tweets were collected from 13 transgender-related hashtags on July 11, 2014. They were read and coded according to general themes addressed, and a content analysis was performed. Qualitative and descriptive statistics are presented. There were 1135 tweets that were collected in total. Both "positive" and "negative" events were discussed, in both personal and social contexts. Violence, discrimination, suicide, and sexual risk behavior were discussed. There were 34.36% (390/1135) of tweets that addressed transgender-relevant current events, and 60.79% (690/1135) provided a link to a relevant news article or resource. This study found that transgender individuals and allies use Twitter to discuss health and social needs relevant to the population. Real-time social media sites like Twitter can be used to study issues relevant to transgender communities.

Twitter data analytics

CERN Document Server

Bruns, Axel; Lewandowski, Dirk

2014-01-01

It might still sound strange to dedicate an entire ebook exclusively to a single Internet platform. But it is not the company Twitter, Inc. that is the focus; this ebook is not about a platform and its features and services. It is about its users and the ways in which they interact with one another via the platform, about the situations that motivate people to share their thoughts publicly, using Twitter as a means to reach out to one another. And it is about the digital traces people leave behind when interacting with Twitter, and most of all about the ways in which these traces - as a new ty

Semantic Sentiment Analysis of Twitter Data

OpenAIRE

Nakov, Preslav

2017-01-01

Internet and the proliferation of smart mobile devices have changed the way information is created, shared, and spreads, e.g., microblogs such as Twitter, weblogs such as LiveJournal, social networks such as Facebook, and instant messengers such as Skype and WhatsApp are now commonly used to share thoughts and opinions about anything in the surrounding world. This has resulted in the proliferation of social media content, thus creating new opportunities to study public opinion at a scale that...

Qotd, por @umairh: a inteligência coletiva no Twitter

Directory of Open Access Journals (Sweden)

Renata Lemos

2010-07-01

Full Text Available Este artigo analisa o uso inovador do site de microblogging Twitter, como um espaço de dinâmicas sociais de inteligência coletiva e de articulação de design colaborativo internacional de idéias em tempo real. Tendo a etnografia digital como base metodológica, foi efetuada a observação do processo de evolução de comunidades internacionais móveis a partir do entrelaçamento social permitido pelas funcionalidades e aplicativos do Twitter. A dinâmica qotd de inteligência coletiva, elaborada por Umair Haque, serve de referência principal à análise das implicações práticas e teóricas das redes de interação multimodal dentro do Twitter, apontando para as mutações contemporâneas das estratégias de sociabilidade, na direção de uma transcultura de dimensões globais, articulada através das redes sociais.

Twitter-Based EFL Pronunciation Instruction

Science.gov (United States)

Mompean, José Antonio; Fouz-González, Jonás

2016-01-01

This paper looks at the use of "Twitter" as a language teaching/learning tool. It describes the results of a study aimed at testing "Twitter's" effectiveness for pronunciation teaching. The purpose of the study was to determine whether "Twitter" can foster online participation and whether it may have a positive effect…

Characterizing the followers and tweets of a marijuana-focused Twitter handle.

Science.gov (United States)

Cavazos-Rehg, Patricia; Krauss, Melissa; Grucza, Richard; Bierut, Laura

2014-06-27

Twitter is a popular social media forum for sharing personal experiences, interests, and opinions. An improved understanding of the discourse on Twitter that encourages marijuana use can be helpful for tailoring and targeting online and offline prevention messages. The intent of the study was to assess the content of "tweets" and the demographics of followers of a popular pro-marijuana Twitter handle (@stillblazingtho). We assessed the sentiment and content of tweets (sent from May 1 to December 31, 2013), as well as the demographics of consumers that follow a popular pro-marijuana Twitter handle (approximately 1,000,000 followers) using Twitter analytics from Demographics Pro. This analytics company estimates demographic characteristics based on Twitter behavior/usage, relying on multiple data signals from networks, consumption, and language and requires confidence of 95% or above to make an estimate of a single demographic characteristic. A total of 2590 tweets were sent from @stillblazingtho during the 8-month period and 305 (11.78%) replies to another Twitter user were excluded for qualitative analysis. Of the remaining 2285 tweets, 1875 (82.06%) were positive about marijuana, 403 (17.64%) were neutral, and 7 (0.31%) appeared negative about marijuana. Approximately 1101 (58.72%) of the positive marijuana tweets were perceived as jokes or humorous, 340 (18.13%) implied that marijuana helps you to feel good or relax, 294 (15.68%) mentioned routine, frequent, or heavy use, 193 (10.29%) mentioned blunts, marijuana edibles, or paraphernalia (eg, bongs, vaporizers), and 186 (9.92%) mentioned other risky health behaviors (eg, tobacco, alcohol, other drugs, sex). The majority (699,103/959,143; 72.89%) of @stillblazingtho followers were 19 years old or younger. Among people ages 17 to 19 years, @stillblazingtho was in the top 10% of all Twitter handles followed. More followers of @stillblazingtho in the United States were African American (323,107/759,407; 42.55%) or

Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle

Science.gov (United States)

Krauss, Melissa; Grucza, Richard; Bierut, Laura

2014-01-01

Background Twitter is a popular social media forum for sharing personal experiences, interests, and opinions. An improved understanding of the discourse on Twitter that encourages marijuana use can be helpful for tailoring and targeting online and offline prevention messages. Objectives The intent of the study was to assess the content of “tweets” and the demographics of followers of a popular pro-marijuana Twitter handle (@stillblazingtho). Methods We assessed the sentiment and content of tweets (sent from May 1 to December 31, 2013), as well as the demographics of consumers that follow a popular pro-marijuana Twitter handle (approximately 1,000,000 followers) using Twitter analytics from Demographics Pro. This analytics company estimates demographic characteristics based on Twitter behavior/usage, relying on multiple data signals from networks, consumption, and language and requires confidence of 95% or above to make an estimate of a single demographic characteristic. Results A total of 2590 tweets were sent from @stillblazingtho during the 8-month period and 305 (11.78%) replies to another Twitter user were excluded for qualitative analysis. Of the remaining 2285 tweets, 1875 (82.06%) were positive about marijuana, 403 (17.64%) were neutral, and 7 (0.31%) appeared negative about marijuana. Approximately 1101 (58.72%) of the positive marijuana tweets were perceived as jokes or humorous, 340 (18.13%) implied that marijuana helps you to feel good or relax, 294 (15.68%) mentioned routine, frequent, or heavy use, 193 (10.29%) mentioned blunts, marijuana edibles, or paraphernalia (eg, bongs, vaporizers), and 186 (9.92%) mentioned other risky health behaviors (eg, tobacco, alcohol, other drugs, sex). The majority (699,103/959,143; 72.89%) of @stillblazingtho followers were 19 years old or younger. Among people ages 17 to 19 years, @stillblazingtho was in the top 10% of all Twitter handles followed. More followers of @stillblazingtho in the United States were

Twitter for travel medicine providers.

Science.gov (United States)

Mills, Deborah J; Kohl, Sarah E

2016-03-01

Travel medicine practitioners, perhaps more so than medical practitioners working in other areas of medicine, require a constant flow of information to stay up-to-date, and provide best practice information and care to their patients. Many travel medicine providers are unaware of the popularity and potential of the Twitter platform. Twitter use among our travellers, as well as by physicians and health providers, is growing exponentially. There is a rapidly expanding body of published literature on this information tool. This review provides a brief overview of the ways Twitter is being used by health practitioners, the advantages that are peculiar to Twitter as a platform of social media, and how the interested practitioner can get started. Some key points about the dark side of Twitter are highlighted, as well as the potential benefits of using Twitter as a way to disseminate accurate medical information to the public. This article will help readers develop an increased understanding of Twitter as a tool for extracting useful facts and insights from the ever increasing volume of health information. © International Society of Travel Medicine, 2016. All rights reserved. Published by Oxford University Press. For permissions, please e-mail: journals.permissions@oup.com.

Multi-class machine classification of suicide-related communication on Twitter.

Science.gov (United States)

Burnap, Pete; Colombo, Gualtiero; Amery, Rosie; Hodorog, Andrei; Scourfield, Jonathan

2017-08-01

The World Wide Web, and online social networks in particular, have increased connectivity between people such that information can spread to millions of people in a matter of minutes. This form of online collective contagion has provided many benefits to society, such as providing reassurance and emergency management in the immediate aftermath of natural disasters. However, it also poses a potential risk to vulnerable Web users who receive this information and could subsequently come to harm. One example of this would be the spread of suicidal ideation in online social networks, about which concerns have been raised. In this paper we report the results of a number of machine classifiers built with the aim of classifying text relating to suicide on Twitter. The classifier distinguishes between the more worrying content, such as suicidal ideation, and other suicide-related topics such as reporting of a suicide, memorial, campaigning and support. It also aims to identify flippant references to suicide. We built a set of baseline classifiers using lexical, structural, emotive and psychological features extracted from Twitter posts. We then improved on the baseline classifiers by building an ensemble classifier using the Rotation Forest algorithm and a Maximum Probability voting classification decision method, based on the outcome of base classifiers. This achieved an F-measure of 0.728 overall (for 7 classes, including suicidal ideation) and 0.69 for the suicidal ideation class. We summarise the results by reflecting on the most significant predictive principle components of the suicidal ideation class to provide insight into the language used on Twitter to express suicidal ideation. Finally, we perform a 12-month case study of suicide-related posts where we further evaluate the classification approach - showing a sustained classification performance and providing anonymous insights into the trends and demographic profile of Twitter users posting content of this type.

How Twitter Is Studied in the Medical Professions: A Classification of Twitter Papers Indexed in PubMed.

Science.gov (United States)

Williams, Shirley Ann; Terras, Melissa; Warwick, Claire

2013-01-01

Since their inception, Twitter and related microblogging systems have provided a rich source of information for researchers and have attracted interest in their affordances and use. Since 2009 PubMed has included 123 journal articles on medicine and Twitter, but no overview exists as to how the field uses Twitter in research. This paper aims to identify published work relating to Twitter within the fields indexed by PubMed, and then to classify it. This classification will provide a framework in which future researchers will be able to position their work, and to provide an understanding of the current reach of research using Twitter in medical disciplines. Papers on Twitter and related topics were identified and reviewed. The papers were then qualitatively classified based on the paper's title and abstract to determine their focus. The work that was Twitter focused was studied in detail to determine what data, if any, it was based on, and from this a categorization of the data set size used in the studies was developed. Using open coded content analysis additional important categories were also identified, relating to the primary methodology, domain, and aspect. As of 2012, PubMed comprises more than 21 million citations from biomedical literature, and from these a corpus of 134 potentially Twitter related papers were identified, eleven of which were subsequently found not to be relevant. There were no papers prior to 2009 relating to microblogging, a term first used in 2006. Of the remaining 123 papers which mentioned Twitter, thirty were focused on Twitter (the others referring to it tangentially). The early Twitter focused papers introduced the topic and highlighted the potential, not carrying out any form of data analysis. The majority of published papers used analytic techniques to sort through thousands, if not millions, of individual tweets, often depending on automated tools to do so. Our analysis demonstrates that researchers are starting to use knowledge

How Twitter Is Studied in the Medical Professions: A Classification of Twitter Papers Indexed in PubMed

Science.gov (United States)

2013-01-01

Background Since their inception, Twitter and related microblogging systems have provided a rich source of information for researchers and have attracted interest in their affordances and use. Since 2009 PubMed has included 123 journal articles on medicine and Twitter, but no overview exists as to how the field uses Twitter in research. Objective This paper aims to identify published work relating to Twitter within the fields indexed by PubMed, and then to classify it. This classification will provide a framework in which future researchers will be able to position their work, and to provide an understanding of the current reach of research using Twitter in medical disciplines. Methods Papers on Twitter and related topics were identified and reviewed. The papers were then qualitatively classified based on the paper’s title and abstract to determine their focus. The work that was Twitter focused was studied in detail to determine what data, if any, it was based on, and from this a categorization of the data set size used in the studies was developed. Using open coded content analysis additional important categories were also identified, relating to the primary methodology, domain, and aspect. Results As of 2012, PubMed comprises more than 21 million citations from biomedical literature, and from these a corpus of 134 potentially Twitter related papers were identified, eleven of which were subsequently found not to be relevant. There were no papers prior to 2009 relating to microblogging, a term first used in 2006. Of the remaining 123 papers which mentioned Twitter, thirty were focused on Twitter (the others referring to it tangentially). The early Twitter focused papers introduced the topic and highlighted the potential, not carrying out any form of data analysis. The majority of published papers used analytic techniques to sort through thousands, if not millions, of individual tweets, often depending on automated tools to do so. Our analysis demonstrates that

Digital diplomacy in GCC countries: strategic communication of Western embassies on Twitter

NARCIS (Netherlands)

Strauß, N.; Kruikemeier, S.; van der Meulen, H.; van Noort, G.

2015-01-01

Drawing upon online communication research, this study identifies six effective communication strategies for social media-based diplomacy on Twitter: interactive, personalized, positive, relevant, and transparent communication among a broad network of stakeholders. By using an extensive mix-method

Twitter for Libraries (and Librarians)

Science.gov (United States)

Milstein, Sarah

2009-01-01

For many people, the word "twitter" brings to mind birds rather than humans. But information professionals know that Twitter (www.twitter.com) is a fast-growing, free messaging service for people, and it's one that libraries (and librarians) can make good use of--without spending much time or effort. This article discusses the many potential uses…

Discover Patterns and Mobility of Twitter Users—A Study of Four US College Cities

Directory of Open Access Journals (Sweden)

Yue Li

2017-02-01

Full Text Available Geo-tagged tweets provide useful implications for studies in human geography, urban science, location-based services, targeted advertising, and social network. This research aims to discover the patterns and mobility of Twitter users by analyzing the spatial and temporal dynamics in their tweets. Geo-tagged tweets are collected over a period of six months for four US Midwestern college cities: (1 West Lafayette, IN; (2 Bloomington, IN; (3 Ann Arbor, MI; (4 Columbus, OH. Various analytical and statistical methods are used to reveal the spatial and temporal patterns of tweets, and the tweeting behaviors of Twitter users. It is discovered that Twitter users are most active between 9:00 pm and 11:00 pm. In smaller cities, tweets aggregate at campuses and apartment complexes, while tweets in residential areas of bigger cities make up the majority of tweets. We also found that most Twitter users have two to four places of frequent visits. The mean mobility range of frequent Twitter users is linearly correlated to the size of the city, specifically, about 40% of the city radius. The research therefore confirms the feasibility and promising future for using geo-tagged microblogging services such as Twitter to understand human behavior patterns and carry out other geo-social related studies.

Understanding the Demographics of Twitter Users

DEFF Research Database (Denmark)

Mislove, Alan; Jørgensen, Sune Lehmann; Ahn, Yong-Yeol

2011-01-01

Every second, the thoughts and feelings of millions of people across the world are recorded in the form of 140-character tweets using Twitter. However, despite the enormous potential presented by this remarkable data source, we still do not have an understanding of the Twitter population itself......: Who are the Twitter users? How representative of the overall population are they? In this paper, we take the first steps towards answering these questions by analyzing data on a set of Twitter users representing over 1% of the U.S. population. We develop techniques that allow us to compare the Twitter...... population to the U.S. population along three axes (geography, gender, and race/ethnicity), and find that the Twitter population is a highly non-uniform sample of the population....

#publicrelations on Twitter: Pushers, Talkers, Influencers on Spamming PR and Job Hunting

Directory of Open Access Journals (Sweden)

Ana Adi

2015-12-01

Full Text Available A space generally associated with marketers and breaking news (Hobsbawn, 2009 cited in Evans, Twomey & Talan, 2011, Twitter has also become a space debate, community building and legitimization for companies and social movements alike. The academic literature has seen a rise in interest in the micro-blogging platform. For instance, Adi and Moloney (2012 assess the strategic uses of Twitter by protest groups, Adi, Erickson and Lilleker (2014 reflect on the networks and use pattern of the same platform by politicians, namely UK Labor party representatives in the House of Lords while Adi and Grigore (2015 analyze the strategic uses of social media by corporations. Bajpai and Jaiswal (2011 on the other hand propose a framework for analyzing collective action events on Twitter and so do the creators behind visual analysis platforms like NodeXL, Gephi, Linkurious and Socioviz. Public Relations research too has provided several reflections and analyses of Twitter. Verhoeven et al (2012 and Sweetsner and Kelleher discuss how practitioners use social media; Lovejoy, Waters and Saxton evaluate how NGO are engaging stakeholders though the new medium, while Saffer, Sommerfeldt and Taylor (2013 suggest that Twitter interactivity influences the quality of organization–public relationships. With questions about the professionalization of Public Relations as well as about the portrayals and perceptions of the profession continuing to intrigue researchers, it is surprising that only Xifra and Grau (2010 looked into the type of information shared in tweets about public relations. Using the Twitter data collection and analysis option from Socioviz this paper provides an exploratory account of the #publicrelations on Twitter. Using the visualizations provided by the platform and automated data analysis to gain insight into over 10,000 tweets published during June 15-24 and July 15-24, this paper qualitatively assesses the emerging themes about public relations

Use of Social Network Sites for Communication Among Health Professionals: Systematic Review.

Science.gov (United States)

Chan, Windy Sy; Leung, Angela Ym

2018-03-28

Although much research has been done investigating the roles of social network sites (SNSs) in linking patients and health professionals, there is a lack of information about their uses, benefits, and limitations in connecting health professions only for professional communication. This review aimed to examine the utilization of SNSs for communication among health professionals in (1) frontline clinical practice, (2) professional networks, and (3) education and training to identify areas for future health communication research. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. A systematic search of the literature published in the last 10 years (January 1, 2007, to March 1, 2017) was performed in March 2017, using the following electronic databases: MEDLINE via OvidSP, EMBASE, CINAHL Complete, and InfoSci-Journals. The searches were conducted using the following defined search terms: "social media" OR "social network" OR "social network site" OR "Facebook" OR "Twitter" OR "Linkedin" OR "Instagram" OR "Weibo" OR "Whatsapp" OR "Telegram" OR "WeChat" AND "health" OR "health profession." Of the 6977 papers retrieved, a total of 33 studies were included in this review. They were exploratory in nature, and the majority used surveys (n=25) and interviews (n=6). All retrieved studies stated that SNSs enhanced effective communication and information sharing. SNSs were used for supporting delivering of clinical services, making referrals, and sharing information. They were beneficial to network building and professional collaboration. SNSs were novel tools to enhance educational interactions among peers, students, instructors, and preceptors. The application of SNSs came with restraints in technical knowledge, concerns on data protection, privacy and liability, issues in professionalism, and data protection. SNSs provide platforms facilitating efficient communication, interactions, and connections among health

Representations of stem cell clinics on Twitter.

Science.gov (United States)

Kamenova, Kalina; Reshef, Amir; Caulfield, Timothy

2014-12-01

The practice of travelling abroad to receive unproven and unregulated stem cell treatments has become an increasingly problematic global phenomenon known as 'stem cell tourism'. In this paper, we examine representations of nine major clinics and providers of such treatments on the microblogging network Twitter. We collected and conducted a content analysis of Twitter posts (n = 363) by these establishments and by other users mentioning them, focusing specifically on marketing claims about treatment procedures and outcomes, discussions of safety and efficacy of stem cell transplants, and specific representations of patients' experiences. Our analysis has shown that there were explicit claims or suggestions of benefits associated with unproven stem cell treatments in approximately one third of the tweets and that patients' experiences, whenever referenced, were presented as invariably positive and as testimonials about the efficacy of stem cell transplants. Furthermore, the results indicated that the tone of most tweets (60.2 %) was overwhelmingly positive and there were rarely critical discussions about significant health risks associated with unproven stem cell therapies. When placed in the context of past research on the problems associated with the marketing of unproven stem cell therapies, this analysis of representations on Twitter suggests that discussions in social media have also remained largely uncritical of the stem cell tourism phenomenon, with inaccurate representations of risks and benefits for patients.

NOTE FOR EDITOR: Twitter As An Educational Environment

OpenAIRE

Selami AYDIN

2014-01-01

The purpose of the study is to present a review of Twitter as an educational environment, as research is relatively new. The reviewed studies have been categorized into three sections: Ø Reasons to use Twitter, Ø Twitter as an educational environment, and Ø some drawbacks. Twitter and language teaching and learning and Twitter and libraries were subtitled under the section of Twitter as an educational environment. To conclude, current literature reflects that Twitter has a positi...

KNOWNET: Exploring Interactive Knowledge Networking across Insurance Supply Chains

OpenAIRE

Grant, Susan

2014-01-01

[EN] Social media has become an extremely powerful phenomenon with millions of users who post status updates, blog, links and pictures on social networking sites such as Facebook, LinkedIn, and Twitter. However, social networking has so far spread mainly among consumers. Businesses are only now beginning to acknowledge the benefits of using social media to enhance employee and supplier collaboration to support new ideas and innovation through knowledge sharing across functions and organizatio...

New Literacies Practices of Teenage "Twitter" Users

Science.gov (United States)

Gleason, Benjamin

2016-01-01

This study is an empirical study into the new literacy practices of five teenage "Twitter" users on Twitter. Qualitative methods were used to describe the most prominent ways of participating on "Twitter." Results indicate that teenagers used "Twitter" for self-expression, communication, friendship maintenance, and…

Twitter Finder

OpenAIRE

Gil Blazquez, Lander

2016-01-01

La aplicación web a desarrollar se llama Twitter Finder. Se trata de una página web en la que cabe destacar como partes más importantes un buscador y un mapa. El usuario podrá hacer búsquedas de una o varias palabras clave a través del buscador. Con la búsqueda realizada y con la ayuda de la API de Twitter, se obtendrán los últimos tweets escritos que contengan el texto de la búsqueda,almacenándolos en la base de datos.

A REVIEW PAPER ON PROFILE CLONE DETECTION IN SOCIAL NETWORKS

OpenAIRE

Akshay Sharma*, Dr. Sanjeev Dhawan, Dr. Kulvinder Singh

2016-01-01

An online social network is used day by day. Social networking is one of the trendiest Internet behaviors, with billions of users from around the humanity. The times use up on public networking sites like facebook, twitter or LinkedIn is frequently increasing at a notable rate. At the similar time, peoples fill their online profile with an overload of information that aims at providing a complete and faultless representation of them. Attackers may duplicate a user’s online existence in the sa...

Twitter web-service for soft agent reporting in persistent surveillance systems

Science.gov (United States)

Rababaah, Haroun; Shirkhodaie, Amir

2010-04-01

Persistent surveillance is an intricate process requiring monitoring, gathering, processing, tracking, and characterization of many spatiotemporal events occurring concurrently. Data associated with events can be readily attained by networking of hard (physical) sensors. Sensors may have homogeneous or heterogeneous (hybrid) sensing modalities with different communication bandwidth requirements. Complimentary to hard sensors are human observers or "soft sensors" that can report occurrences of evolving events via different communication devices (e.g., texting, cell phones, emails, instant messaging, etc.) to the command control center. However, networking of human observers in ad-hoc way is rather a difficult task. In this paper, we present a Twitter web-service for soft agent reporting in persistent surveillance systems (called Web-STARS). The objective of this web-service is to aggregate multi-source human observations in hybrid sensor networks rapidly. With availability of Twitter social network, such a human networking concept can not only be realized for large scale persistent surveillance systems (PSS), but also, it can be employed with proper interfaces to expedite rapid events reporting by human observers. The proposed technique is particularly suitable for large-scale persistent surveillance systems with distributed soft and hard sensor networks. The efficiency and effectiveness of the proposed technique is measured experimentally by conducting several simulated persistent surveillance scenarios. It is demonstrated that by fusion of information from hard and soft agents improves understanding of common operating picture and enhances situational awareness.

The net neutrality debate on Twitter

Directory of Open Access Journals (Sweden)

Wolf J. Schünemann

2015-12-01

Full Text Available The internet has been seen as a medium that empowers individual political actors in relation to established political elites and media gatekeepers. The present article discusses this “net empowerment hypothesis” and tests it empirically by analysing Twitter communication on the regulation of net neutrality. We extracted 503.839 tweets containing #NetNeutrality posted between January and March 2015 and analysed central developments and the network structure of the debate. The empirical results show that traditional actors from media and politics still maintain a central role.

An Analysis of the Differences between Student Age and Social Networking Utilization within a School of Business

Science.gov (United States)

Zula, Ken; Yarrish, Karen K.; Pawelzik, Walter

2011-01-01

Social networking sites such as Facebook, LinkedIn, and Twitter are widely regarded as an exciting opportunity to communicate with friends, especially for college students. The overall response to social networking tends to be one of trust regarding a generation that, supposedly has many friends but little sense of privacy. Employers use social…

Emerging adults' use of alcohol and social networking sites during a large street festival: A real-time interview study.

Science.gov (United States)

Whitehill, Jennifer M; Pumper, Megan A; Moreno, Megan A

2015-05-20

Emerging adults have high rates of heavy episodic drinking (binge drinking) and related risks including alcohol-impaired driving. To understand whether social networking sites (SNSs) used on mobile devices represent a viable platform for real-time interventions, this study measured emerging adults' use of two popular SNSs (Facebook and Twitter) during the Mifflin Street Block Party. This annual festival is held in Madison, Wisconsin and is known for high alcohol consumption. Event attendees ages 18-23 years were recruited by young adult research assistants (>21 years). Participants completed a brief in-person interview assessing drinking intensity, use of SNSs, and use of SNSs to plan transportation. Analyses included t-tests, chi-squared tests, and Fisher's exact tests. At the event, nearly all of the 200 participants (97 %) consumed alcohol and 18 % met criteria for heavy episodic drinking. Approximately one-third of participants had used Facebook or Twitter on the day of the event. Facebook use (23 %) was more prevalent than Twitter use (18 %), especially among heavy episodic drinkers. Use of either SNS was 41 % among females and 24 % among males (χ (2)=6.01; df=1; p=0.01). Plans to use a SNS to arrange transportation were relatively uncommon (4 %), but this was more frequent among heavy episodic drinkers (11 %) compared to non-heavy episodic drinkers (2 %) (Fisher's exact p=0.02). These results indicate that SNSs are used during alcohol consumption and warrant exploration as a way to facilitate connections to resources like safe ride services.

Evidence of complex contagion of information in social media: An experiment using Twitter bots

DEFF Research Database (Denmark)

Mønsted, Bjarke Mørch; Sapiezynski, Piotr; Ferrara, Emilio

2017-01-01

It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with millions of users. One question that systematically recurs is whether information spreads according to simple or complex......, therefore, unable to disentangle the effects of confounding factors such as social reinforcement, homophily, limited attention, or network community structure. Here we describe a novel controlled experiment that we performed on Twitter using 'social bots' deployed to carry out coordinated attempts...

Social Networking Sites and Language Learning

Science.gov (United States)

Brick, Billy

2011-01-01

This article examines a study of seven learners who logged their experiences on the language leaning social networking site Livemocha over a period of three months. The features of the site are described and the likelihood of their future success is considered. The learners were introduced to the Social Networking Site (SNS) and asked to learn a…

Sense of Community on Twitter and Instagram: Exploring the Roles of Motives and Parasocial Relationships.

Science.gov (United States)

Blight, Michael G; Ruppel, Erin K; Schoenbauer, Kelsea V

2017-05-01

Although research has explored the ways in which people form virtual communities to converse about media figures, television shows, and similar topics, little research has examined the link between virtual communities and the parasocial relationships (PSRs) that are often the focus of these conversations and users' experiences in those virtual communities. We examined sense of community (SOC) on Twitter and Instagram as a function of users' motives for use and users' PSR on the sites. In addition to examining the relative importance of different motives for using Twitter and Instagram, we predicted that PSR would mediate the association between motives for use and SOC. Results of an online survey revealed that Instagram users (n = 276) reported stronger social interaction motives than did Twitter users (n = 223). Social interaction and expressive information sharing motives were directly positively associated with SOC for users of both sites. Instagram users also exhibited indirect effects of expressive information sharing and companionship motives on SOC, through PSR. These findings suggest potentially influential differences between Twitter and Instagram, particularly regarding the role of PSR in fostering a general SOC.

TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications.

Science.gov (United States)

Costa, Daniel G; Duran-Faundez, Cristian; Andrade, Daniel C; Rocha-Junior, João B; Peixoto, João Paulo Just

2018-04-03

Modern cities are subject to periodic or unexpected critical events, which may bring economic losses or even put people in danger. When some monitoring systems based on wireless sensor networks are deployed, sensing and transmission configurations of sensor nodes may be adjusted exploiting the relevance of the considered events, but efficient detection and classification of events of interest may be hard to achieve. In Smart City environments, several people spontaneously post information in social media about some event that is being observed and such information may be mined and processed for detection and classification of critical events. This article proposes an integrated approach to detect and classify events of interest posted in social media, notably in Twitter , and the assignment of sensing priorities to source nodes. By doing so, wireless sensor networks deployed in Smart City scenarios can be optimized for higher efficiency when monitoring areas under the influence of the detected events.

TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications

Directory of Open Access Journals (Sweden)

Daniel G. Costa

2018-04-01

Full Text Available Modern cities are subject to periodic or unexpected critical events, which may bring economic losses or even put people in danger. When some monitoring systems based on wireless sensor networks are deployed, sensing and transmission configurations of sensor nodes may be adjusted exploiting the relevance of the considered events, but efficient detection and classification of events of interest may be hard to achieve. In Smart City environments, several people spontaneously post information in social media about some event that is being observed and such information may be mined and processed for detection and classification of critical events. This article proposes an integrated approach to detect and classify events of interest posted in social media, notably in Twitter, and the assignment of sensing priorities to source nodes. By doing so, wireless sensor networks deployed in Smart City scenarios can be optimized for higher efficiency when monitoring areas under the influence of the detected events.

A systematic examination of the use of Online social networking sites for sexual health promotion

Directory of Open Access Journals (Sweden)

Hellard Margaret E

2011-07-01

Full Text Available Abstract Background In recent years social networking sites (SNSs have grown rapidly in popularity. The popularity of these sites, along with their interactive functions, offer a novel environment in which to deliver health promotion messages. The aim of this paper is to examine the extent to which SNSs are currently being used for sexual health promotion and describe the breadth of these activities. Methods We conducted a systematic search of published scientific literature, electronic sources (general and scientific search engines, blogs and SNSs (Facebook, MySpace to identify existing sexual health promotion activities using SNSs. Health promotion activities were eligible for inclusion if they related to sexual health or behaviour, utilised one or more SNSs, and involved some element of health promotion. Information regarding the source and type of health promotion activity, target population and site activity were extracted. Results 178 sexual health promotion activities met the inclusion criteria and were included in the review; only one activity was identified through a traditional systematic search of the published scientific literature. Activities most commonly used one SNS, were conducted by not-for-profit organisations, targeted young people and involved information delivery. Facebook was the most commonly used SNS (used by 71% of all health promotion activities identified, followed by MySpace and Twitter. Seventy nine percent of activities on MySpace were considered inactive as there had been no online posts within the past month, compared to 22% of activities using Facebook and 14% of activities using Twitter. The number of end-users and posts in the last seven days varied greatly between health promotion activities. Conclusions SNSs are being used for sexual health promotion, although the extent to which they are utilised varies greatly, and the vast majority of activities are unreported in the scientific literature. Future studies

A systematic examination of the use of Online social networking sites for sexual health promotion

Science.gov (United States)

2011-01-01

Background In recent years social networking sites (SNSs) have grown rapidly in popularity. The popularity of these sites, along with their interactive functions, offer a novel environment in which to deliver health promotion messages. The aim of this paper is to examine the extent to which SNSs are currently being used for sexual health promotion and describe the breadth of these activities. Methods We conducted a systematic search of published scientific literature, electronic sources (general and scientific search engines, blogs) and SNSs (Facebook, MySpace) to identify existing sexual health promotion activities using SNSs. Health promotion activities were eligible for inclusion if they related to sexual health or behaviour, utilised one or more SNSs, and involved some element of health promotion. Information regarding the source and type of health promotion activity, target population and site activity were extracted. Results 178 sexual health promotion activities met the inclusion criteria and were included in the review; only one activity was identified through a traditional systematic search of the published scientific literature. Activities most commonly used one SNS, were conducted by not-for-profit organisations, targeted young people and involved information delivery. Facebook was the most commonly used SNS (used by 71% of all health promotion activities identified), followed by MySpace and Twitter. Seventy nine percent of activities on MySpace were considered inactive as there had been no online posts within the past month, compared to 22% of activities using Facebook and 14% of activities using Twitter. The number of end-users and posts in the last seven days varied greatly between health promotion activities. Conclusions SNSs are being used for sexual health promotion, although the extent to which they are utilised varies greatly, and the vast majority of activities are unreported in the scientific literature. Future studies should examine the key

A systematic examination of the use of online social networking sites for sexual health promotion.

Science.gov (United States)

Gold, Judy; Pedrana, Alisa E; Sacks-Davis, Rachel; Hellard, Margaret E; Chang, Shanton; Howard, Steve; Keogh, Louise; Hocking, Jane S; Stoove, Mark A

2011-07-21

In recent years social networking sites (SNSs) have grown rapidly in popularity. The popularity of these sites, along with their interactive functions, offer a novel environment in which to deliver health promotion messages. The aim of this paper is to examine the extent to which SNSs are currently being used for sexual health promotion and describe the breadth of these activities. We conducted a systematic search of published scientific literature, electronic sources (general and scientific search engines, blogs) and SNSs (Facebook, MySpace) to identify existing sexual health promotion activities using SNSs. Health promotion activities were eligible for inclusion if they related to sexual health or behaviour, utilised one or more SNSs, and involved some element of health promotion. Information regarding the source and type of health promotion activity, target population and site activity were extracted. 178 sexual health promotion activities met the inclusion criteria and were included in the review; only one activity was identified through a traditional systematic search of the published scientific literature. Activities most commonly used one SNS, were conducted by not-for-profit organisations, targeted young people and involved information delivery. Facebook was the most commonly used SNS (used by 71% of all health promotion activities identified), followed by MySpace and Twitter. Seventy nine percent of activities on MySpace were considered inactive as there had been no online posts within the past month, compared to 22% of activities using Facebook and 14% of activities using Twitter. The number of end-users and posts in the last seven days varied greatly between health promotion activities. SNSs are being used for sexual health promotion, although the extent to which they are utilised varies greatly, and the vast majority of activities are unreported in the scientific literature. Future studies should examine the key factors for success among those

The Use of Twitter by the Trauma and Orthopaedic Surgery Journals: Twitter Activity, Impact Factor, and Alternative Metrics.

Science.gov (United States)

Hughes, Hannah; Hughes, Andrew; Murphy, Colin

2017-12-10

Aim Social media (SoMe) platforms have become leading methods of communication and dissemination of scientific information in the medical community. They allow for immediate discussion and widespread engagement around important topics. It has been hypothesized that the activity on Twitter positively correlates with highly cited articles. The purpose of this study was to analyze the prevalence and activity of Trauma and Orthopaedic Surgery journals on Twitter, with the hypothesis that the impact factor is positively associated with the Twitter usage. Methods The top 50 Trauma and Orthopaedic Surgery journals, ranked by 2016 Impact Factor were analyzed. The Twitter profiles of each journal or affiliated society were identified. Other SoMe platforms used were also recorded. The Twitonomy software (Digonomy Pty Ltd, New South Wales, Australia) was used to analyze the Twitter profiles over a one-year period. The Twitter Klout scores were recorded for each journal to approximate the SoMe influence. The Altmetric scores (the total number of mentions via alternative metrics) were also recorded. The statistical analysis was carried out to identify correlations between journal Impact Factors, SoMe activity, Twitter Klout scores and Altmetric scores.  Results Twenty-two journals (44%) were dedicated to the Twitter profiles. Fourteen journals (28%) were associated with societies that had profiles and 14 journals (28%) had no Twitter presence. The mean Impact Factor overall was 2.16 +/- 0.14 (range, 1.07-5.16). The journals with dedicated Twitter profiles had higher Impact Factors than those without (mean 2.41 vs. 1.61; P=0.005). A greater number of Twitter followers were associated with higher Impact Factors (R2 0.317, P=0.03). The journals with higher Twitter Klout scores had higher Impact Factors (R2 0.357, P=0.016). The Altmetric score was positively associated with an Impact Factor (R2 0.310, P=0.015). The journals with higher numbers of retweets (virtual citations in

The Use of Twitter in the Creation of Educational Professional Learning Opportunities

Science.gov (United States)

Ross, Carrie R.; Maninger, Robert M.; LaPrairie, Kimberly N.; Sullivan, Sam

2015-01-01

This study sought to examine how educators are using Twitter to increase their professional learning opportunities beyond the boundaries of traditional professional development offers, and whether educators feel a greater sense of fulfillment receiving professional development through networking and community learning than they do through…

Using Twitter data for demographic research

Directory of Open Access Journals (Sweden)

Dilek Yildiz

2017-11-01

Full Text Available Background: Social media data is a promising source of social science data. However, deriving the demographic characteristics of users and dealing with the nonrandom, nonrepresentative populations from which they are drawn represent challenges for social scientists. Objective: Given the growing use of social media data in social science research, this paper asks two questions: 1 To what extent are findings obtained with social media data generalizable to broader populations, and 2 what is the best practice for estimating demographic information from Twitter data? Methods: Our analyses use information gathered from 979,992 geo-located Tweets sent by 22,356 unique users in South East England between 23 June and 4 July 2014. We estimate demographic characteristics of the Twitter users with the crowd-sourcing platform CrowdFlower and the image-recognition software Face++. To evaluate bias in the data, we run a series of log-linear models with offsets and calibrate the nonrepresentative sample of Twitter users with mid-year population estimates for South East England. Results: CrowdFlower proves to be more accurate than Face++ for the measurement of age, whereas both tools are highly reliable for measuring the sex of Twitter users. The calibration exercise allows bias correction in the age-, sex-, and location-specific population counts obtained from the Twitter population by augmenting Twitter data with mid-year population estimates. Contribution: The paper proposes best practices for estimating Twitter users' basic demographic characteristics and a calibration method to address the selection bias in the Twitter population, allowing researchers to generalize findings based on Twitter to the general population.

Twitter, Journalism and Affective Labour

Directory of Open Access Journals (Sweden)

Eugenia Siapera

2015-03-01

Full Text Available The rise of the network aspects of journalism in the context of social mediasuch as Twitter, and the increased importance accorded to community building and maintenance as well as to reciprocity, point to the need to take into account the affective part of journalistic labour. This refers to these aspects of journalistic work that are linked to the creation of networks and communities, to interactions with readers and the forming of bonds between journalists and their readers. An analysis of the affective labour of journalists on Twitter, we argue, is necessary in order to understand the potential and ambiguities of this part of their labour. Based on a set of in-depth interviews with Twitter journalists, this article found three main repertoires of affective labour: the organic relations repertoire, which points to the increasing importance of authenticity as a means of establishing credibility on Twitter; the temporal repertoire; and the repertoire of responsibility. The importance of the affective labour of journalism is found in its biopolitical productivity. The development of an organic relationship with followers, the emergence of stronger bonds between core groups that then become communities, the extension of care and help to the network, are all evidence of the importance of this biopolitical productivity and point to the construction of a new and potentially more radical sociopolitical role for journalism. However, this potential is ambiguous insofar as these elements contain unresolved tensions and ambiguities. These include the trade in selves and the associated commodification; the re-formulation of time, especially its diachronic dimension, as accumulation of social capital; the role of reciprocity and responsibility in reproducing inequalities; and care as care for only those deemed deserving. These ambiguities severely undermine and limit the potentials of affective labour, pointing to the need to develop a purposeful political

Focus on Technology: Enhancing Instruction and Communication with Twitter

Science.gov (United States)

Morgan, Hani

2014-01-01

The growth of Twitter and similar sites has influenced many institutions. Many employers, for example, currently value digital literacy and look to hire employees who are skilled in social media. Since corporations increasingly value this type of literacy, researchers such as Greenhow and Gleason (2012) argue that educators need to respond by…

Knowledge networking on Sociology: network analysis of blogs, YouTube videos and tweets about Sociology

Directory of Open Access Journals (Sweden)

Julián Cárdenas

2017-06-01

Full Text Available While mainstream scientific knowledge production have been widely studied in recent years with the development of scientometrics and bibliometrics, an emergent number of studies have focused on alternative sources of production and dissemination of knowledge such as blogs, YouTube videos and comments on Twitter. These online sources of knowledge become relevant in fields such as Sociology, where some academics seek to bring the sociological knowledge to the general population. To explore which knowledge on Sociology is produced and disseminated, and how is organized in these online sources, we analyze the knowledge networking of blogs, YouTube videos and tweets on Twitter using network analysis approach. Specifically, the present research analyzes the hyperlink network of the main blogs on Sociology, the networks of tags used to classify videos on Sociology hosted on YouTube, and the network of hashtags linked to #sociología on Twitter. The main results point out the existence of a cohesive and strongly connected community of blogs on Sociology, the very low presence of YouTube videos on Sociology in Spanish, and Sociology on Twitter is linked to others social sciences, classical scholars and social media

Social network sites: Indispensable or optional social tools?

DEFF Research Database (Denmark)

Shklovski, Irina

2012-01-01

Much research has enumerated potential benefits of online social network sites. Given the pervasiveness of these sites and the numbers of people that use them daily, both re-search and media tend to make the assumption that social network sites have become indispensible to their users. Based...... on the analysis of qualitative data from users of social network sites in Russia and Kazakhstan, this paper consid-ers under what conditions social network sites can become indispensable to their users and when these technologies remain on the periphery of life despite fulfilling useful func-tions. For some...... respondents, these sites had become indis-pensable tools as they were integrated into everyday rou-tines of communicating with emotionally important and proximal contacts and were often used for coordination of offline activities. For others social network sites remained spaces where they occasionally visited...

Ask an anatomist: Identifying global trends, topics and themes of academic anatomists using twitter.

Science.gov (United States)

Marsland, Madeleine J; Lazarus, Michelle D

2018-05-06

Social media (SoMe) is increasingly used in higher education (HE) to access knowledge and enable global communication. The SoMe platform Twitter ® is particularly beneficial in these contexts because it is readily accessible, easily searchable (via hashtags) and global. Given these advantages, the twitter platform @AskAnatomist was created to foster a global weekly tweet chat, where students and academics can ask and address anatomy-related questions. The aim of this study was to identify themes arising in the early stages of the @AskAnatomy Twitter community to gain insights into current needs/key areas for academic anatomists, students, and other followers. A qualitative analysis of tweets including the hashtag #AnatQ, (the associated @AskAnatomist hashtag), was undertaken to achieve this aim. Thematic analysis revealed three core themes arising in the formative stages of the @AskAnatomist Twitter site: (1) anatomical education modalities, (2) specific anatomy content, and (3) research motivations. These themes reveal controversies within the field of anatomical sciences, areas for potential education resource improvement and research, as well as the humor of anatomists. Though the original intent of the @AskAnatomist site was to engage the general public in anatomy content and knowledge, tweet analysis suggests that academic anatomists were the primary active "tweeters". Interestingly, this analysis reveals that the @AskAnatomist site progressed into a web-based community of practice (CoP), suggesting an additional benefit of SoMe communities in the field of anatomy. Anat Sci Educ 11: 270-281. © 2017 American Association of Anatomists. © 2017 American Association of Anatomists.

Twitter® use and its implications in Spanish Association of Surgeons meetings and congresses.

Science.gov (United States)

Segura Sampedro, Juan José; Morales Soriano, Rafael; Ramos Rodríguez, José Luis; González-Argenté, Francisco Javier; Mayol, Julio

The use of web 2.0 tools and especially Twitter is in full expansion. Twitter has jumped from the personal field to the professional with great success, joining as a means of regular dissemination in scientific congresses. The use of Twitter from 2013 to 2016 was monitored at the congresses of the Spanish Association of Surgeons (AEC). To do this, the hashtags (# rnc13, # cnc14, # rnc15, # cncirugia16) were analyzed through various websites for analysis of hashtags. The use of Twitter among the members of the Spanish Association of Surgeons has increased clearly, surpassing other American societies. It has increased in number of tweets, in number of tweeters and in the ratio of the same with respect to those attending congresses. While at the beginning the majority of tweets (65%) were the responsibility of a group of influencers, in recent years, due to the increase in tweets, the maximum influencers are only responsible for 35% of tweets. The number of institutional accounts in the top 10 has also been reduced. n the AEC the use of twitter has grown clearly and almost exponentially in recent years. Although initially the tweeted community was small and a few were responsible for a majority of tweets, the progressive growth and penetration of twitter has made that in recent congresses, these influencers and institutional accounts are no longer the main driver of the use of twitter in the congresses. Given the global trend and the Spanish Association of Surgeons, it is expected that tools such as Twitter play an increasingly important role in the management and transmission of knowledge, as well as in the creation of collaborative networks between professionals. Copyright © 2018 AEC. Publicado por Elsevier España, S.L.U. All rights reserved.

Twitter and the Cyberpolitics

OpenAIRE

Fernández, Carmen Beatriz

2012-01-01

Este ensayo explora el rol que viene asumiendo Twitter en la ciberpolítica de la región, con base en estudios y data recuiente. Twitter día a día bate sus propios records con 200 millones de cuentas en todo el mundo y 140 millones de tuits al día, crece a una vertiginosa tasa de 500 mil nuevos usuarios al día. ¿Es Twitter un buen medio para la comunicación política? ¿es un medio útil para los políticos? ¿y para los ciudadanos? La respuesta es sólo una, y enfática: sí. En cualquier campaña es ...

[Exponential use of social media in medicine: example of the interest of Twitter(©) in urology].

Science.gov (United States)

Rouprêt, M; Misraï, V

2015-01-01

Social media (#SoMe) has changed the face of modern medicine. Our purpose was to asses the potential interest of Twitter in the field of urology. A systematic review of the literature has been performed using PubMed without timeline restriction with the following keywords (MeSH): social media; Web 2.0; Twitter; Internet; network; urology; journal club; education. There were 3 categories of interest of Twitter in the field of urology: spread of scientific knowledge, scientific interaction during medical conferences and medical education and international medical debates. The unique spread of evidence-based-medecine through traditional scientific journals in paper version is over. Main scientific journals in urology and scientific societies are now using a Twitter account and became virtual. They use new bibliometrics available on #SoMe to estimate the social impact. Twitter allows for a better interactivity of doctors attending scientific conferences. Exponential use of Twitter is in the interest of speakers and leaders, audience and scientific societies. Lastly, medical academic education and continuing medical education can be achieved through #SoMe. Twitter became a lively virtual platform for scientific debates for complex oncological cases (dematerialized tumor board). Twitter is also a place for intense scientific discussion during virtual journal club without geographic or timeline restriction. Physicians need to respect the rules for a wise use of #SoMe in order not to break the Hippocratic Oath. There is a revolution around #SoMe and Twitter in the spread of scientific knowledge and academic teaching. International urologists are already committed in this evolution and France should also get involved. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Social Networking Sites: A premise on enhancement

OpenAIRE

MANINDERPAL SINGH SAINI; GYEWON MOON

2013-01-01

This article address five constructs that are paramount toward continued evolution of social networking sites (SNS`s) they include, - stabilisation, visual, language, security and flexibility. These constructs add to our proposed framework. Firmly grounded research on social networking sites and literature, we propose that user feedback, is the critical component that stimulates the development and growth of social networking sites online. We offer a framework that can aid new and current soc...

#HashtagSolidarities: Twitter debates and networks in the MENA region

OpenAIRE

2016-01-01

During the course of the so-called Arab Spring, observers were quick to refer to the uprisings as »Facebook revolutions« or »Twitter revolutions«. Although the important role of social media in the 2011 upheavals in the Middle East and North Africa (MENA) is widely acknowledged, its impact on political processes in the region remains contested and contradictory. Rather than looking at social media through a transformation or security lens, the research presented here focused on how debates on...

A little bird told me : Twitter may be growing at 700 per cent a week, but is it a valuable tool for the patch, or a distraction?

Energy Technology Data Exchange (ETDEWEB)

Stastny, P

2009-10-15

The social networking tool Twitter may soon be adopted by petroleum industry workers as a means of ensuring increased communications. Comprised of social networks, link sharing, and live searching, the tool can be used to conduct subject searchers as well as to link to quarterly reports and press releases. Twitter is also being used to manage crisis communications as well as to monitor activities on the Internet. Twitter may also provide a means for oil and gas operators to follow influential industry bloggers as well as to develop effective communications strategies. It was concluded that Twitter may offer an opportunity for companies to participate in non-traditional communications approaches such as online forums, and other media-sharing tools. 1 fig.

He votes or she votes? Female and male discursive strategies in Twitter political hashtags.

Science.gov (United States)

Cunha, Evandro; Magno, Gabriel; Gonçalves, Marcos André; Cambraia, César; Almeida, Virgilio

2014-01-01

In this paper, we conduct a study about differences between female and male discursive strategies when posting in the microblogging service Twitter, with a particular focus on the hashtag designation process during political debate. The fact that men and women use language in distinct ways, reverberating practices linked to their expected roles in the social groups, is a linguistic phenomenon known to happen in several cultures and that can now be studied on the Web and on online social networks in a large scale enabled by computing power. Here, for instance, after analyzing tweets with political content posted during Brazilian presidential campaign,we found out that male Twitter users, when expressing their attitude toward a given candidate, are more prone to use imperative verbal forms in hashtags, while female users tend to employ declarative forms. This difference can be interpreted as a sign of distinct approaches in relation to other network members: for example, if political hashtags are seen as strategies of persuasion in Twitter, imperative tags could be understood as more overt ways of persuading and declarative tags as more indirect ones. Our findings help to understand human gendered behavior in social networks and contribute to research on the new fields of computer-enabled Internet linguistics and social computing, besides being useful for several computational tasks such as developing tag recommendation systems based on users' collective preferences and tailoring targeted advertising strategies, among others.

He votes or she votes? Female and male discursive strategies in Twitter political hashtags.

Directory of Open Access Journals (Sweden)

Evandro Cunha

Full Text Available In this paper, we conduct a study about differences between female and male discursive strategies when posting in the microblogging service Twitter, with a particular focus on the hashtag designation process during political debate. The fact that men and women use language in distinct ways, reverberating practices linked to their expected roles in the social groups, is a linguistic phenomenon known to happen in several cultures and that can now be studied on the Web and on online social networks in a large scale enabled by computing power. Here, for instance, after analyzing tweets with political content posted during Brazilian presidential campaign,we found out that male Twitter users, when expressing their attitude toward a given candidate, are more prone to use imperative verbal forms in hashtags, while female users tend to employ declarative forms. This difference can be interpreted as a sign of distinct approaches in relation to other network members: for example, if political hashtags are seen as strategies of persuasion in Twitter, imperative tags could be understood as more overt ways of persuading and declarative tags as more indirect ones. Our findings help to understand human gendered behavior in social networks and contribute to research on the new fields of computer-enabled Internet linguistics and social computing, besides being useful for several computational tasks such as developing tag recommendation systems based on users' collective preferences and tailoring targeted advertising strategies, among others.

Twitter as a Potential Data Source for Cardiovascular Disease Research.

Science.gov (United States)

Sinnenberg, Lauren; DiSilvestro, Christie L; Mancheno, Christina; Dailey, Karl; Tufts, Christopher; Buttenheim, Alison M; Barg, Fran; Ungar, Lyle; Schwartz, H; Brown, Dana; Asch, David A; Merchant, Raina M

2016-12-01

As society is increasingly becoming more networked, researchers are beginning to explore how social media can be used to study person-to-person communication about health and health care use. Twitter is an online messaging platform used by more than 300 million people who have generated several billion Tweets, yet little work has focused on the potential applications of these data for studying public attitudes and behaviors associated with cardiovascular health. To describe the volume and content of Tweets associated with cardiovascular disease as well as the characteristics of Twitter users. We used Twitter to access a random sample of approximately 10 billion English-language Tweets originating from US counties from July 23, 2009, to February 5, 2015, associated with cardiovascular disease. We characterized each Tweet relative to estimated user demographics. A random subset of 2500 Tweets was hand-coded for content and modifiers. The volume of Tweets about cardiovascular disease and the content of these Tweets. Of 550 338 Tweets associated with cardiovascular disease, the terms diabetes (n = 239 989) and myocardial infarction (n = 269 907) were used more frequently than heart failure (n = 9414). Users who Tweeted about cardiovascular disease were more likely to be older than the general population of Twitter users (mean age, 28.7 vs 25.4 years; P < .01) and less likely to be male (59 082 of 124 896 [47.3%] vs 8433 of 17 270 [48.8%]; P < .01). Most Tweets (2338 of 2500 [93.5%]) were associated with a health topic; common themes of Tweets included risk factors (1048 of 2500 [41.9%]), awareness (585 of 2500 [23.4%]), and management (541 of 2500 [21.6%]) of cardiovascular disease. Twitter offers promise for studying public communication about cardiovascular disease.

Mapping auroral activity with Twitter

Science.gov (United States)

Case, N. A.; MacDonald, E. A.; Heavner, M.; Tapia, A. H.; Lalone, N.

2015-05-01

Twitter is a popular, publicly accessible, social media service that has proven useful in mapping large-scale events in real time. In this study, for the first time, the use of Twitter as a measure of auroral activity is investigated. Peaks in the number of aurora-related tweets are found to frequently coincide with geomagnetic disturbances (detection rate of 91%). Additionally, the number of daily aurora-related tweets is found to strongly correlate with several auroral strength proxies (ravg≈0.7). An examination is made of the bias for location and time of day within Twitter data, and a first-order correction of these effects is presented. Overall, the results suggest that Twitter can provide both specific details about an individual aurora and accurate real-time indication of when, and even from where, an aurora is visible.

Network Structure and Community Evolution on Twitter: Human Behavior Change in Response to the 2011 Japanese Earthquake and Tsunami

Science.gov (United States)

Lu, Xin; Brelsford, Christa

2014-10-01

To investigate the dynamics of social networks and the formation and evolution of online communities in response to extreme events, we collected three datasets from Twitter shortly before and after the 2011 earthquake and tsunami in Japan. We find that while almost all users increased their online activity after the earthquake, Japanese speakers, who are assumed to be more directly affected by the event, expanded the network of people they interact with to a much higher degree than English speakers or the global average. By investigating the evolution of communities, we find that the behavior of joining or quitting a community is far from random: users tend to stay in their current status and are less likely to join new communities from solitary or shift to other communities from their current community. While non-Japanese speakers did not change their conversation topics significantly after the earthquake, nearly all Japanese users changed their conversations to earthquake-related content. This study builds a systematic framework for investigating human behaviors under extreme events with online social network data and our findings on the dynamics of networks and communities may provide useful insight for understanding how patterns of social interaction are influenced by extreme events.

Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter

Science.gov (United States)

Dodds, Peter Sheridan; Harris, Kameron Decker; Kloumann, Isabel M.; Bliss, Catherine A.; Danforth, Christopher M.

2011-01-01

Individual happiness is a fundamental societal metric. Normally measured through self-report, happiness has often been indirectly characterized and overshadowed by more readily quantifiable economic indicators such as gross domestic product. Here, we examine expressions made on the online, global microblog and social networking service Twitter, uncovering and explaining temporal variations in happiness and information levels over timescales ranging from hours to years. Our data set comprises over 46 billion words contained in nearly 4.6 billion expressions posted over a 33 month span by over 63 million unique users. In measuring happiness, we construct a tunable, real-time, remote-sensing, and non-invasive, text-based hedonometer. In building our metric, made available with this paper, we conducted a survey to obtain happiness evaluations of over 10,000 individual words, representing a tenfold size improvement over similar existing word sets. Rather than being ad hoc, our word list is chosen solely by frequency of usage, and we show how a highly robust and tunable metric can be constructed and defended. PMID:22163266

#LancerHealth: Using Twitter and Instagram as a tool in a campus wide health promotion initiative.

Science.gov (United States)

Santarossa, Sara; Woodruff, Sarah J

2018-02-05

The present study aimed to explore using popular technology that people already have/use as a health promotion tool, in a campus wide social media health promotion initiative, entitled #LancerHealth . During a two-week period the university community was asked to share photos on Twitter and Instagram of What does being healthy on campus look like to you ?, while tagging the image with #LancerHealth . All publically tagged media was collected using the Netlytic software and analysed. Text analysis (N=234 records, Twitter; N=141 records, Instagram) revealed that the majority of the conversation was positive and focused on health and the university. Social network analysis, based on five network properties, showed a small network with little interaction. Lastly, photo coding analysis (N=71 unique image) indicated that the majority of the shared images were of physical activity (52%) and on campus (80%). Further research into this area is warranted.

Composite Social Network for Predicting Mobile Apps Installation

Science.gov (United States)

2011-06-02

Social network tools (such as the Facebook app and the Twitter app) can observe users’ online friendship network . In this work, our key idea is...the friendship network from phones by collecting data from social networking apps such as the Facebook and Twitter apps. We summarize all the networks ...ar X iv :1 10 6. 03 59 v1 [ cs .S I] 2 J un 2 01 1 Composite Social Network for Predicting Mobile Apps Installation Wei Pan

How to normalize Twitter counts? A first attempt based on journals in the Twitter Index.

Science.gov (United States)

Bornmann, Lutz; Haunschild, Robin

One possible way of measuring the broad impact of research (societal impact) quantitatively is the use of alternative metrics (altmetrics). An important source of altmetrics is Twitter, which is a popular microblogging service. In bibliometrics, it is standard to normalize citations for cross-field comparisons. This study deals with the normalization of Twitter counts (TC). The problem with Twitter data is that many papers receive zero tweets or only one tweet. In order to restrict the impact analysis on only those journals producing a considerable Twitter impact, we defined the Twitter Index (TI) containing journals with at least 80 % of the papers with at least 1 tweet each. For all papers in each TI journal, we calculated normalized Twitter percentiles (TP) which range from 0 (no impact) to 100 (highest impact). Thus, the highest impact accounts for the paper with the most tweets compared to the other papers in the journal. TP are proposed to be used for cross-field comparisons. We studied the field-independency of TP in comparison with TC. The results point out that the TP can validly be used particularly in biomedical and health sciences, life and earth sciences, mathematics and computer science, as well as physical sciences and engineering. In a first application of TP, we calculated percentiles for countries. The results show that Denmark, Finland, and Norway are the countries with the most tweeted papers (measured by TP).

Twitter and the Cyberpolitics

Directory of Open Access Journals (Sweden)

Carmen Beatriz Fernández

2012-02-01

Full Text Available This paper explores the role that Twitter is taking in the e-policy of the region, based on recent studies and data. Twitter every day beats its own record with 200 million accounts worldwide and 140 million tweets per day, growing at a dizzying rate of 500 thousand new users per day. Is Twitter a good medium for political communication? Is it a useful tool for politicians? What about the citizens? The answer is only one, and emphatic yes. In any campaign should provide demonstrations of numerical strength. There is an important segment of the electorate based on the manifestations of power, and predictions of victory to finally make their voting decision. The article explores current uses, trends and contrasts with traditional media.

Hookah-Related Twitter Chatter: A Content Analysis.

Science.gov (United States)

Krauss, Melissa J; Sowles, Shaina J; Moreno, Megan; Zewdie, Kidist; Grucza, Richard A; Bierut, Laura J; Cavazos-Rehg, Patricia A

2015-07-30

Hookah smoking is becoming increasingly popular among young adults and is often perceived as less harmful than cigarette use. Prior studies show that it is common for youth and young adults to network about substance use behaviors on social media. Social media messages about hookah could influence its use among young people. We explored normalization or discouragement of hookah smoking, and other common messages about hookah on Twitter. From the full stream of tweets posted on Twitter from April 12, 2014, to May 10, 2014 (approximately 14.5 billion tweets), all tweets containing the terms hookah, hooka, shisha, or sheesha were collected (n = 358,523). The hookah tweets from Twitter users (tweeters) with high influence and followers were identified (n = 39,824) and a random sample of 5,000 tweets was taken (13% of tweets with high influence and followers). The sample of tweets was qualitatively coded for normalization (ie, makes hookah smoking seem common and normal or portrays positive experiences with smoking hookah) or discouragement of hookah smoking, and other common themes using crowdsourcing. Approximately 87% of the sample of tweets normalized hookah use, and 7% were against hookah or discouraged its use. Nearly half (46%) of tweets that normalized hookah indicated that the tweeter was smoking hookah or wanted to smoke hookah, and 19% were advertisements/promotions for hookah bars or products. Educational campaigns about health harms from hookah use and policy changes regarding smoke-free air laws and tobacco advertising on the Internet may be useful to help offset the influence of pro-hookah messages seen on social media.

A security approach based on honeypots: Protecting Online Social network from malicious profiles

Directory of Open Access Journals (Sweden)

Fatna Elmendili, Nisrine Maqran

2017-04-01

Full Text Available In the recent years, the fast development and the exponential utilization of social networks have prompted an expansion of social Computing. In social networks users are interconnected by edges or links, where Facebook, twitter, LinkedIn are most popular social networks websites. Due to the growing popularity of these sites they serve as a target for cyber criminality and attacks. It is mostly based on how users are using these sites like Twitter and others. Attackers can easily access and gather personal and sensitive user’s information. Users are less aware and least concerned about the security setting. And they easily become victim of identity breach. To detect malicious users or fake profiles different techniques have been proposed like our approach which is based on the use of social honeypots to discover malicious profiles in it. Inspired by security researchers who used honeypots to observe and analyze malicious activity in the networks, this method uses social honeypots to trap malicious users. The two key elements of the approach are: (1 The deployment of social honeypots for harvesting information of malicious profiles. (2 Analysis of the characteristics of these malicious profiles and those of deployed honeypots for creating classifiers that allow to filter the existing profiles and monitor the new profiles.

U.S. State Education Agencies’ Use of Twitter

Directory of Open Access Journals (Sweden)

Yinying Wang

2016-01-01

Full Text Available This study examined how Twitter was used by all U.S. state education agencies (SEAs for public engagement in education. Drawing on the ecological model of communication, this study analyzed the latest 71,913 tweets from 40 SEAs that had official Twitter accounts. The results of correlation analysis indicate no significant relationship between the SEAs’ presence on Twitter and the SEAs’ targeted Twitter users, denoting that the SEAs’ well-intentioned efforts in communicating with stakeholders and the public by using Twitter might fall short of the public’s preferable medium for receiving information. In addition, the results of content analysis suggest that the SEAs primarily used Twitter for one-way asymmetrical information broadcasting, leaving Twitter’s two-way symmetrical communication functionality largely untapped. Findings are discussed with respect to the implications for educational organizations’ effective use of Twitter through the public’s increased participation and collaboration.

21 Recipes for Mining Twitter

CERN Document Server

Russell, Matthew

2011-01-01

Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: Use OAuth to access Twitter dataCreate and analyze graphs of retweet relationshipsUse the streaming API to harvest tweets in realtimeHarvest and analyze friends and followers

Klasifikasi Model Percakapan Twitter Mengenai Ujian Nasional

Directory of Open Access Journals (Sweden)

Emilya Ully Artha

2018-01-01

Full Text Available The rise of internet usage especially in social media such as Twitter make a possibility to analyze an existing conversations and derived it to various conversation theme. The data was obtained from the Twitter conversation using text mining that is a "national exam" using the National #ujian, #unas, and #ujianan hastags. Twitter API was used to extract tweet data. This research use the naive bayesian access method to view communication forms based on users and applications. Based on calculation this research obtain a 0.278 result that most of Twitter users (users are being from @kabarDiknas. The data that used in this research are taken from is a twitter conversation about the “ujian nasional” in 2016.

Patterns of Twitter Usage in One Cohort-Based Doctoral Program

Directory of Open Access Journals (Sweden)

Armand A Buzzelli

2016-05-01

Full Text Available An Instructional Management and Leadership doctoral program (IML incorporated the use of Twitter to examine what this looked like in practice. Did students actually use Twitter, and if so, how frequently, for what purpose(s, and were there differences between students on the pattern of use? Additionally, we sought to determine if Twitter is a legitimate instructional tool and if the use of Twitter can help mitigate feelings of isolation. Utilizing a descriptive case study design we implemented a survey methodology by distributing a modified version of the First Year Engagement Questionnaire to five IML cohorts. Active use of Twitter was infrequent. IML students used Twitter to gather news, follow experts, and find stimulating interactions. Active users and students who previously had a Twitter account were more positive about using Twitter. On average however, IML students were infrequent, passive Twitter users, aggregating information to supplement instruction. They did not use Twitter to reduce feelings of isolation. Female and male students used Twitter similarly. Younger students were more active than older students. Familiarity with the platform potentially moderates Twitter activity. Twitter has utility as a supplemental instructional tool but expanded use requires active student engagement.

Twitter Predicts Citation Rates of Ecological Research.

Science.gov (United States)

Peoples, Brandon K; Midway, Stephen R; Sackett, Dana; Lynch, Abigail; Cooney, Patrick B

2016-01-01

The relationship between traditional metrics of research impact (e.g., number of citations) and alternative metrics (altmetrics) such as Twitter activity are of great interest, but remain imprecisely quantified. We used generalized linear mixed modeling to estimate the relative effects of Twitter activity, journal impact factor, and time since publication on Web of Science citation rates of 1,599 primary research articles from 20 ecology journals published from 2012-2014. We found a strong positive relationship between Twitter activity (i.e., the number of unique tweets about an article) and number of citations. Twitter activity was a more important predictor of citation rates than 5-year journal impact factor. Moreover, Twitter activity was not driven by journal impact factor; the 'highest-impact' journals were not necessarily the most discussed online. The effect of Twitter activity was only about a fifth as strong as time since publication; accounting for this confounding factor was critical for estimating the true effects of Twitter use. Articles in impactful journals can become heavily cited, but articles in journals with lower impact factors can generate considerable Twitter activity and also become heavily cited. Authors may benefit from establishing a strong social media presence, but should not expect research to become highly cited solely through social media promotion. Our research demonstrates that altmetrics and traditional metrics can be closely related, but not identical. We suggest that both altmetrics and traditional citation rates can be useful metrics of research impact.

Twitter predicts citation rates of ecological research

Science.gov (United States)

Peoples, Brandon K.; Midway, Stephen R.; Sackett, Dana K.; Lynch, Abigail; Cooney, Patrick B.

2016-01-01

The relationship between traditional metrics of research impact (e.g., number of citations) and alternative metrics (altmetrics) such as Twitter activity are of great interest, but remain imprecisely quantified. We used generalized linear mixed modeling to estimate the relative effects of Twitter activity, journal impact factor, and time since publication on Web of Science citation rates of 1,599 primary research articles from 20 ecology journals published from 2012–2014. We found a strong positive relationship between Twitter activity (i.e., the number of unique tweets about an article) and number of citations. Twitter activity was a more important predictor of citation rates than 5-year journal impact factor. Moreover, Twitter activity was not driven by journal impact factor; the ‘highest-impact’ journals were not necessarily the most discussed online. The effect of Twitter activity was only about a fifth as strong as time since publication; accounting for this confounding factor was critical for estimating the true effects of Twitter use. Articles in impactful journals can become heavily cited, but articles in journals with lower impact factors can generate considerable Twitter activity and also become heavily cited. Authors may benefit from establishing a strong social media presence, but should not expect research to become highly cited solely through social media promotion. Our research demonstrates that altmetrics and traditional metrics can be closely related, but not identical. We suggest that both altmetrics and traditional citation rates can be useful metrics of research impact.

The Constitutive Power of Twitter

DEFF Research Database (Denmark)

Albu, Oana Brindusa; Etter, Michael Andreas

Twitter is an increasingly used new information and communication technology (ICT) in organizational settings. Predominant research, however, tends to adopt functionalist standpoints and investigates new ICTs as platforms of information transmission through which organizations interact with their......Twitter is an increasingly used new information and communication technology (ICT) in organizational settings. Predominant research, however, tends to adopt functionalist standpoints and investigates new ICTs as platforms of information transmission through which organizations interact...... with their constituents. Such focus leaves little knowledge concerning the tensions new ICTs bring to organizational life. For a more nuanced understanding of the constitutive role of new ICTs in organizing, this paper unfolds a communication centered perspective and examines the strategic Twitter use in two...... organizations. The analysis illustrates how specific Twitter interactions, i.e., hashtags, become hypertexts—a type of authoritative texts—which simultaneously constitute an organizational actor or act as a pastiche of it. The study contributes to extant research by illustrating how hypertextuality...

The Usage of Social Networking Sites by Medical Students for Educational Purposes: A Meta-analysis and Systematic Review.

Science.gov (United States)

Guraya, Salman Y

2016-07-01

Online social networking sites (SNSs) (e.g., Facebook, MySpace, Flickr, Twitter and YouTube) have emerged as rapidly growing mechanisms to exchange personal and professional information among university students. This research aims to determine the medical students' extent of usage of SNSs for educational purposes. Educational Resources Information Centre (ERIC), Cumulative Index of Nursing and Allied Health Literature (CINAHL), the Cochrane library, and Excerpta Medica Data Base (EMBASE) were searched to retrieve articles from 2004 to 2014, applying predefined search terms and inclusion criteria. The extracted 10 articles were outlined in a narrative synthesis of Quality, Utility, Extent, Strength, Target and Setting of the evidence (QUESTS). Majority (75%) of the respondents admitted using SNSs, whereas 20% used these sites for sharing academic and educational information. No single study explored the impact of the SNSs on the academic performance. Understanding and knowledge of the significant use of SNSs by the medical students demand inclusion of such domains in medical curricula. This will train tomorrow's doctors in fostering their skills of digital technology for educational purposes.

#LancerHealth: Using Twitter and Instagram as a tool in a campus wide health promotion initiative

Directory of Open Access Journals (Sweden)

Sara Santarossa

2018-04-01

Full Text Available The present study aimed to explore using popular technology that people already have/use as a health promotion tool, in a campus wide social media health promotion initiative, entitled #LancerHealth. During a two-week period the university community was asked to share photos on Twitter and Instagram of What does being healthy on campus look like to you?, while tagging the image with #LancerHealth. All publically tagged media was collected using the Netlytic software and analysed. Text analysis (N=234 records, Twitter; N=141 records, Instagram revealed that the majority of the conversation was positive and focused on health and the university. Social network analysis, based on five network properties, showed a small network with little interaction. Lastly, photo coding analysis (N=71 unique image indicated that the majority of the shared images were of physical activity (52% and on campus (80%. Further research into this area is warranted.

THE IMPACTS OF SOCIAL NETWORKING SITES IN HIGHER LEARNING

OpenAIRE

Mohd Ishak Bin Ismail; Ruzaini Bin Abdullah Arshah

2016-01-01

Social networking sites, a web-based application have permeated the boundary between personal lives and student lives. Nowadays, students in higher learning used social networking site such as Facebook to facilitate their learning through the academic collaboration which it further enhances students’ social capital. Social networking site has many advantages to improve students’ learning. To date, Facebook is the leading social networking sites at this time which it being widely used by stude...

Academic information on Twitter: A user survey.

Directory of Open Access Journals (Sweden)

Ehsan Mohammadi

Full Text Available Although counts of tweets citing academic papers are used as an informal indicator of interest, little is known about who tweets academic papers and who uses Twitter to find scholarly information. Without knowing this, it is difficult to draw useful conclusions from a publication being frequently tweeted. This study surveyed 1,912 users that have tweeted journal articles to ask about their scholarly-related Twitter uses. Almost half of the respondents (45% did not work in academia, despite the sample probably being biased towards academics. Twitter was used most by people with a social science or humanities background. People tend to leverage social ties on Twitter to find information rather than searching for relevant tweets. Twitter is used in academia to acquire and share real-time information and to develop connections with others. Motivations for using Twitter vary by discipline, occupation, and employment sector, but not much by gender. These factors also influence the sharing of different types of academic information. This study provides evidence that Twitter plays a significant role in the discovery of scholarly information and cross-disciplinary knowledge spreading. Most importantly, the large numbers of non-academic users support the claims of those using tweet counts as evidence for the non-academic impacts of scholarly research.

Academic information on Twitter: A user survey.

Science.gov (United States)

Mohammadi, Ehsan; Thelwall, Mike; Kwasny, Mary; Holmes, Kristi L

2018-01-01

Although counts of tweets citing academic papers are used as an informal indicator of interest, little is known about who tweets academic papers and who uses Twitter to find scholarly information. Without knowing this, it is difficult to draw useful conclusions from a publication being frequently tweeted. This study surveyed 1,912 users that have tweeted journal articles to ask about their scholarly-related Twitter uses. Almost half of the respondents (45%) did not work in academia, despite the sample probably being biased towards academics. Twitter was used most by people with a social science or humanities background. People tend to leverage social ties on Twitter to find information rather than searching for relevant tweets. Twitter is used in academia to acquire and share real-time information and to develop connections with others. Motivations for using Twitter vary by discipline, occupation, and employment sector, but not much by gender. These factors also influence the sharing of different types of academic information. This study provides evidence that Twitter plays a significant role in the discovery of scholarly information and cross-disciplinary knowledge spreading. Most importantly, the large numbers of non-academic users support the claims of those using tweet counts as evidence for the non-academic impacts of scholarly research.

Building Community Through a #pulmcc Twitter Chat to Advocate for Pulmonary, Critical Care, and Sleep.

Science.gov (United States)

Carroll, Christopher L; Bruno, Kristi; Ramachandran, Pradeep

2017-08-01

Social media sites such as Twitter can significantly enhance education and advocacy efforts. In 2013, the American College of Chest Physicians (CHEST) launched a Twitter chat series using the hashtag #pulmcc to educate and advocate for topics related to pulmonary, critical care, and sleep medicine. To assess the reach of these chats, we analyzed the metrics using Symplur analytics, and compared data from each chat, as well as participant data. Since December 19, 2013, there have been 12 Twitter chats: six have been on critical care-related topics, four have been on pulmonary-/sleep-related topics, and two have been conducted during the CHEST annual meeting on more general topics. During these 1-h Twitter chats, there were a total of 4,212 tweets by 418 participants, resulting in 9,361,519 impressions (ie, views). There were similar numbers of participants and tweets in the three categories of Twitter chats, but there was a significantly greater reach during the more general Twitter chats conducted at the CHEST annual meeting, with 1,596,013 ± 126,472 impressions per chat session at these chats, compared with 739,203 ± 73,109 impressions per chat session during the critical care Twitter chats and 621,965 ± 123,933 impressions per chat session in the pulmonary/sleep chats. Seventy-five participants participated in two or more #pulmcc Twitter chats, and the average percent of return participants in each chat was 30% ± 7%. Most of the return participants were health-care providers. Twitter chats can be a powerful tool for the widespread engagement of a medical audience. Copyright © 2017 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Preservice Teachers' Microblogging: Professional Development via Twitter

Science.gov (United States)

Carpenter, Jeffrey

2015-01-01

Twitter has demonstrated potential to facilitate learning at the university level, and K-12 educators' use of the microblogging service Twitter to facilitate professional development appears to be on the rise. Research on microblogging as a part of teacher education is, however, limited. This paper investigates the use of Twitter by preservice…

Increased Use of Twitter at a Medical Conference: A Report and a Review of the Educational Opportunities

OpenAIRE

McKendrick, Douglas RA; Cumming, Grant P; Lee, Amanda J

2012-01-01

Background Most consider Twitter as a tool purely for social networking. However, it has been used extensively as a tool for online discussion at nonmedical and medical conferences, and the academic benefits of this tool have been reported. Most anesthetists still have yet to adopt this new educational tool. There is only one previously published report of the use of Twitter by anesthetists at an anesthetic conference. This paper extends that work. Objective We report the uptake and growth in...

Finding Street Gang Members on Twitter

OpenAIRE

Balasuriya, Lakshika; Wijeratne, Sanjaya; Doran, Derek; Sheth, Amit

2016-01-01

Most street gang members use Twitter to intimidate others, to present outrageous images and statements to the world, and to share recent illegal activities. Their tweets may thus be useful to law enforcement agencies to discover clues about recent crimes or to anticipate ones that may occur. Finding these posts, however, requires a method to discover gang member Twitter profiles. This is a challenging task since gang members represent a very small population of the 320 million Twitter users. ...

PRESS AND SOCIAL NETWORKING SERVICES IN THE INTERNET: APPROACHES TO THE RELATIONS OF TWO ARGENTINE ONLINE NEWSPAPERS WITH FACEBOOK AND TWITTER

Directory of Open Access Journals (Sweden)

Natalia Raimondo Anselmino

2013-12-01

Full Text Available This article describes the incorporation of the social networks resources on Internet into digital interfaces of the two main Argentine newspapers, Clarín and La Nación, as well as the ways in which these online newspapers manage and use their official accounts on Facebook (FB and Twitter (TW. Such reflections are part of the first stage of a research project which aims to understand the relationship established, at present, between digital media and social networking, to account for the impact of the latter both the link to the press with his readership as in the press-public sphere relationship. As we have seen until now, these observed online newspapers use their official accounts on FB and TW for several purposes: to get viral spread of content; to establish a direct contact with the public; to get the audience involved and encourage their participation; to consolidate their own positions into the social networks; and to get users to control the quality of his speeches on the Internet. Besides, the incorporation of the social networks resources on these online newspapers would impact, specially, on news circulation process since a piece of news is no longer a stable unit and gets modified as the story travels through Internet social networks.

Press and social networking services in the internet: approaches to the relations of two Argentine online newspapers with Facebook and Twitter

Directory of Open Access Journals (Sweden)

Natalia Raimondo Anselmino

2013-12-01

Full Text Available This article describes the incorporation of the social networks resources on Internet into digital interfaces of the two main Argentine newspapers, Clarín and La Nación, as well as the ways in which these online newspapers manage and use their official accounts on Facebook (FB and Twitter (TW. Such reflections are part of the first stage of a research project which aims to understand the relationship established, at present, between digital media and social networking, to account for the impact of the latter both the link to the press with his readership as in the press-public sphere relationship. As we have seen until now, these observed online newspapers use their official accounts on FB and TW for several purposes: to get viral spread of content; to establish a direct contact with the public; to get the audience involved and encourage their participation; to consolidate their own positions into the social networks; and to get users to control the quality of his speeches on the Internet. Besides, the incorporation of the social networks resources on these online newspapers would impact, specially, on news circulation process since a piece of news is no longer a stable unit and gets modified as the story travels through Internet social networks.

Exploiting Innocuous Activity for Correlating Users Across Sites

OpenAIRE

Goga , Oana; Lei , Howard; Parthasarathi , Sree Hari Krishnan; Friedland , Gerald; Sommer , Robin; Teixeira , Renata

2013-01-01

International audience; We study how potential attackers can identify accounts on different social network sites that all belong to the same user, exploiting only innocuous activity that inherently comes with posted content. We examine three specific features on Yelp, Flickr, and Twitter: the geo-location attached to a user's posts, the timestamp of posts, and the user's writing style as captured by language models. We show that among these three features the location of posts is the most powe...

Application of neural networks to waste site screening

International Nuclear Information System (INIS)

Dabiri, A.E.; Garrett, M.; Kraft, T.; Hilton, J.; VanHammersveld, M.

1993-02-01

Waste site screening requires knowledge of the actual concentrations of hazardous materials and rates of flow around and below the site with time. The present approach consists primarily of drilling boreholes near contaminated sites and chemically analyzing the extracted physical samples and processing the data. This is expensive and time consuming. The feasibility of using neural network techniques to reduce the cost of waste site screening was investigated. Two neural network techniques, gradient descent back propagation and fully recurrent back propagation were utilized. The networks were trained with data received from Westinghouse Hanford Corporation. The results indicate that the network trained with the fully recurrent technique shows satisfactory generalization capability. The predicted results are close to the results obtained from a mathematical flow prediction model. It is possible to develop a new tool to predict the waste plume, thus substantially reducing the number of the bore sites and samplings. There are a variety of applications for this technique in environmental site screening and remediation. One of the obvious applications would be for optimum well siting. A neural network trained from the existing sampling data could be utilized to decide where would be the best position for the next bore site. Other applications are discussed in the report

How people react to Zika virus outbreaks on Twitter? A computational content analysis.

Science.gov (United States)

Fu, King-Wa; Liang, Hai; Saroha, Nitin; Tse, Zion Tsz Ho; Ip, Patrick; Fung, Isaac Chun-Hai

2016-12-01

Zika-related Twitter incidence peaked after the World Health Organization declared an emergency. Five themes were identified from Zika-related Twitter content: (1) societal impact of the outbreak; (2) government, public and private sector, and general public responses to the outbreak; (3) pregnancy and microcephaly: negative health consequences related to pregnant women and babies; (4) transmission routes; and (5) case reports. User-generated contents sites were preferred direct information channels rather than those of the government authorities. Copyright © 2016 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Twitter and Physics Professional Development

Science.gov (United States)

Nadji, Taoufik

2016-01-01

The advent of Twitter® and other social media services of its type ushered in a new era of professional development in education. This article addresses how a group of users have been employing Twitter to conduct professional development sessions that would benefit their participants by advancing their pedagogical approaches to learning and…

Conversations and Campaign Dynamics in a Hybrid Media Environment: Use of Twitter by Members of the German Bundestag

Directory of Open Access Journals (Sweden)

Christian Nuernbergk

2016-02-01

Full Text Available This article examines how Members of the German Bundestag (MdBs used Twitter in the context of the country’s 2013 federal elections. In particular, we explore the dynamics in the MdBs’ use of Twitter during different periods of the electoral term: How do the tweeting habits of MdBs differ by party before and during the election campaign in (a public versus personal communication and (b campaign versus policy messages? How are the selection of interaction partners, centralization on leading actors, and reciprocity of the MdBs’ Twitter networks affected by election campaigning? We address these questions by conducting a content analysis combined with a network analysis of interaction patterns. The comparative application of both methods explains the differences of MdBs’ networks. The comparison clearly exhibits election campaign-driven changes related to the amount of activity and the character of tweeted messages. During the campaign period, MdBs’ tweets clearly discussed specific policies less than before. Tweeting about one’s personal life occurred also less frequently in the final campaign stage. Instead, the MdBs mainly complement other forms of election campaigning through a vivid metacommunication on campaign developments. Network relations reflect these variations and were less often reciprocated in proximity to the election and showed a higher degree of group homophily. We also found a substantial representation of print and broadcast media actors in the examined @reply networks. It is likely that these interactions and conversations with journalists are part of an MdB’s individual performance of “news management.”

As apropriações ativistas em sites de redes sociais: um olhar sobre as dinâmicas da ação coletiva no movimento #forasarney

Directory of Open Access Journals (Sweden)

Jandré Corrêa Batista

2013-04-01

Full Text Available This paper aims to study the appropriation of Twitter (twitter.com for activists ends. To this end, we intend to present the analysis of intentionality (Thompson, 2000 of symbolic forms perceived in the appropriations social networking site (Boyd and Elisson, 2006 in case # forasarney. From the Depth Hermeneutics of Thompson (2000, the study interprets five intentions: convocacional, informational, divulgacional, feedback and conversational. The messages were classified by analyzing categorical content analysis of Bardin (2009, interpreted in accordance with its purposes.

Exploring Educational and Cultural Adaptation through Social Networking Sites

Science.gov (United States)

Ryan, Sherry D.; Magro, Michael J.; Sharp, Jason H.

2011-01-01

Social networking sites have seen tremendous growth and are widely used around the world. Nevertheless, the use of social networking sites in educational contexts is an under explored area. This paper uses a qualitative methodology, autoethnography, to investigate how social networking sites, specifically Facebook[TM], can help first semester…

Evaluating the Use of Twitter to Enhance the Educational Experience of a Medical School Surgery Clerkship.

Science.gov (United States)

Reames, Bradley N; Sheetz, Kyle H; Englesbe, Michael J; Waits, Seth A

2016-01-01

Although it has been suggested that social-networking services such as Twitter could be used as a tool for medical education, few studies have evaluated its use in this setting. We sought to evaluate the use of Twitter as a novel educational tool in a medical school surgery clerkship. We hypothesized that Twitter can enhance the educational experience of clerkship students. We performed a prospective observational study. We created a new Twitter account, and delivered approximately 3 tweets per day consisting of succinct, objective surgical facts. Students were administered pre- and postclerkship surveys, and aggregate test scores were obtained for participating students and historical controls. Required third-year medical school surgery clerkship at the University of Michigan large tertiary-care academic hospital. Third-year medical students. The survey response rate was 94%. Preclerkship surveys revealed that most (87%) students have smartphones, and are familiar with Twitter (80% have used before). Following completion of the clerkship, most students (73%) reported using the Twitter tool, and 20% used it frequently. Overall, 59% believed it positively influenced their educational experience and very few believed it had a negative influence (2%). However, many (53%) did not believe it influenced their clerkship engagement. Aggregate mean National Board of Medical Examiners Shelf Examination scores were not significantly different in an analysis of medical student classes completing the clerkship before or after the Twitter tool (p = 0.37). Most of today's learners are familiar with social media, and own the technology necessary to implement novel educational tools in this platform. Applications such as Twitter can be facile educational tools to supplement and enhance the experience of students on a medical school clerkship. Copyright © 2015 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Twitter as driver of stock price

OpenAIRE

Jubbega, Annika

2012-01-01

The goal of this research is to examine the dynamic relationship of Twitter and stock price, by examining the effects for the ten most valuable brands according Interbrand (2010): Coca-Cola, IBM, Microsoft, Google, McDonald’s, Intel, Nokia, Disney, Toyota and Cisco. A VAR modelling approach captures the short and long term effects of Twitter to stock price and stock price to Twitter. Effects were found for 5 of the 10 brand. For Coca-Cola and Toyota, the number of brand sentiment tweets dri...

Spatial Associations and Network Dynamics Between the Vaccine Exemption Dicsussion in Twitter and the Corresponding Geographic Space

Science.gov (United States)

Coronado, Alejandra

Recent outbreaks of vaccine-preventable diseases in the United States have drawn attention to the phenomena of vaccine hesitancy and refusal. Hesitancy is seen through the increasing use of exemptions from state vaccine mandates and the recent use of social media for expressing opinions and perspectives related to vaccination. This research places the vaccination narrative into a geographic context and seeks to understand the relationship between vaccine refusal in physical space and the vaccine discussion in cyberspace. Vaccines have long been considered an effective means of eradicating diseases. Recently, however, California has experienced a decline in vaccination rates and an increase in vaccine exemptions. Until the passing of Senate Bill 277 (SB277) in 2015, children were allowed by California law to skip immunizations if a parent submitted a personal beliefs exemption (PBEs). Under SB277, children who are not vaccinated cannot attend school. Some children are still allowed to skip immunizations by submitting a medical exemption (PMEs) at enrollment. Other children are conditionally admitted to school on the 'condition' that they complete any remaining vaccinations when due. This research analyzed the spatial distribution of vaccine exemptions in kindergarten schools in California using the 2015-2016 school immunization data. The two methods used for analysis included Kernel Density Estimation (KDE) and choropleth maps using data aggregated by county. The results from the choropleth maps show that personal belief exemptions for public, private, and charter kindergarten schools are highly concentrated in northern and rural counties. Aggregating vaccine exemptions at the county level and normalizing by school enrollment showed that counties with high ratios of vaccine exemptions vary across public, private, and charter schools. This research also explored the diffusion networks of the vaccine exemption topic in Twitter. Twitter messages related to the

Twitter accounts followed by Congressional health staff.

Science.gov (United States)

Grande, David; Meisel, Zachary F; Merchant, Raina M; Seymour, Jane; Gollust, Sarah E

2017-07-01

Although health policy research should inform policy making, the communication gap between researchers and policy makers limits successful translation. Social media represents a new opportunity to connect researchers and policy makers. Our objective was to assess who Congressional health policy staff follow on a major social media platform. Cross-sectional study. Our study measured Congressional health policy staff's use of Twitter and the types of individuals and organizations they follow. To focus on more influential Twitter accounts, we restricted our sample to those followed by at least 3 individual Congressional staff members. Of the 30,843 accounts followed by the 115 Congressional health policy staff, 1273 were potentially policy-related and followed by 3 or more staff. Of these, few were academically affiliated (2.4%) or explicitly health-related (5.6%) sites; many were general news media sources (50.9%) and political and governmental sources (36.4%). Health-focused accounts were frequently connected to the news media or government rather than academia. Top accounts followed (ie, highest quintile) were most likely to be national news organizations (odds ratio [OR], 5.88; 95% confidence interval [CI], 1.75-19.7) and elected officials (OR, 8.22; 95% CI, 1.75-38.6) compared with advocacy and interest groups. Health-related and academic sources are largely absent from the Twitter conversations with US Congressional health policy staff. Even within social media, traditional and political news media are important information intermediaries that researchers and journals should target to disseminate health policy evidence.

Increased use of Twitter at a medical conference: a report and a review of the educational opportunities.

Science.gov (United States)

McKendrick, Douglas R A; Cumming, Grant P; Lee, Amanda J

2012-12-11

Most consider Twitter as a tool purely for social networking. However, it has been used extensively as a tool for online discussion at nonmedical and medical conferences, and the academic benefits of this tool have been reported. Most anesthetists still have yet to adopt this new educational tool. There is only one previously published report of the use of Twitter by anesthetists at an anesthetic conference. This paper extends that work. We report the uptake and growth in the use of Twitter, a microblogging tool, at an anesthetic conference and review the potential use of Twitter as an educational tool for anesthetists. A unique Twitter hashtag (#WSM12) was created and promoted by the organizers of the Winter Scientific Meeting held by The Association of Anaesthetists of Great Britain and Ireland (AAGBI) in London in January 2012. Twitter activity was compared with Twitter activity previously reported for the AAGBI Annual Conference (September 2011 in Edinburgh). All tweets posted were categorized according to the person making the tweet and the purpose for which they were being used. The categories were determined from a literature review. A total of 227 tweets were posted under the #WSM12 hashtag representing a 530% increase over the previously reported anesthetic conference. Sixteen people joined the Twitter stream by using this hashtag (300% increase). Excellent agreement (κ = 0.924) was seen in the classification of tweets across the 11 categories. Delegates primarily tweeted to create and disseminate notes and learning points (55%), describe which session was attended, undertake discussions, encourage speakers, and for social reasons. In addition, the conference organizers, trade exhibitors, speakers, and anesthetists who did not attend the conference all contributed to the Twitter stream. The combined total number of followers of those who actively tweeted represented a potential audience of 3603 people. This report demonstrates an increase in uptake and

Assessing the integration of Twitter into the strategic operations of sporting organisations: the case of national governing bodies for sports in England

Directory of Open Access Journals (Sweden)

Simon Chadwick

2013-01-01

Full Text Available Twitter, a social media application, has opened up communicative avenues for many stakeholders in the sports industry. The pervasive and rapid emergence of Twitter has given sports business and management researchers an opportunity to explore the strategic exploitation of the application by all kinds of sporting organisations. The purpose of this paper is to assess how sporting organisations’ social media content helps them achieve their strategic goals in terms of engagement and persuasion. To this end, the paper empirically examines how nine national governing bodiesfor various sports in England use Twitter. The study’s results accentuate the opportunities that these organisations have to use Twitter to achieve their ultimate goal of increasing participation in their respective sports. Accordingly, the paper recommends that these sporting organisations adopt proactive approaches to the way they use social media/networking and integrate Twitter into their strategic operations.

THE IMPACTS OF SOCIAL NETWORKING SITES IN HIGHER LEARNING

Directory of Open Access Journals (Sweden)

Mohd Ishak Bin Ismail

2016-02-01

Full Text Available Social networking sites, a web-based application have permeated the boundary between personal lives and student lives. Nowadays, students in higher learning used social networking site such as Facebook to facilitate their learning through the academic collaboration which it further enhances students’ social capital. Social networking site has many advantages to improve students’ learning. To date, Facebook is the leading social networking sites at this time which it being widely used by students in higher learning to communicate to each other, to carry out academic collaboration and sharing resources. Learning through social networking sites is based on the social interaction which learning are emphasizing on students, real world resources, active students` participation, diversity of learning resources and the use of digital tools to deliver meaningful learning. Many studies found the positive, neutral and negative impact of social networking sites on academic performance. Thus, this study will determine the relationship between Facebook usage and academic achievement. Also, it will investigate the association of social capital and academic collaboration to Facebook usage.

El liderazgo político en la era digital: un análisis de uso de Twitter por el Papa Francisco (@Pontifex

Directory of Open Access Journals (Sweden)

Clara De Uribe Salazar

2016-10-01

Full Text Available El uso de las redes sociales por personalidades y celebridades es un creciente interés para la ciencia. En este artículo se discute el uso de Twitter que hace que el Papa Francisco, elegido como Sumo Pontífice de la Iglesia Católica en 2013. El uso de una metodología de medición cualitativa y cuantitativa ad hoc se contaron y se analizaron los tweets publicados entre marzo de 2013 y abril de 2016 (1132 días. Hay un cambio en el estilo de comunicación del Papa en Twitter, ya que utiliza más frases cortas y directas siguiendo un estilo más innovador de liderazgo social y político, tratando de identificarse con sus seguidores. Political leadership in the digital age: an analysis of the use of Twitter by Pope Francisco (@Pontifex Abstract  The use of social networks by personalities and celebrities is an area of growing interest in science. This article discusses the use of Twitter by Pope Francisco, chosen as supreme pontiff of the Catholic Church in 2013. Using an ad hoc qualitative and quantitative measurement method, the tweets published between March 2013 and April 2016 (1132 days were counted and analysed. There has been a change in the communication style of the Pope on Twitter. Shorter and more direct sentences are used, following a more innovative style of social and political leadership, in which the Pope tries to empathize with his followers. Keywords: social network, Twitter, communication, leadership, politics, religion

Connecting Mobile Users Through Mobile Social Networks

Directory of Open Access Journals (Sweden)

Faisal Alkhateeb

2012-10-01

Full Text Available Nowadays, social networks become popular with the emerging of web-based social networking services. Recently, several mobile services are developed to connect users to their favourite social networks such as Facebook, Twitter, Flickr, etc. However, these services depends upon the existing web-based social networks. In this paper, we present a mobile service for joining groups across communities. The originality of the work is that the framework of the service allows creating and joining social networks that are self-contained for mobile company servers. The service consists of several sub-services such as users invitation, group finding and others. Users, regardless of their disability, can use the service and its sub-services without the need to create their own accounts on social web sites and thus their own groups. We also propose a privacy control policy for mobile social networks.

Online and Offline Social Networks: Use of Social Networking Sites by Emerging Adults

Science.gov (United States)

Subrahmanyam, Kaveri; Reich, Stephanie M.; Waechter, Natalia; Espinoza, Guadalupe

2008-01-01

Social networking sites (e.g., MySpace and Facebook) are popular online communication forms among adolescents and emerging adults. Yet little is known about young people's activities on these sites and how their networks of "friends" relate to their other online (e.g., instant messaging) and offline networks. In this study, college students…

The relationship between online social networking and depression : a systematic review of quantitative studies

OpenAIRE

Baker, David; Perez Algorta, Guillermo Daniel

2016-01-01

Online social networking sites (SNSs) such as Facebook, Twitter, and MySpace are used by billions of people every day to communicate and interact with others. There has been increasing interest in the potential impact of online social networking on wellbeing, with a broadening body of new research into factors associated with both positive and negative mental health outcomes such as depression. This systematic review of empirical studies (n=30) adds to existing research in this field by exami...

Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado.

Science.gov (United States)

Cooper, Guy Paul; Yeager, Violet; Burkle, Frederick M; Subbarao, Italo

2015-06-29

This article describes a novel triangulation methodological approach for identifying twitter activity of regional active twitter users during the 2013 Hattiesburg EF-4 Tornado. A data extraction and geographically centered filtration approach was utilized to generate Twitter data for 48 hrs pre- and post-Tornado. The data was further validated using six sigma approach utilizing GPS data. The regional analysis revealed a total of 81,441 tweets, 10,646 Twitter users, 27,309 retweets and 2637 tweets with GPS coordinates. Twitter tweet activity increased 5 fold during the response to the Hattiesburg Tornado.  Retweeting activity increased 2.2 fold. Tweets with a hashtag increased 1.4 fold. Twitter was an effective disaster risk reduction tool for the Hattiesburg EF-4 Tornado 2013.

Tracking Gauteng thunderstorms using Crowdsourced Twitter data between Soweto and Pretoria

Directory of Open Access Journals (Sweden)

Laurie Butgereit

2014-12-01

Full Text Available Summer thunderstorms in Gauteng are often dramatic, noisy, wet events. They can appear suddenly on exceptionally hot sunny days travelling fast across the province. With such dramatic arrivals, people often flock to social media sites such as Twitter to comment on the rain, wind, hail, lightning and thunder. This paper investigates the possibility of mapping the track of Gauteng thunderstorms by using crowdsourced data from Twitter. This paper describes a model (entitled the ThunderChatter Model and instantiation of that model which extracts data from Twitter, analyses the textual information for thunderstorm information and plots the appropriate data on a map. For evaluation purposes, these generated maps are then compared against lightning-stroke maps provided by the South African Weather Service. The maps are visually compared by independent people using Content Analysis techniques ensuring unbiased and reproducible results. The results of this research are mixed. For thunderstorms which traverse the strip of land between Soweto and Pretoria more or less correlated to the N1 highway (and representing the most heavily populated area of Gauteng and the area with the highest percentage of home Internet facilities, the results are excellent. However, in outlying areas of Gauteng such as Carletonville, Heidelberg, Hammanskraal and Bronkhorstspruit, the thunderstorms are only trackable using crowdsourced Twitter data in the case of extreme storms which damage property. The results imply that data obtained from social media could be used in some cases to supplement geographical data obtained from traditional sources.

Exploratory community sensing in social networks

Science.gov (United States)

Khrabrov, Alexy; Stocco, Gabriel; Cybenko, George

2010-04-01

Social networks generally provide an implementation of some kind of groups or communities which users can voluntarily join. Twitter does not have this functionality, and there is no notion of a formal group or community. We propose a method for identification of communities and assignment of semantic meaning to the discussion topics of the resulting communities. Using this analysis method and a sample of roughly a month's worth of Tweets from Twitter's "gardenhose" feed, we demonstrate the discovery of meaningful user communities on Twitter. We examine Twitter data streaming in real time and treat it as a sensor. Twitter is a social network which pioneered microblogging with the messages fitting an SMS, and a variety of clients, browsers, smart phones and PDAs are used for status updates by individuals, businesses, media outlets and even devices all over the world. Often an aggregate trend of such statuses may represent an important development in the world, which has been demonstrated with the Iran and Moldova elections and the anniversary of the Tiananmen in China. We propose using Twitter as a sensor, tracking individuals and communities of interest, and characterizing individual roles and dynamics of their communications. We developed a novel algorithm of community identification in social networks based on direct communication, as opposed to linking. We show ways to find communities of interest and then browse their neighborhoods by either similarity or diversity of individuals and groups adjacent to the one of interest. We use frequent collocations and statistically improbable phrases to summarize the focus of the community, giving a quick overview of its main topics. Our methods provide insight into the largest social sensor network in the world and constitute a platform for social sensing.

Factors for Successful Use of Social Networking Sites in Higher Education

Directory of Open Access Journals (Sweden)

L Schlenkrich

2012-09-01

Full Text Available Social networking sites are extremely popular online destinations that offer users easy ways to build and maintain relationships with each other, and to disseminate information in an activity referred to as social networking. Students, lecturers, teachers, parents and businesses, in increasing numbers, use tools available on social networking sites to communicate with each other in a fast and cost-effective manner. The use of social networking sites to support educational initiatives has received much attention. However, the full potential of social network sites has yet to be achieved as users continue to strive for optimal ways of using these sites, as well as battle to overcome the negative characteristics (for example, privacy, security, governance, user behaviour, information quality of these sites. This paper proposes factors for successful use of social networking sites in higher educational institutions. These success factors need to be adopted by users in order to develop the positive aspects of social networking, while at the same time mitigating the negative characteristics. An initial set of factors for successful use of social networking sites, as well as measures to test successful use of social networking sites were derived from the literature. These factors were tested by means of an online survey of students at a university, the results of which informed the final factors for successful use of social networking sites. The factors enable users to overcome the negative characteristics associated with social networking sites. If used successfully, social networking sites can offer lecturers and students a useful tool with which to develop their relationship and contribute to their learning experience.

Social Networking Privacy—Who’s Stalking You?

Directory of Open Access Journals (Sweden)

Diane Gan

2015-03-01

Full Text Available This research investigates the privacy issues that exist on social networking sites. It is reasonable to assume that many Twitter users are unaware of the dangers of uploading a tweet to their timeline which can be seen by anyone. Enabling geo-location tagging on tweets can result in personal information leakage, which the user did not intend to be public and which can seriously affect that user’s privacy and anonymity online. This research demonstrates that key information can easily be retrieved using the starting point of a single tweet with geo-location turned on. A series of experiments have been undertaken to determine how much information can be obtained about a particular individual using only social networking sites and freely available mining tools. The information gathered enabled the target subjects to be identified on other social networking sites such as Foursquare, Instagram, LinkedIn, Facebook and Google+, where more personal information was leaked. The tools used are discussed, the results of the experiments are presented and the privacy implications are examined.

Incorporating twitter-based human activity information in spatial analysis of crashes in urban areas.

Science.gov (United States)

Bao, Jie; Liu, Pan; Yu, Hao; Xu, Chengcheng

2017-09-01

The primary objective of this study was to investigate how to incorporate human activity information in spatial analysis of crashes in urban areas using Twitter check-in data. This study used the data collected from the City of Los Angeles in the United States to illustrate the procedure. The following five types of data were collected: crash data, human activity data, traditional traffic exposure variables, road network attributes and social-demographic data. A web crawler by Python was developed to collect the venue type information from the Twitter check-in data automatically. The human activities were classified into seven categories by the obtained venue types. The collected data were aggregated into 896 Traffic Analysis Zones (TAZ). Geographically weighted regression (GWR) models were developed to establish a relationship between the crash counts reported in a TAZ and various contributing factors. Comparative analyses were conducted to compare the performance of GWR models which considered traditional traffic exposure variables only, Twitter-based human activity variables only, and both traditional traffic exposure and Twitter-based human activity variables. The model specification results suggested that human activity variables significantly affected the crash counts in a TAZ. The results of comparative analyses suggested that the models which considered both traditional traffic exposure and human activity variables had the best goodness-of-fit in terms of the highest R 2 and lowest AICc values. The finding seems to confirm the benefits of incorporating human activity information in spatial analysis of crashes using Twitter check-in data. Copyright © 2017 Elsevier Ltd. All rights reserved.

Comunicación empresarial de las empresas del IBEX 35 en Twitter/ Business communication IBEX 35 companies across Twitter

Directory of Open Access Journals (Sweden)

Marián Alonso González

2016-01-01

Full Text Available Las nuevas tecnologías de la información han modificado las estrategias de la comunicación empresarial. Las herramientas derivadas de la Web 2.0, y en concreto, las redes sociales incorporan nuevos paradigmas en el manejo de la comunicación hasta el punto de transformar la relación que tradicionalmente mantenían los usuarios con las corporaciones. A lo largo de este artículo, y mediante una metodología de investigación cuantitativa, analizamos la comunicación que desarrollan las empresas del IBEX 35 a través de la red social Twitter para evidenciar la importancia que las empresas conceden a esta plataforma a la hora de crear una imagen exterior coherente y que favorezca su posicionamiento en el mercado. New technologies of the information have modified the strategies of the business communication. Social networks have transformed the relation that traditionally the users were supporting with the corporations. From a quantitative research methodology, this paper present the communication that the companies of IBEX 35 develop in Twitter to demonstrate the importance that the companies give to this platforms to generate an coherent image and strength their position in the market.

Vliv nálady na sociální síti Twitter na kurz akciových titulů

OpenAIRE

Fiala, Vojtěch

2015-01-01

This diploma thesis deals with a question of identification of causality between sentiment on social network Twitter and a price of specific, publicly traded stocks on New York Stock Exchange (NYSE). By a multi criteria analysis were chosen stocks of Microsoft Corporation and Apple Inc. There is constructed a model, which identifies authors messages on Twitter -- tweets and sentiment which they carry in relation to companies. Success of this model is examined by both qualitative and quantitat...

Web 2.0 Socail Network Sites And Facebook Marketing

Directory of Open Access Journals (Sweden)

Andreas Chang

2011-11-01

Full Text Available The use of Web 2.0 and Social Network Sites (SNS has become an amazing phenomenon. In fact, one of the fastest-growing arenas of the World Wide Web is the space of so-called social networking sites. Face book, Tweeter, MySpace and other Social Network Sites have huge population of users. Almost seven hundred million people use Facebook, and hundreds of million others use other social networking sites. More and more advertisers switch their marketing budget to these SNS. This study contributes to our understanding of the Web 2.0 and the use of social networking websites by examining available literature. It seeks to understand what Web 2.0 and SNS mean, the trends, its functions and how they can be leveraged for marketing purposes.

Biodiversity data mining from Argus-eyed citizens: the first illegal introduction record of Lepomis macrochirus macrochirus Rafinesque, 1819 in Japan based on Twitter information.

Science.gov (United States)

Miyazaki, Yusuke; Teramura, Akinori; Senou, Hiroshi

2016-01-01

An apparent illegal introduction of Lepomis macrochirus macrochirus from Yokohama City, Kanagawa Prefecture, Japan, is reported based on a juvenile specimen and a photograph of two adults collected on 14 June 2015 and deposited in the Kangawa Prefectural Museum of Natural History. The specimens and photographs were initially reported on the internet-based social networking site, Twitter. Two specimens of Carassius auratus, including an aquarium form, were also reported at the same locality and date, suggesting that the illegal introductions originated from an aquarium release. Our report demonstrates an example of web data mining in the discipline of Citizen Science.

Privacy and Social Networking Sites

Science.gov (United States)

Timm, Dianne M.; Duven, Carolyn J.

2008-01-01

College students are relying on the Internet to make connections with other people every day. As the Internet has developed and grown, so have the capabilities for interaction. Social networking sites, a group of Web sites that provide people with the opportunity to create an online profile and to share that profile with others, are a part of…

Facebook & Twitter for seniors for dummies

CERN Document Server

Collier, Marsha

2014-01-01

New to social media? This easy-to-use guide will get you started in no time! Social media is a ton of fun, and this updated guide makes it easy to set up a Facebook or Twitter account to catch up with old friends, communicate with your family, and enjoy your online experience. You'll get hands-on guidance to connecting to the Internet with a computer or mobile device, creating social media accounts and profiles, searching for friends, joining groups, sharing photos and videos, and more. If you're one of the 100+ million seniors using Facebook or other social media sites, this 2nd Edition of Fa

Getting started with Twitter Flight

CERN Document Server

Hamshere, Tom

2013-01-01

Getting Started with Twitter Flight is written with the intention to educate the readers, helping them learn how to build modular powerful applications with Flight, Twitter's cutting-edge JavaScript framework.This book is for anyone with a foundation in JavaScript who wants to build web applications. Flight is quick and easy to learn, built on technologies you already understand such as the DOM, events, and jQuery.

Mining twitter to understand the smoking cessation barriers.

Science.gov (United States)

Krittanawong, Chayakrit; Wang, Zhen

2017-10-26

Smoking cessation is challenging and lack of positive support is a known major barrier to quitting cigarettes. Previous studies have suggested that social influences might increase smokers' awareness of social norms for appropriate behavior, which might lead to smoking cessation. Although social media use is increasing among young adults in the United States, research on the relationship between social media use and smoking cessation is lacking. Twitter has provided a rich source of information for researchers, but no overview exists as to how the field uses Twitter in smoking cessation research. To the best of our knowledge, this study conducted a data mining analysis of Twitter to assess barriers to smoking cessation. In conclusion, Twitter is a cost-effective tool with the potential to disseminate information on the benefits of smoking cessation and updated research to the Twitter community on a global scale.

#DocsOnTwitter: How Physicians use Social Media to Build Social Capital.

Science.gov (United States)

Hanzel, Taylor; Richards, Jessica; Schwitters, Paige; Smith, Kirsten; Wendland, Kyle; Martin, Jamie; Keltgen, Jaciel

2017-08-29

Using social capital theory, Augustana University healthcare marketing students examined how medical professionals utilize social media to further engage with their communities. The team selected Twitter as the social media network from which to collect data because of its popularity and ease of use. The sample was drawn from 1,000 Twitter profiles that were retrieved from 24 keywords such as MD. A total of 3,378,285 tweets from this sample were collected and analyzed for content, use of hashtags, mobile device use, frequency, longevity, medical relevance, medical specialty, gender, and approximate age. This is an important first look, using Big Data, at how physicians parlay the popularity of social media to build social capital through sharing research with colleagues, connecting with patients and prospective patients, and extending their personal and employer brands to increasingly information-hungry and interactive consumers.

Apprehension of Youth towards Social Networking Sites: Two Sides of a Coin

OpenAIRE

Yukti Gulati; Shilpi Sharma

2014-01-01

Social networking sites are wide area of research. Rapid growth in Technology and Human Resources provides us new platform to build social networks. Today it has become highest point of concern to be aware of social networking sites and built networks. Since few years Social networking site has become very popular. There are different social networking sites for different purpose fulfillment. Orkut fails in the race of Social Networking Sites as compare to facebook. Although Fa...

Using social media to create a professional network between physician-trainees and the American Society of Nephrology.

Science.gov (United States)

Shariff, Afreen I; Fang, Xiangming; Desai, Tejas

2013-07-01

Twitter is the fastest growing social media network. It offers participants the ability to network with other individuals. Medical societies are interested in helping individuals network to boost recruitment, encourage collaboration, and assist in job placement. We hypothesized that the American Society of Nephrology (ASN) successfully used Twitter to create a network between participants and itself to stay connected with its members. Tweets from 3 Twitter networking sessions during Kidney Week 2011 were analyzed for content. These messages were used to create a network between all participants of the networking sessions. The network was analyzed for strength and influence by calculating clustering coefficients (CC) and eigenvector centrality (EC) scores, respectively. Eight moderators and 9 trainees authored 376 Twitter messages. Most tweets by trainees (64%) and moderators (61%) discussed 1 of 3 themes: networking, education, or navigating Kidney Week 2011. A total of 25 online network connections were established during the 3 sessions; 20% were bidirectional. The CC for the network was 0.300. All moderators formed at least 1 connection, but 7 of the 9 trainees failed to make any connections. ASN made 5 unidirectional and 0 bidirectional connections with a low EC of 0.108. ASN was unable to form powerful connections with trainees through Twitter, but medical societies should not be discouraged by the results reported in this investigation. As societies become more familiar with Twitter and understand the mechanisms to develop connections, these societies will have a greater influence within increasingly stronger networks. Copyright © 2013 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Electronic Cigarette Marketing Online: a Multi-Site, Multi-Product Comparison.

Science.gov (United States)

Chu, Kar-Hai; Sidhu, Anupreet K; Valente, Thomas W

2015-01-01

Electronic cigarette awareness and use has been increasing rapidly. E-cigarette brands have utilized social networking sites to promote their products, as the growth of the e-cigarette industry has paralleled that of Web 2.0. These online platforms are cost-effective and have unique technological features and user demographics that can be attractive for selective marketing. The popularity of multiple sites also poses a risk of exposure to social networks where e-cigarette brands might not have a presence. To examine the marketing strategies of leading e-cigarette brands on multiple social networking sites, and to identify how affordances of the digital media are used to their advantage. Secondary analyses include determining if any brands are benefitting from site demographics, and exploring cross-site diffusion of marketing content through multi-site users. We collected data from two e-cigarette brands from four social networking sites over approximately 2.5 years. Content analysis is used to search for themes, population targeting, marketing strategies, and cross-site spread of messages. Twitter appeared to be the most frequently used social networking site for interacting directly with product users. Facebook supported informational broadcasts, such as announcements regarding political legislation. E-cigarette brands also differed in their approaches to their users, from informal conversations to direct product marketing. E-cigarette makers use different strategies to market their product and engage their users. There was no evidence of direct targeting of vulnerable populations, but the affordances of the different sites are exploited to best broadcast context-specific messages. We developed a viable method to study cross-site diffusion, although additional refinement is needed to account for how different types of digital media are used.

Twitter and Non-Elites: Interpreting Power Dynamics in the Life Story of the (#)BRCA Twitter Stream.

Science.gov (United States)

Vicari, Stefania

2017-09-01

In May 2013 and March 2015, actress Angelina Jolie wrote in the New York Times about her choice to undergo preventive surgery. In her two op-eds, she explained that - as a carrier of the BRCA1 gene mutation - preventive surgery was the best way to lower her heightened risk of developing breast and ovarian cancer. By applying a digital methods approach to BRCA-related tweets from 2013 and 2015, before, during, and after the exposure of Jolie's story, this study maps and interprets Twitter discursive dynamics at two time points of the BRCA Twitter stream. Findings show an evolution in curation and framing dynamics occurring between 2013 and 2015, with individual patient advocates replacing advocacy organizations as top curators of BRCA content and coming to prominence as providers of specialist illness narratives. These results suggest that between 2013 and 2015, Twitter went from functioning primarily as an organization-centered news reporting mechanism, to working as a crowdsourced specialist awareness system. This article advances a twofold contribution. First, it points at Twitter's fluid functionality for an issue public and suggests that by looking at the life story-rather than at a single time point-of an issue-based Twitter stream, we can track the evolution of power roles underlying discursive practices and better interpret the emergence of non-elite actors in the public arena. Second, the study provides evidence of the rise of activist cultures that rely on fluid, non-elite, collective, and individual social media engagement.

Narcissism and Social Networking Behavior: A Meta-Analysis.

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Gnambs, Timo; Appel, Markus

2018-04-01

The increasing popularity of social networking sites (SNS) such as Facebook and Twitter has given rise to speculations that the intensity of using these platforms is associated with narcissistic tendencies. However, recent research on this issue has been all but conclusive. We present a three-level, random effects meta-analysis including 289 effect sizes from 57 studies (total N = 25,631) on the association between trait narcissism and social networking behavior. The meta-analysis identified a small to moderate effect of ρ = .17 (τ = .11), 95% CI [.13, .21], for grandiose narcissism that replicated across different social networking platforms, respondent characteristics, and time. Moderator analyses revealed pronounced cultural differences, with stronger associations in power-distant cultures. Moreover, social networking behaviors geared toward self-presentation and the number of SNS friends exhibited stronger effects than usage durations. Overall, the study not only supported but also refined the notion of a relationship between engaging in social networking sites and narcissistic personality traits. © 2017 Wiley Periodicals, Inc.

Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users' Views, Online Context and Algorithmic Estimation.

Science.gov (United States)

Williams, Matthew L; Burnap, Pete; Sloan, Luke

2017-12-01

New and emerging forms of data, including posts harvested from social media sites such as Twitter, have become part of the sociologist's data diet. In particular, some researchers see an advantage in the perceived 'public' nature of Twitter posts, representing them in publications without seeking informed consent. While such practice may not be at odds with Twitter's terms of service, we argue there is a need to interpret these through the lens of social science research methods that imply a more reflexive ethical approach than provided in 'legal' accounts of the permissible use of these data in research publications. To challenge some existing practice in Twitter-based research, this article brings to the fore: (1) views of Twitter users through analysis of online survey data; (2) the effect of context collapse and online disinhibition on the behaviours of users; and (3) the publication of identifiable sensitive classifications derived from algorithms.

Application of microlearning technique and Twitter for educational purposes

Science.gov (United States)

Aitchanov, B. H.; Satabaldiyev, A. B.; Latuta, K. N.

2013-04-01

The current paper reviews the usage of social resource such as Twitter in microlearning technique for educational purposes. The problem is that most of instructors are unaware that with the help of social networks the students' productivity can increase. The research is applied on CS205 Advanced Programming in C++ course at Suleyman Demirel University (Kazakhstan). The collected results show that in a modern world of emerging mobile technologies, we are as educators should improve the way of teaching by adding electronically supported learning methods. In this study, the significance of microlearning technique is proposed.

Twitter archiving using Twapper Keeper: technical and policy challenges

OpenAIRE

Kelly, Brian; Hawksey, Martin; O'Brien, John; Guy, Marieke; Rowe, Matthew

2010-01-01

Twitter is widely used in a range of different contexts, ranging from informal social communications and marketing purposes through to supporting various professional activities in teaching and learning and research. The growth in Twitter use has led to a recognition of the need to ensure that Twitter posts ('tweets') can be accessed and reused by a variety of third party applications. This paper describes development work to the Twapper Keeper Twitter archiving service to support use of Twit...

The Effects of Twitter Sentiment on Stock Price Returns.

Science.gov (United States)

Ranco, Gabriele; Aleksovski, Darko; Caldarelli, Guido; Grčar, Miha; Mozetič, Igor

2015-01-01

Social media are increasingly reflecting and influencing behavior of other complex systems. In this paper we investigate the relations between a well-known micro-blogging platform Twitter and financial markets. In particular, we consider, in a period of 15 months, the Twitter volume and sentiment about the 30 stock companies that form the Dow Jones Industrial Average (DJIA) index. We find a relatively low Pearson correlation and Granger causality between the corresponding time series over the entire time period. However, we find a significant dependence between the Twitter sentiment and abnormal returns during the peaks of Twitter volume. This is valid not only for the expected Twitter volume peaks (e.g., quarterly announcements), but also for peaks corresponding to less obvious events. We formalize the procedure by adapting the well-known "event study" from economics and finance to the analysis of Twitter data. The procedure allows to automatically identify events as Twitter volume peaks, to compute the prevailing sentiment (positive or negative) expressed in tweets at these peaks, and finally to apply the "event study" methodology to relate them to stock returns. We show that sentiment polarity of Twitter peaks implies the direction of cumulative abnormal returns. The amount of cumulative abnormal returns is relatively low (about 1-2%), but the dependence is statistically significant for several days after the events.

Ideological Consumerism in Colombian Elections, 2015: Links Between Political Ideology, Twitter Activity, and Electoral Results

Science.gov (United States)

Camargo, Jorge E.

2017-01-01

Abstract Propagation of political ideologies in social networks has shown a substantial impact on voting behavior. Both the contents of the messages (the ideology) and the politicians' influence on their online audiences (their followers) have been associated with such an impact. In this study we evaluate which of these factors exerted a major role in deciding electoral results of the 2015 Colombian regional elections by evaluating the linguistic similarity of political ideologies and their influence on the Twitter sphere. The electoral results proved to be strongly associated with tweets and retweets and not with the linguistic content of their ideologies or politicians' followers in Twitter. Finally, suggestions for new ways to analyze electoral processes are discussed. PMID:28080152

Ideological Consumerism in Colombian Elections, 2015: Links Between Political Ideology, Twitter Activity, and Electoral Results.

Science.gov (United States)

Correa, Juan C; Camargo, Jorge E

2017-01-01

Propagation of political ideologies in social networks has shown a substantial impact on voting behavior. Both the contents of the messages (the ideology) and the politicians' influence on their online audiences (their followers) have been associated with such an impact. In this study we evaluate which of these factors exerted a major role in deciding electoral results of the 2015 Colombian regional elections by evaluating the linguistic similarity of political ideologies and their influence on the Twitter sphere. The electoral results proved to be strongly associated with tweets and retweets and not with the linguistic content of their ideologies or politicians' followers in Twitter. Finally, suggestions for new ways to analyze electoral processes are discussed.

Twitter in the Higher Education Classroom: A Student and Faculty Assessment of Use and Perception

Science.gov (United States)

Jacquemin, Stephen J.; Smelser, Lisa K.; Bernot, Melody J.

2014-01-01

Social networking has become a prominent communication method in recent years. The objective of this study was to assess social media use and perception of utility in higher education classrooms among faculty, graduate, and undergraduate cohorts. As a case study, Twitter was included into a semester course to disseminate relevant course…

Emergency management, Twitter and social media evangelism

DEFF Research Database (Denmark)

Latonero, Mark; Shklovski, Irina

2011-01-01

media tools from the emergency management professional’s viewpoint with a particular focus on the use of Twitter. Limited research has investigated Twitter usage in crisis situations from an organizational perspective. This paper contributes to the understanding of organizational innovation, risk...... organizations face engaging with social media and Twitter. This article provides insights into practices and challenges of new media implementation for crisis and risk management organizations....

Companies on Facebook and Twitter. Current situation and communication strategies

Directory of Open Access Journals (Sweden)

JÁ Pérez Dasilva

2013-10-01

Full Text Available Introduction. Given their influence, companies are being forced to integrate social networks in their communication strategies. Objectives. This article aims to provide an overview of the use of Facebook and Twitter by the main commercial brands in Spain and to analyse the communication strategies of the companies that tend to receive more complaints from the public. Method. The study is based on the examination of the social network accounts of the three brands with the highest advertising investment in each of the 15 industry sectors. A total of 5,433 tweets and 3,000 posts were analysed. Conclusions. The study confirmed the massive presence of these companies is the social networks and demonstrated the extreme variability of the number of followers, the traffic and the nature of the information published. However, it was also demonstrated that the use made of the different social networks and the communication strategies required by the different companies are distinguishable and identifiable.

Legal Risks for Students Using Social Networking Sites

Science.gov (United States)

Henderson, Michael; de Zwart, Melissa; Lindsay, David; Phillips, Michael

2010-01-01

There are significant privacy, intellectual property, copyright and disclosure risks associated with the ill-considered use of social networking sites, however, the implementation of regulatory actions may also undermine the social and emerging educational utility of social networking sites for young people. Inevitably the burden of dealing with…

Learning by Tweeting: Using Twitter as a Pedagogical Tool

Science.gov (United States)

Rinaldo, Shannon B.; Tapp, Suzanne; Laverie, Debra A.

2011-01-01

Marketing professionals use Twitter extensively for communicating with and monitoring customers, for observing competitors, and for analyzing chatter concerning brands, products, and company image. Can professors use Twitter to engage students in conversation about a marketing course? The authors argue that Twitter has many benefits for marketing…

Trends in twitter use by physicians at the american society of clinical oncology annual meeting, 2010 and 2011.

Science.gov (United States)

Chaudhry, Aafia; Glodé, L Michael; Gillman, Matt; Miller, Robert S

2012-05-01

Social media channels such as Twitter are gaining increasing acceptance as mechanisms for instantaneous scientific dialogue. Professional medical societies such as ASCO are using social media to expand the reach of scientific communications at and around their scientific meetings. This article examines the how Twitter use by oncologists expanded at the ASCO Annual Meetings from 2010 to 2011. In both years, tweets that were specifically generated by physicians and that incorporated the official meeting hashtag were harvested from the public domain, and a discourse analysis was performed by three independent raters. Follow-up surveys were conducted to assess physician attitudes toward Twitter and its potential role in clinical practice. A combined total of 12,644 tweets were analyzed for 2010 and 2011. Although the number of physicians authoring tweets was small (14 in 2010, 34 in 2011), this group generated nearly 29% of the total meeting dialogue examined in this analysis in 2010 and 23% in 2011. Physicians used Twitter for reporting clinical news from scientific sessions, for discussions of treatment issues, for promotion, and to provide social commentary. The tangible impact of Twitter discussions on clinical practice remains unclear. Despite the 140-character limit, Twitter was successfully used by physicians at the 2010 and 2011 ASCO Annual Meetings to engage in clinical discussions, whether or not an author was on site as a live attendee. Twitter usage grew significantly from 2010 to 2011. Professional societies should monitor these phenomena to enhance annual meeting attendee user experience.

Message framing in social networking sites.

Science.gov (United States)

Kao, Danny Tengti; Chuang, Shih-Chieh; Wang, Sui-Min; Zhang, Lei

2013-10-01

Online social networking sites represent significant new opportunities for Internet advertisers. However, results based on the real world cannot be generalized to all virtual worlds. In this research, the moderating effects of need for cognition (NFC) and knowledge were applied to examine the impact of message framing on attitudes toward social networking sites. A total of 216 undergraduates participated in the study. Results reveal that for social networking sites, while high-NFC individuals form more favorable attitudes toward negatively framed messages than positively framed messages, low-NFC individuals form more favorable attitudes toward positively framed messages than negatively framed messages. In addition, low-knowledge individuals demonstrate more favorable attitudes toward negatively framed messages than positively framed messages; however, the framing effect does not differentially affect the attitudes of high-knowledge individuals. Furthermore, the framing effect does not differentially affect the attitudes of high-NFC individuals with high knowledge. In contrast, low-NFC individuals with low knowledge hold more favorable attitudes toward positively framed messages than negatively framed messages.

Characterizing and modeling an electoral campaign in the context of Twitter: 2011 Spanish Presidential election as a case study

Science.gov (United States)

Borondo, J.; Morales, A. J.; Losada, J. C.; Benito, R. M.

2012-06-01

Transmitting messages in the most efficient way as possible has always been one of politicians' main concerns during electoral processes. Due to the rapidly growing number of users, online social networks have become ideal platforms for politicians to interact with their potential voters. Exploiting the available potential of these tools to maximize their influence over voters is one of politicians' actual challenges. To step in this direction, we have analyzed the user activity in the online social network Twitter, during the 2011 Spanish Presidential electoral process, and found that such activity is correlated with the election results. We introduce a new measure to study political sentiment in Twitter, which we call the relative support. We have also characterized user behavior by analyzing the structural and dynamical patterns of the complex networks emergent from the mention and retweet networks. Our results suggest that the collective attention is driven by a very small fraction of users. Furthermore, we have analyzed the interactions taking place among politicians, observing a lack of debate. Finally, we develop a network growth model to reproduce the interactions taking place among politicians.

Characterizing and modeling an electoral campaign in the context of Twitter: 2011 Spanish Presidential election as a case study.

Science.gov (United States)

Borondo, J; Morales, A J; Losada, J C; Benito, R M

2012-06-01

Transmitting messages in the most efficient way as possible has always been one of politicians' main concerns during electoral processes. Due to the rapidly growing number of users, online social networks have become ideal platforms for politicians to interact with their potential voters. Exploiting the available potential of these tools to maximize their influence over voters is one of politicians' actual challenges. To step in this direction, we have analyzed the user activity in the online social network Twitter, during the 2011 Spanish Presidential electoral process, and found that such activity is correlated with the election results. We introduce a new measure to study political sentiment in Twitter, which we call the relative support. We have also characterized user behavior by analyzing the structural and dynamical patterns of the complex networks emergent from the mention and retweet networks. Our results suggest that the collective attention is driven by a very small fraction of users. Furthermore, we have analyzed the interactions taking place among politicians, observing a lack of debate. Finally, we develop a network growth model to reproduce the interactions taking place among politicians.

Citizens' Political Information Behaviors during Elections on Twitter in South Korea: Information Worlds of Opinion Leaders

Science.gov (United States)

Lee, Ji Sue

2016-01-01

This research investigated South Korean citizens' political information behaviors on Twitter during the 2014 Seoul Mayoral election. By using the mixed methods design of network analysis, tweet content analysis, and interviews, this research examined how citizens collaboratively engaged in the political communication and deliberation via Twitter…

Social Networking Sites and Addiction: Ten Lessons Learned.

Science.gov (United States)

Kuss, Daria J; Griffiths, Mark D

2017-03-17

Online social networking sites (SNSs) have gained increasing popularity in the last decade, with individuals engaging in SNSs to connect with others who share similar interests. The perceived need to be online may result in compulsive use of SNSs, which in extreme cases may result in symptoms and consequences traditionally associated with substance-related addictions. In order to present new insights into online social networking and addiction, in this paper, 10 lessons learned concerning online social networking sites and addiction based on the insights derived from recent empirical research will be presented. These are: (i) social networking and social media use are not the same; (ii) social networking is eclectic; (iii) social networking is a way of being; (iv) individuals can become addicted to using social networking sites; (v) Facebook addiction is only one example of SNS addiction; (vi) fear of missing out (FOMO) may be part of SNS addiction; (vii) smartphone addiction may be part of SNS addiction; (viii) nomophobia may be part of SNS addiction; (ix) there are sociodemographic differences in SNS addiction; and (x) there are methodological problems with research to date. These are discussed in turn. Recommendations for research and clinical applications are provided.

Social networking sites and older users - a systematic review

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Nef, Tobias; Ganea, Raluca L.; Müri, René M.; Mosimann, Urs P.

2017-01-01

BACKGROUND Social networking sites can be beneficial for senior citizens to promote social participation and to enhance intergenerational communication. Particularly for older adults with impaired mobility, social networking sites can help them to connect with family members and other active social networking users. The aim of this systematic review is to give an overview of existing scientific literature on social networking in older users. METHODS Computerized databases were sea...

Tweeting Supertyphoon Haiyan: Evolving Functions of Twitter during and after a Disaster Event

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David, Clarissa C.; Ong, Jonathan Corpus; Legara, Erika Fille T.

2016-01-01

When disaster events capture global attention users of Twitter form transient interest communities that disseminate information and other messages online. This paper examines content related to Typhoon Haiyan (locally known as Yolanda) as it hit the Philippines and triggered international humanitarian response and media attention. It reveals how Twitter conversations about disasters evolve over time, showing an issue attention cycle on a social media platform. The paper examines different functions of Twitter and the information hubs that drive and sustain conversation about the event. Content analysis shows that the majority of tweets contain information about the typhoon or its damage, and disaster relief activities. There are differences in types of content between the most retweeted messages and posts that are original tweets. Original tweets are more likely to come from ordinary users, who are more likely to tweet emotions, messages of support, and political content compared with official sources and key information hubs that include news organizations, aid organization, and celebrities. Original tweets reveal use of the site beyond information to relief coordination and response. PMID:27019425

Tweeting Supertyphoon Haiyan: Evolving Functions of Twitter during and after a Disaster Event.

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Clarissa C David

Full Text Available When disaster events capture global attention users of Twitter form transient interest communities that disseminate information and other messages online. This paper examines content related to Typhoon Haiyan (locally known as Yolanda as it hit the Philippines and triggered international humanitarian response and media attention. It reveals how Twitter conversations about disasters evolve over time, showing an issue attention cycle on a social media platform. The paper examines different functions of Twitter and the information hubs that drive and sustain conversation about the event. Content analysis shows that the majority of tweets contain information about the typhoon or its damage, and disaster relief activities. There are differences in types of content between the most retweeted messages and posts that are original tweets. Original tweets are more likely to come from ordinary users, who are more likely to tweet emotions, messages of support, and political content compared with official sources and key information hubs that include news organizations, aid organization, and celebrities. Original tweets reveal use of the site beyond information to relief coordination and response.

Theorizing Network-Centric Activity in Education

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HaLevi, Andrew

2011-01-01

Networks and network-centric activity are increasingly prevalent in schools and school districts. In addition to ubiquitous social network tools like Facebook and Twitter, educational leaders deal with a wide variety of network organizational forms that include professional development, advocacy, informational networks and network-centric reforms.…

Maintaining a Twitter Feed to Advance an Internal Medicine Residency Program’s Educational Mission

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Narang, Akhil; Arora, Vineet M

2015-01-01

Background Residency programs face many challenges in educating learners. The millennial generation’s learning preferences also force us to reconsider how to reach physicians in training. Social media is emerging as a viable tool for advancing curricula in graduate medical education. Objective The authors sought to understand how social media enhances a residency program’s educational mission. Methods While chief residents in the 2013-2014 academic year, two of the authors (PB, AN) maintained a Twitter feed for their academic internal medicine residency program. Participants included the chief residents and categorical internal medicine house staff. Results At the year’s end, the authors surveyed residents about uses and attitudes toward this initiative. Residents generally found the chief residents’ tweets informative, and most residents (42/61, 69%) agreed that Twitter enhanced their overall education in residency. Conclusions Data from this single-site intervention corroborate that Twitter can strengthen a residency program’s educational mission. The program’s robust following on Twitter outside of the home program also suggests a need for wider adoption of social media in graduate medical education. Improved use of data analytics and dissemination of these practices to other programs would lend additional insight into social media’s role in improving residents’ educational experiences. PMID:27731845

Twitter expands the reach and engagement of a national scientific meeting: the Irish Society of Urology.

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Nason, G J; O'Kelly, F; Bouchier-Hayes, D; Quinlan, D M; Manecksha, R P

2015-09-01

Social media is the interaction among people in which they create, share or exchange information and ideas in virtual communities and web-based networks. This year, the Irish Society of Urology (ISU) expanded its involvement in social media with a preregistered Twitter hashtag (#ISU14) for the annual meeting. The aim of this study was to highlight the use of Twitter at an annual national meeting held in 2014. The Symplur healthcare analytics website was used to prospectively examine traffic related to the 2014 ISU Annual Meeting. This feature was used to generate statistics for the number of impressions, unique tweets (excluding retweets) and distinct contributors who used the indexing hashtag #ISU14. Individual tweets were assessed using the conference hashtag on the Twitter website. The total number of attendees at the conference was 119, and 99 individuals participated in Twitter using the conference hashtag (#ISU14). 31 % of attendees participated in tweeting at the conference. Over the course of the conference, a total of 798 unique tweets were generated, creating over 665,000 impressions in cyberspace. 590 (73.9 %) tweets were generated from attendees at the conference, while 26.1 % of tweets were from virtual followers. 702 (87.9 %) tweets were from urologists and 439 (55 %) tweets were of scientific nature. Tweet activity peaked during the guest lectures on both days. Twitter use at the ISU has been shown to facilitate interaction between delegates and allows users to follow as well as participate from afar.

Classification of Twitter Users Who Tweet About E-Cigarettes

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Miano, Thomas; Chew, Robert; Eggers, Matthew; Nonnemaker, James

2017-01-01

Background Despite concerns about their health risks, e‑cigarettes have gained popularity in recent years. Concurrent with the recent increase in e‑cigarette use, social media sites such as Twitter have become a common platform for sharing information about e-cigarettes and to promote marketing of e‑cigarettes. Monitoring the trends in e‑cigarette–related social media activity requires timely assessment of the content of posts and the types of users generating the content. However, little is known about the diversity of the types of users responsible for generating e‑cigarette–related content on Twitter. Objective The aim of this study was to demonstrate a novel methodology for automatically classifying Twitter users who tweet about e‑cigarette–related topics into distinct categories. Methods We collected approximately 11.5 million e‑cigarette–related tweets posted between November 2014 and October 2016 and obtained a random sample of Twitter users who tweeted about e‑cigarettes. Trained human coders examined the handles’ profiles and manually categorized each as one of the following user types: individual (n=2168), vaper enthusiast (n=334), informed agency (n=622), marketer (n=752), and spammer (n=1021). Next, the Twitter metadata as well as a sample of tweets for each labeled user were gathered, and features that reflect users’ metadata and tweeting behavior were analyzed. Finally, multiple machine learning algorithms were tested to identify a model with the best performance in classifying user types. Results Using a classification model that included metadata and features associated with tweeting behavior, we were able to predict with relatively high accuracy five different types of Twitter users that tweet about e‑cigarettes (average F1 score=83.3%). Accuracy varied by user type, with F1 scores of individuals, informed agencies, marketers, spammers, and vaper enthusiasts being 91.1%, 84.4%, 81.2%, 79.5%, and 47.1%, respectively

Social media and anatomy education: Using twitter to enhance the student learning experience in anatomy.

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Hennessy, Catherine M; Kirkpatrick, Emma; Smith, Claire F; Border, Scott

2016-11-01

Neuroanatomy is a difficult subject in medical education, with students often feeling worried and anxious before they have even started, potentially decreasing their engagement with the subject. At the University of Southampton, we incorporated the use of Twitter as a way of supporting students' learning on a neuroanatomy module to evaluate how it impacted upon their engagement and learning experience. The #nlm2soton hashtag was created and displayed (via a widget) on the university's virtual learning environment (VLE) for a cohort of 197 Year 2 medical students studying neuroanatomy. Student usage was tracked to measure levels of engagement throughout the course and frequency of hashtag use was compared to examination results. Student opinions on the use of Twitter were obtained during a focus group with eleven students and from qualitative questionnaires. The hashtag was used by 91% of the student cohort and, within this, more students chose to simply view the hashtag rather than make contributions. The completed questionnaire responses (n = 150) as well as focus group outcomes revealed the value of using Twitter. A negligible correlation was found between student examination scores and their viewing frequency of the hashtag however, no correlation was found between examination scores and contribution frequency. Despite this, Twitter facilitated communication, relieved anxieties and raised morale, which was valued highly by students and aided engagement with neuroanatomy. Twitter was successful in creating and providing a support network for students during a difficult module. Anat Sci Educ 9: 505-515. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.

Analisis Penerapan Relationship Maintenance Strategy Melalui Penggunaan Media Sosial(Studi Pada Twitter Perbankan di Indonesia

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Rahmatul Jannatin Naimah

2016-04-01

Full Text Available Nowadays, banks are actively using twitter in order to maintain relationships with customers. Unfortunately, the trend of using social media as Relationship Maintenance  Strategy  (RMS  for  the  banking  industry  is  not  supported  by adequate research in the realm of marketing public relation science. Positivity, openness, task sharing, networking, access, and assurance are six dimensions that can be used to measure the application of RMS through twitter. Thus, this research aims to analyze whether there are differences in the implementation of RMS in the Indonesia Banking Industry through content analysis of its offi cial twitter.  The  banks  that  will  be  further  investigated  are  the  three  top  banks belonging  to  Indonesia  Bank  Loyalty  Index  (IBLI  and  Most  Followed  Bank (MFB.  Research  fi ndings  resulted  Banks  belonging  to  IBLI  and  MFB  group  has  a different  level  implementation  of  RMS  through  twitter.  The  overall  level  of implementation were found in two groups are still very low, especially in the task sharing dimension. IBLI banks more implement the dimension of RMS than MFB bank group. Assurance was most widely used on the two banking groups.  Keywords : Relationship  Maintenance  Strategy,  Marketing  Public  Relation,  Banking, Twitter.

Modeling users' activity on twitter networks: validation of Dunbar's number.

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Bruno Gonçalves

Full Text Available Microblogging and mobile devices appear to augment human social capabilities, which raises the question whether they remove cognitive or biological constraints on human communication. In this paper we analyze a dataset of Twitter conversations collected across six months involving 1.7 million individuals and test the theoretical cognitive limit on the number of stable social relationships known as Dunbar's number. We find that the data are in agreement with Dunbar's result; users can entertain a maximum of 100-200 stable relationships. Thus, the 'economy of attention' is limited in the online world by cognitive and biological constraints as predicted by Dunbar's theory. We propose a simple model for users' behavior that includes finite priority queuing and time resources that reproduces the observed social behavior.

Smartphone Response System Using Twitter to Enable Effective Interaction and Improve Engagement in Large Classrooms

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Kim, Yeongjun; Jeong, Soonmook; Ji, Yongwoon; Lee, Sangeun; Kwon, Key Ho; Jeon, Jae Wook

2015-01-01

This paper proposes a method for seamless interaction between students and their professor using Twitter, one of the typical social network service (SNS) platforms, in large lectures. During the lecture, the professor poses surprise questions in the form of a quiz on an overhead screen at unexpected moments, and students submit their answers…

Evaluating the Impact of Cooperative Extension Outreach via Twitter

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O'Neill, Barbara

2014-01-01

Twitter is increasingly being used by Extension educators as a teaching and program-marketing tool. It is not enough, however, to simply use Twitter to disseminate information. Steps must be taken to evaluate program impact with quantitative and qualitative data. This article described the following Twitter evaluation metrics: unique hashtags,…

Use of Twitter at a major national pharmacy conference.

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Awad, Nadia I; Cocchio, Craig

2015-01-01

The results of a study of Twitter use by attendees of the 2013 ASHP Midyear Clinical Meeting (MCM) and other interested parties are presented. All messages posted on the social media platform Twitter under the official MCM "hashtag" (#ashpmidyear) during the five-day conference were archived and evaluated. Demographic data on authors of MCM-related tweets were collected by evaluating information provided by Twitter users in their public profiles. The archived messages were classified by content type. A total of 1539 messages originating from 400 unique U.S.- and foreign-based Twitter accounts were posted under the MCM hashtag, an average of 3.84 tweets per account. The estimated rate of conference-related Twitter use by MCM attendees was 1.7%. One third of Twitter users posting conference-related tweets were identified as pharmacists; 86 (21.5%) and 65 (16.25%) tweets originated from accounts held by pharmacy students and pharmaceutical industry representatives, respectively. The authors of MCM-related tweets represented a broad cross-section of pharmacy practice settings and specialties. About 39% of the evaluated Twitter postings were classified as social, with about 31% of postings pertaining to specific MCM educational sessions and nearly 25% classified as advertising. The majority of MCM-related tweets by onsite and remote Twitter users were social in nature or pertained to educational sessions held over the course of the conference. Copyright © 2015 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

Toward Real-Time Infoveillance of Twitter Health Messages.

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Colditz, Jason B; Chu, Kar-Hai; Emery, Sherry L; Larkin, Chandler R; James, A Everette; Welling, Joel; Primack, Brian A

2018-06-21

There is growing interest in conducting public health research using data from social media. In particular, Twitter "infoveillance" has demonstrated utility across health contexts. However, rigorous and reproducible methodologies for using Twitter data in public health are not yet well articulated, particularly those related to content analysis, which is a highly popular approach. In 2014, we gathered an interdisciplinary team of health science researchers, computer scientists, and methodologists to begin implementing an open-source framework for real-time infoveillance of Twitter health messages (RITHM). Through this process, we documented common challenges and novel solutions to inform future work in real-time Twitter data collection and subsequent human coding. The RITHM framework allows researchers and practitioners to use well-planned and reproducible processes in retrieving, storing, filtering, subsampling, and formatting data for health topics of interest. Further considerations for human coding of Twitter data include coder selection and training, data representation, codebook development and refinement, and monitoring coding accuracy and productivity. We illustrate methodological considerations through practical examples from formative work related to hookah tobacco smoking, and we reference essential methods literature related to understanding and using Twitter data. (Am J Public Health. Published online ahead of print June 21, 2018: e1-e6. doi:10.2105/AJPH.2018.304497).

AAHSL Twitter Use From 2007 to 2014: An Exploratory Analysis.

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Stellrecht, Elizabeth; Hendrix, Dean

2016-01-01

Twitter is a popular social media platform used by organizations for communication and marketing purposes. Many libraries, including members of the Association of Academic Health Sciences Libraries (AAHSL), have Twitter accounts, but how do these libraries use Twitter to communicate with their constituents and are they using it effectively? This study is a large-scale observational study of Twitter use within AAHSL libraries and reflects on the usage patterns present in the context of social media best practices. This study also aims to expand upon best practices for implementing and maintaining a Twitter account in a health sciences library setting.

Opinion Analysis on Rohingya using Twitter Data

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Rochmawati, N.; Wibawa, S. C.

2018-04-01

Rohingya is an ethnicity in Myanmar. Recently there was a conflict in the area between the Rakhine population and the Myanmar army. Many opinions are pro and contra in addressing this issue. There is a critic, there is a support and there is a neutral. The purpose of this paper is to analyze the world public opinion about the case of Rohingya. The opinion data to be processed is taken from twitter. the reason for using twitter is because twitter has become one of the popular social media and includes the most frequently visited social media. Therefore, it would be a lot of data that can be taken from twitter to be processed in the process of sentiment analysis. The grouping of opinions will be divided into 3 parts of positive, negative and neutral. the method used in grouping is the naïve Bayes method.

Is Twitter a forum for disseminating research to health policy makers?

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Kapp, Julie M; Hensel, Brian; Schnoring, Kyle T

2015-12-01

Findings from scientific research largely remain inside the scientific community. Research scientists are being encouraged to use social media, and especially Twitter, for dissemination of evidence. The potential for Twitter to narrow the gap on evidence translated into policy presents new opportunities. We explored the innovative question of the feasibility of Twitter as a tool for the scientific community to disseminate to and engage with health policy makers for research impact. We created a list of federal "health policy makers." In December 2014, we identified members using several data sources, then collected and summarized their Twitter usage data. Nearly all health policy makers had Twitter accounts. Their communication volume varied broadly. Policy makers are more likely to push information via Twitter than engage with constituents, although usage varied broadly. Twitter has the potential to aid the scientific community in dissemination of health-related research to health policy makers, after understanding how to effectively (and selectively) use Twitter. Copyright © 2015 Elsevier Inc. All rights reserved.

Facebook and Twitter For Seniors For Dummies

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Collier, Marsha

2010-01-01

A fun and easy social media guide for the over-55 set. People over 55 were the fastest-growing user group on Facebook in the first half of 2009, and they're flocking to Twitter at a faster rate than their under-20 grandchildren. From basic information about establishing an Internet connection to rediscovering old friends, sharing messages and photos, and keeping in touch instantly with Twitter, this book by online expert Marsha Collier helps seniors jump right into social media.: Seniors are recognizing the communication possibilities of Facebook and Twitter and are signing up in record number

Tweeting for and against public health policy: response to the Chicago Department of Public Health's electronic cigarette Twitter campaign.

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Harris, Jenine K; Moreland-Russell, Sarah; Choucair, Bechara; Mansour, Raed; Staub, Mackenzie; Simmons, Kendall

2014-10-16

In January 2014, the Chicago City Council scheduled a vote on local regulation of electronic cigarettes as tobacco products. One week prior to the vote, the Chicago Department of Public Health (CDPH) released a series of messages about electronic cigarettes (e-cigarettes) through its Twitter account. Shortly after the messages, or tweets, were released, the department's Twitter account became the target of a "Twitter bomb" by Twitter users sending more than 600 tweets in one week against the proposed regulation. The purpose of our study was to examine the messages and tweet patterns in the social media response to the CDPH e-cigarette campaign. We collected all tweets mentioning the CDPH in the week between the e-cigarette campaign and the vote on the new local e-cigarette policy. We conducted a content analysis of the tweets, used descriptive statistics to examine characteristics of involved Twitter users, and used network visualization and descriptive statistics to identify Twitter users prominent in the conversation. Of the 683 tweets mentioning CDPH during the week, 609 (89.2%) were anti-policy. More than half of anti-policy tweets were about use of electronic cigarettes for cessation as a healthier alternative to combustible cigarettes (358/609, 58.8%). Just over one-third of anti-policy tweets asserted that the health department was lying or disseminating propaganda (224/609, 36.8%). Approximately 14% (96/683, 14.1%) of the tweets used an account or included elements consistent with "astroturfing"-a strategy employed to promote a false sense of consensus around an idea. Few Twitter users were from the Chicago area; Twitter users from Chicago were significantly more likely than expected to tweet in support of the policy. Our findings may assist public health organizations to anticipate, recognize, and respond to coordinated social media campaigns.

Social networking in nursing education: integrative literature review.

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Kakushi, Luciana Emi; Évora, Yolanda Dora Martinez

2016-01-01

to identify the use of social networking in nursing education. integrative literature review in the databases: LILACS, IBECS, Cochrane, BDENF, SciELO, CINAHL, Scopus, PubMed, CAPES Periodicals Portal and Web of Science, using the descriptors: social networking and nursing education and the keywords: social networking sites and nursing education, carried out in April 2015. of the 489 articles found, only 14 met the inclusion and exclusion criteria. Most studies were published after 2013 (57%), originating from the United States and United Kingdom (77.8%). It was observed the use of social networking among nursing students, postgraduate students, mentors and nurses, in undergraduate programmes, hybrid education (blended-learning) and in interprofessional education. The social networking sites used in the teaching and learning process were Facebook (42.8%), Ning (28.5%), Twitter (21.4%) and MySpace (7.1%), by means of audios, videos, quizzes, animations, forums, guidance, support, discussions and research group. few experiences of the use of social networking in nursing education were found and their contributions show the numerous benefits and difficulties faced, providing resourses for the improvement and revaluation of their use in the teaching and learning process.

Social networking in nursing education: integrative literature review

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Luciana Emi Kakushi

Full Text Available Abstract Objective: to identify the use of social networking in nursing education. Method: integrative literature review in the databases: LILACS, IBECS, Cochrane, BDENF, SciELO, CINAHL, Scopus, PubMed, CAPES Periodicals Portal and Web of Science, using the descriptors: social networking and nursing education and the keywords: social networking sites and nursing education, carried out in April 2015. Results: of the 489 articles found, only 14 met the inclusion and exclusion criteria. Most studies were published after 2013 (57%, originating from the United States and United Kingdom (77.8%. It was observed the use of social networking among nursing students, postgraduate students, mentors and nurses, in undergraduate programmes, hybrid education (blended-learning and in interprofessional education. The social networking sites used in the teaching and learning process were Facebook (42.8%, Ning (28.5%, Twitter (21.4% and MySpace (7.1%, by means of audios, videos, quizzes, animations, forums, guidance, support, discussions and research group. Conclusion: few experiences of the use of social networking in nursing education were found and their contributions show the numerous benefits and difficulties faced, providing resourses for the improvement and revaluation of their use in the teaching and learning process.

Social Networking Sites and Addiction: Ten Lessons Learned

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Kuss, Daria J.; Griffiths, Mark D.

2017-01-01

Online social networking sites (SNSs) have gained increasing popularity in the last decade, with individuals engaging in SNSs to connect with others who share similar interests. The perceived need to be online may result in compulsive use of SNSs, which in extreme cases may result in symptoms and consequences traditionally associated with substance-related addictions. In order to present new insights into online social networking and addiction, in this paper, 10 lessons learned concerning online social networking sites and addiction based on the insights derived from recent empirical research will be presented. These are: (i) social networking and social media use are not the same; (ii) social networking is eclectic; (iii) social networking is a way of being; (iv) individuals can become addicted to using social networking sites; (v) Facebook addiction is only one example of SNS addiction; (vi) fear of missing out (FOMO) may be part of SNS addiction; (vii) smartphone addiction may be part of SNS addiction; (viii) nomophobia may be part of SNS addiction; (ix) there are sociodemographic differences in SNS addiction; and (x) there are methodological problems with research to date. These are discussed in turn. Recommendations for research and clinical applications are provided. PMID:28304359

Social Networking Sites and Addiction: Ten Lessons Learned

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Daria J. Kuss

2017-03-01

Full Text Available Online social networking sites (SNSs have gained increasing popularity in the last decade, with individuals engaging in SNSs to connect with others who share similar interests. The perceived need to be online may result in compulsive use of SNSs, which in extreme cases may result in symptoms and consequences traditionally associated with substance-related addictions. In order to present new insights into online social networking and addiction, in this paper, 10 lessons learned concerning online social networking sites and addiction based on the insights derived from recent empirical research will be presented. These are: (i social networking and social media use are not the same; (ii social networking is eclectic; (iii social networking is a way of being; (iv individuals can become addicted to using social networking sites; (v Facebook addiction is only one example of SNS addiction; (vi fear of missing out (FOMO may be part of SNS addiction; (vii smartphone addiction may be part of SNS addiction; (viii nomophobia may be part of SNS addiction; (ix there are sociodemographic differences in SNS addiction; and (x there are methodological problems with research to date. These are discussed in turn. Recommendations for research and clinical applications are provided.

Twitter Conversation Patterns Related to Research Papers

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Nelhans, Gustaf; Lorentzen, David Gunnarsson

2016-01-01

Introduction: This paper deals with what academic texts and datasets are referred to and discussed on Twitter. We used document object identifiers as references to these items. Method: We streamed tweets from the Twitter application programming interface including the strings "dx" and "doi" while simultaneously streaming tweets…

Matching Profiles from Social Network Sites

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Veldman, Irma

2009-01-01

In recent years social networking sites have become very popular. Many people are member of one or more of these profile sites and tend to put a lot of informa- tion about themselves online. This often publicly available data can be useful for many purposes. Retrieving all available data from one

Twitter Strategies for Web-Based Surveying: Descriptive Analysis From the International Concussion Study.

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Hendricks, Sharief; Düking, Peter; Mellalieu, Stephen D

2016-09-01

Social media provides researchers with an efficient means to reach and engage with a large and diverse audience. Twitter allows for the virtual social interaction among a network of users that enables researchers to recruit and administer surveys using snowball sampling. Although using Twitter to administer surveys for research is not new, strategies to improve response rates are yet to be reported. To compare the potential and actual reach of 2 Twitter accounts that administered a Web-based concussion survey to rugby players and trainers using 2 distinct Twitter-targeting strategies. Furthermore, the study sought to determine the likelihood of receiving a retweet based on the time of the day and day of the week of posting. A survey based on previous concussion research was exported to a Web-based survey website Survey Monkey. The survey comprised 2 questionnaires, one for players, and one for those involved in the game (eg, coaches and athletic trainers). The Web-based survey was administered using 2 existing Twitter accounts, with each account executing a distinct targeting strategy. A list of potential Twitter accounts to target was drawn up, together with a list of predesigned tweets. The list of accounts to target was divided into 'High-Profile' and 'Low-Profile', based on each accounts' position to attract publicity with a high social interaction potential. The potential reach (number of followers of the targeted account), and actual reach (number of retweets received by each post) between the 2 strategies were compared. The number of retweets received by each account was further analyzed to understand when the most likely time of day, and day of the week, a retweet would be received. The number of retweets received by a Twitter account decreased by 72% when using the 'high-profile strategy' compared with the 'low-profile strategy' (incidence rate ratio (IRR); 0.28, 95% confidence interval (CI) 0.21-0.37, P.001) and 6 PM to 11:59 PM (IRR 1.48, 95% CI 1

Student Teachers’ Attitude towards Twitter for Educational Aims

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Victoria I. Marín

2014-07-01

Full Text Available This paper presents an educational experience with 100 student teachers from different courses of the University of the Balearic Islands (Spain in which Twitter is used for various different activities. The aim of this experiment was to explore student teachers’ perceptions in order to value their attitude towards Twitter for educational aims. Afterwards, students were asked to write down their reflections on an eportfolio. Data was collected from their eportfolio evidence, which was analysed to review their attitude towards the use of Twitter for educational purposes and for their future teaching and professional development. The conclusions indicate the need to conduct different educational activities in which Twitter is used in various ways. In addition, conclusions reflect on the real impact of Twitter on students’ learning enhancement, in order to improve student teachers’ attitudes towards social media in education. Therefore, this article contributes to the body of existing research on the use of technology in education, specifically to the possibilities of the use of social media and microblogging in Teacher Education.

Political Bots on Twitter in #Ecuador2017 Presidential Campaigns

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Iria Puyosa

2017-09-01

Full Text Available We studied the behavior of campaign hashtags on Twitter in the second round of Ecuador 2017 presidential elections. The study analyzed 10 trending hashtags attacking opponents. The data was captured and analyzed with NodeXL, an application used to analyze social network. The analysis verifies the central role of automated accounts or botnets in the creation of hashtags. The campaign against the opposing binomial, which combined real accounts of government party activists with botnets, was more effective versus the less coordinated opposition campaign against candidate Lenin Moreno. It also verifies the use of localized botnets, mainly in Argentina and Venezuela.

Social networking sites and older users - a systematic review.

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Nef, Tobias; Ganea, Raluca L; Müri, René M; Mosimann, Urs P

2013-07-01

Social networking sites can be beneficial for senior citizens to promote social participation and to enhance intergenerational communication. Particularly for older adults with impaired mobility, social networking sites can help them to connect with family members and other active social networking users. The aim of this systematic review is to give an overview of existing scientific literature on social networking in older users. Computerized databases were searched and 105 articles were identified and screened using exclusion criteria. After exclusion of 87 articles, 18 articles were included, reviewed, classified, and the key findings were extracted. Common findings are identified and critically discussed and possible future research directions are outlined. The main benefit of using social networking sites for older adults is to enter in an intergenerational communication with younger family members (children and grandchildren) that is appreciated by both sides. Identified barriers are privacy concerns, technical difficulties and the fact that current Web design does not take the needs of older users into account. Under the conditions that these problems are carefully addressed, social networking sites have the potential to support today's and tomorrow's communication between older and younger family members.

Public Response to Obamacare on Twitter.

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Davis, Matthew A; Zheng, Kai; Liu, Yang; Levy, Helen

2017-05-26

The Affordable Care Act (ACA), often called "Obamacare," is a controversial law that has been implemented gradually since its enactment in 2010. Polls have consistently shown that public opinion of the ACA is quite negative. The aim of our study was to examine the extent to which Twitter data can be used to measure public opinion of the ACA over time. We prospectively collected a 10% random sample of daily tweets (approximately 52 million since July 2011) using Twitter's streaming application programming interface (API) from July 10, 2011 to July 31, 2015. Using a list of key terms and ACA-specific hashtags, we identified tweets about the ACA and examined the overall volume of tweets about the ACA in relation to key ACA events. We applied standard text sentiment analysis to assign each ACA tweet a measure of positivity or negativity and compared overall sentiment from Twitter with results from the Kaiser Family Foundation health tracking poll. Public opinion on Twitter (measured via sentiment analysis) was slightly more favorable than public opinion measured by the Kaiser poll (approximately 50% vs 40%, respectively) but trends over time in both favorable and unfavorable views were similar in both sources. The Twitter-based measures of opinion as well as the Kaiser poll changed very little over time: correlation coefficients for favorable and unfavorable public opinion were .43 and .37, respectively. However, we found substantial spikes in the volume of ACA-related tweets in response to key events in the law's implementation, such as the first open enrollment period in October 2013 and the Supreme Court decision in June 2012. Twitter may be useful for tracking public opinion of health care reform as it appears to be comparable with conventional polling results. Moreover, in contrast with conventional polling, the overall amount of tweets also provides a potential indication of public interest of a particular issue at any point in time. ©Matthew A Davis, Kai Zheng

Does twitter song amplitude signal male arousal in redwings (Turdus iliacus)?

DEFF Research Database (Denmark)

Lampe, H.M.; Balsby, T.J.S.; Espmark, Y.O.

2010-01-01

Bird songs may vary in amplitude for several reasons. Variations due to differences in environmental conditions are well known but whether signal information varies with song amplitude is less well known. In some species quiet songs are heard as a soft twitter. These twitter songs are common...... in Turdus species and may be used during escalated close range encounters when a quiet song will attract less attention from others. Male redwings (T. iliacus) sing a terminating twitter part that is quieter and highly variable both between and within males compared with the introductory motif part....... The twitter song of redwings, however, is often louder than the twitter in other Turdus species, especially during escalated song encounters. The seasonal variation in twitter duration also suggests that the twitter may signal increased aggression. We tested how male redwings responded to an assumed...

@AACAnatomy twitter account goes live: A sustainable social media model for professional societies.

Science.gov (United States)

Benjamin, Hannah K; Royer, Danielle F

2018-05-01

Social media, with its capabilities of fast, global information sharing, provides a useful medium for professional development, connecting and collaborating with peers, and outreach. The goals of this study were to describe a new, sustainable model for Twitter use by professional societies, and analyze its impact on @AACAnatomy, the Twitter account of the American Association of Clinical Anatomists. Under supervision of an Association committee member, an anatomy graduate student developed a protocol for publishing daily tweets for @AACAnatomy. Five tweet categories were used: Research, Announcements, Replies, Engagement, and Community. Analytics from the 6-month pilot phase were used to assess the impact of the new model. @AACAnatomy had a steady average growth of 33 new followers per month, with less than 10% likely representing Association members. Research tweets, based on Clinical Anatomy articles with an abstract link, were the most shared, averaging 5,451 impressions, 31 link clicks, and nine #ClinAnat hashtag clicks per month. However, tweets from non-Research categories accounted for the highest impression and engagement metrics in four out of six months. For all tweet categories, monthly averages show consistent interaction of followers with the account. Daily tweet publication resulted in a 103% follower increase. An active Twitter account successfully facilitated regular engagement with @AACAnatomy followers and the promotion of clinical anatomy topics within a broad community. This Twitter model has the potential for implementation by other societies as a sustainable medium for outreach, networking, collaboration, and member engagement. Clin. Anat. 31:566-575, 2018. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Policy gaps and technological deficiencies in social networking environments: Implications for information sharing

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Stephen M. Mutula

2013-06-01

Objectives: The study sought to investigate the following research objectives to: (1 describe the types of social networks, (2 examine global penetration of the social networks, (3 outline the users’ legitimate rights that must be protected in the social networking sites (SNS, (4 determine the methods employed by SNS to protect the users’ legitimate rights and (5 identify the policy gaps and technological deficiencies in the protection of the users’ legitimate rights in the SNS. Method: A literature survey and content analysis of the SNS user policies were used to address objective four and objective five respectively. Results: The most actively used sites were Facebook and Twitter. Asian markets were leading in participation and in creating content than any other region. Business, education, politics and governance sectors were actively using social networking sites. Social networking sites relied upon user trust and internet security features which however, were inefficient and inadequate. Conclusion: Whilst SNS were impacting people of varying ages and of various professional persuasions, there were increased concerns about the violation and infringement of the users’ legitimate rights. Reliance on user trust and technological security features SNS to protect the users’ legitimate rights seemed ineffectual and inadequate.

Every Now And Then: Journalists and Twitter Use in Turkey

Directory of Open Access Journals (Sweden)

Banu Akdenizli

2015-03-01

Full Text Available This study builds on Lasorsa, Lewis & Holton’s (2012 work, and on a studyby the Pew Research Center’s Journalism Project (PEW Journalism, HowMainstream Media Outlets Use Twitter (2012; and focuses on how journalists in Turkey behave on Twitter. It aims to explore what kind of information Turkish journalists share online and how they share it, if and how they engage with fellow users; and how their overall Twitter practice influences, and in some cases, redefines their role as professional journalists. To answer these research questions a list of the 20 most-read Turkish journalists and their 1715 tweets between March 5, 2012 and March 19, 2012 were analyzed. The study revealed that the journalists observed varied widely in how frequently they posted, and on what topics they posted. Data showed that journalists in some cases used the retweet function to share information mainstream media was perhaps not able to cover live or with people on site. In terms of retweeting there was a fair share of selfpromotion going on in terms of publicizing one’s own story and also other stories from the journalist’s news organization. Journalists also answered specific questions about their work or were asked to elaborate on certain matters. There was also a fair share of satire and lighthearted commentary on popular culture, food, travel and aging. This study representsa first-of-a-kind content analysis of Twitter use by journalists in Turkey. As Twitter becomes more mainstream its use patterns are likely to evolve as well, yet at this point the study suggests that, generally speaking, Twitter use by journalists for reporting purposes is in its infancy in 2012. The study provides a snapshot of a certain period and can serve as a benchmark for further studies of Twitter use among journalists in Turkey. Cette étude s’appuie sur le travail de Lasorsa, Lewis & Holton (2012 et sur une étude du Pew Research Center’s Journalism Project (PEW Journalism

Effect of a Novel Engagement Strategy Using Twitter on Test Performance.

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Webb, Amanda L; Dugan, Adam; Burchett, Woodrow; Barnett, Kelly; Patel, Nishi; Morehead, Scott; Silverberg, Mark; Doty, Christopher; Adkins, Brian; Falvo, Lauren

2015-11-01

Medical educators in recent years have been using social media for more penetrance to technologically-savvy learners. The utility of using Twitter for curriculum content delivery has not been studied. We sought to determine if participation in a social media-based educational supplement would improve student performance on a test of clinical images at the end of the semester. 116 second-year medical students were enrolled in a lecture-based clinical medicine course, in which images of common clinical exam findings were presented. An additional, optional assessment was performed on Twitter. Each week, a clinical presentation and physical exam image (not covered in course lectures) were distributed via Twitter, and students were invited to guess the exam finding or diagnosis. After the completion of the course, students were asked to participate in a slideshow "quiz" with 24 clinical images, half from lecture and half from Twitter. We conducted a one-way analysis of variance to determine the effect Twitter participation had on total, Twitter-only, and lecture-only scores. Twitter participation data was collected from the end-of-course survey and was defined as submitting answers to the Twitter-only questions "all or most of the time", "about half of the time", and "little or none of the time." We found a significant difference in overall scores (pTwitter-only scores (pTwitter "all or most of the time" or "about half the time" had significantly higher overall scores and Twitter-only scores (pTwitter than from traditional classroom lecture, some retention was noted. Future research on social media in medical education would benefit from clear control and experimental groups in settings where quantitative use of social media could be measured. Ultimately, it is unlikely for social media to replace lecture in medical curriculum; however, there is a reasonable role for social media as an adjunct to traditional medical education.

Malaysian Users’ Perception towards Facebook as a Social Networking Site

OpenAIRE

Ahasanul Haque; Abdullah Sarwar; Farzana Yasmin

2013-01-01

Social network sites constitute a rapidly growing phenomenon. Thus, understanding users perception toward social network sites become essential. Realizing this present needs, this study strives to determine the user’s perception towards Facebook in Malaysia. This paper commences by examining the relevance of the privacy, features, sharing social information, and accessibility provided by the social network sites. A self-administered questionnaire survey was conducted. A convenience sampling m...

Using Twitter to Measure Public Discussion of Diseases: A Case Study

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Schwartz, H Andrew; Hill, Shawndra; Merchant, Raina M; Arango, Catalina; Ungar, Lyle

2015-01-01

Background Twitter is increasingly used to estimate disease prevalence, but such measurements can be biased, due to both biased sampling and inherent ambiguity of natural language. Objective We characterized the extent of these biases and how they vary with disease. Methods We correlated self-reported prevalence rates for 22 diseases from Experian’s Simmons National Consumer Study (n=12,305) with the number of times these diseases were mentioned on Twitter during the same period (2012). We also identified and corrected for two types of bias present in Twitter data: (1) demographic variance between US Twitter users and the general US population; and (2) natural language ambiguity, which creates the possibility that mention of a disease name may not actually refer to the disease (eg, “heart attack” on Twitter often does not refer to myocardial infarction). We measured the correlation between disease prevalence and Twitter disease mentions both with and without bias correction. This allowed us to quantify each disease’s overrepresentation or underrepresentation on Twitter, relative to its prevalence. Results Our sample included 80,680,449 tweets. Adjusting disease prevalence to correct for Twitter demographics more than doubles the correlation between Twitter disease mentions and disease prevalence in the general population (from .113 to .258, P <.001). In addition, diseases varied widely in how often mentions of their names on Twitter actually referred to the diseases, from 14.89% (3827/25,704) of instances (for stroke) to 99.92% (5044/5048) of instances (for arthritis). Applying ambiguity correction to our Twitter corpus achieves a correlation between disease mentions and prevalence of .208 ( P <.001). Simultaneously applying correction for both demographics and ambiguity more than triples the baseline correlation to .366 ( P <.001). Compared with prevalence rates, cancer appeared most overrepresented in Twitter, whereas high cholesterol appeared most

Methods for Coding Tobacco-Related Twitter Data: A Systematic Review.

Science.gov (United States)

Lienemann, Brianna A; Unger, Jennifer B; Cruz, Tess Boley; Chu, Kar-Hai

2017-03-31

As Twitter has grown in popularity to 313 million monthly active users, researchers have increasingly been using it as a data source for tobacco-related research. The objective of this systematic review was to assess the methodological approaches of categorically coded tobacco Twitter data and make recommendations for future studies. Data sources included PsycINFO, Web of Science, PubMed, ABI/INFORM, Communication Source, and Tobacco Regulatory Science. Searches were limited to peer-reviewed journals and conference proceedings in English from January 2006 to July 2016. The initial search identified 274 articles using a Twitter keyword and a tobacco keyword. One coder reviewed all abstracts and identified 27 articles that met the following inclusion criteria: (1) original research, (2) focused on tobacco or a tobacco product, (3) analyzed Twitter data, and (4) coded Twitter data categorically. One coder extracted data collection and coding methods. E-cigarettes were the most common type of Twitter data analyzed, followed by specific tobacco campaigns. The most prevalent data sources were Gnip and Twitter's Streaming application programming interface (API). The primary methods of coding were hand-coding and machine learning. The studies predominantly coded for relevance, sentiment, theme, user or account, and location of user. Standards for data collection and coding should be developed to be able to more easily compare and replicate tobacco-related Twitter results. Additional recommendations include the following: sample Twitter's databases multiple times, make a distinction between message attitude and emotional tone for sentiment, code images and URLs, and analyze user profiles. Being relatively novel and widely used among adolescents and black and Hispanic individuals, Twitter could provide a rich source of tobacco surveillance data among vulnerable populations. ©Brianna A Lienemann, Jennifer B Unger, Tess Boley Cruz, Kar-Hai Chu. Originally published in the

Social Networking Sites as Virtual Communities of Practice: A Mixed Method Study

Science.gov (United States)

Davis, Lorretta J.

2010-01-01

Membership in social networking sites is increasing rapidly. Social networking sites serve many purposes including networking, communication, recruitment, and sharing knowledge. Social networking sites, public or private, may be hosted on applications such as Facebook and LinkedIn. As individuals begin to follow and participate in social…

Impact of Social Networking Sites in Bangladesh: Few Possible Solutions

OpenAIRE

Md. Omar Faruq; Alim-Al-Reza; Md. Mahbubur Rahman; Mohammad Raisul Alam

2017-01-01

Bangladesh is a developing country. But in few recent years this country is going to be turned as digitalized. The first condition of being digitalization is the whole communication system of the country have to be developed tremendously. If we notice about the communication system, then Social Networking Sites can be a platform of revolution. This study is based on the perspective of Bangladesh on Social Networking Sites(SNS). In Bangladesh, Social Networking Sites ar...

Does the type of event influence how user interactions evolve on Twitter?

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Elena del Val

Full Text Available The number of people using on-line social networks as a new way of communication is continually increasing. The messages that a user writes in these networks and his/her interactions with other users leave a digital trace that is recorded. Thanks to this fact and the use of network theory, the analysis of messages, user interactions, and the complex structures that emerge is greatly facilitated. In addition, information generated in on-line social networks is labeled temporarily, which makes it possible to go a step further analyzing the dynamics of the interaction patterns. In this article, we present an analysis of the evolution of user interactions that take place in television, socio-political, conference, and keynote events on Twitter. Interactions have been modeled as networks that are annotated with the time markers. We study changes in the structural properties at both the network level and the node level. As a result of this analysis, we have detected patterns of network evolution and common structural features as well as differences among the events.

Reactions to adverse incidents in the health services on Twitter: a mixed methods study

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Sarah Meaney

2015-10-01

Full Text Available Background: Participation in social networking is commonplace and social media is transforming both health and health related research. Of the various social media platforms, Twitter must be considered a platform for rapid and immediate communication. There has been considerable national and international media coverage reporting a number of adverse incidents in the Irish maternity services. The media coverage of these adverse incidents, most recently about a cluster of perinatal deaths, stimulated much public debate including debate online. Aim: Our study aimed to explore the Twitter status updates, and subsequent responses, relating to a number of perinatal deaths which occurred in a maternity unit with approximately 2,000 births per year. Method: As this study examined Twitter status updates in relation to reported perinatal death a mixed methods approach was adopted. Firstly, status updates in English were searched utilising the Twitter search function on its website. A search was undertaken on all public status updates from January 29th 2014 to March 31st 2014 relating to the perinatal deaths. Data were quantitatively analysed in order to assess the frequency of status updates, the demographic profiles of users and to ascertain the potential reach of the status updates. Secondly qualitative analysis was employed to generate themes from the content that twitter users shared publically. Results: From January 29th 2014 to March 31st 2014, 3,577 Twitter status updates from 1,276 profiles relating to the perinatal deaths were identified. Of these, 54.1% (n=1615 were tweets, 38.9% (n=1392 were retweets and 15.9% (n=570 were replies. Over one third of all updates (36.8%; n=1317 were from profiles which identified the user as either a media outlet or media personnel. One in 10 (11.8%; 424 status updates were by those who self-identified as a parent. Twitter was not utilised as a platform by any healthcare authority to release a statement in

Networking for philanthropy: increasing volunteer behavior via social networking sites.

Science.gov (United States)

Kim, Yoojung; Lee, Wei-Na

2014-03-01

Social networking sites (SNSs) provide a unique social venue to engage the young generation in philanthropy through their networking capabilities. An integrated model that incorporates social capital into the Theory of Reasoned Action is developed to explain volunteer behavior through social networks. As expected, volunteer behavior was predicted by volunteer intention, which was influenced by attitudes and subjective norms. In addition, social capital, an outcome of the extensive use of SNSs, was as an important driver of users' attitude and subjective norms toward volunteering via SNSs.

Twitter as Information Source for Rapid Damage Estimation after Major Earthquakes

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Eggert, Silke; Fohringer, Joachim

2014-05-01

Natural disasters like earthquakes require a fast response from local authorities. Well trained rescue teams have to be available, equipment and technology has to be ready set up, information have to be directed to the right positions so the head quarter can manage the operation precisely. The main goal is to reach the most affected areas in a minimum of time. But even with the best preparation for these cases, there will always be the uncertainty of what really happened in the affected area. Modern geophysical sensor networks provide high quality data. These measurements, however, are only mapping disjoint values from their respective locations for a limited amount of parameters. Using observations of witnesses represents one approach to enhance measured values from sensors ("humans as sensors"). These observations are increasingly disseminated via social media platforms. These "social sensors" offer several advantages over common sensors, e.g. high mobility, high versatility of captured parameters as well as rapid distribution of information. Moreover, the amount of data offered by social media platforms is quite extensive. We analyze messages distributed via Twitter after major earthquakes to get rapid information on what eye-witnesses report from the epicentral area. We use this information to (a) quickly learn about damage and losses to support fast disaster response and to (b) densify geophysical networks in areas where there is sparse information to gain a more detailed insight on felt intensities. We present a case study from the Mw 7.1 Philippines (Bohol) earthquake that happened on Oct. 15 2013. We extract Twitter messages, so called tweets containing one or more specified keywords from the semantic field of "earthquake" and use them for further analysis. For the time frame of Oct. 15 to Oct 18 we get a data base of in total 50.000 tweets whereof 2900 tweets are geo-localized and 470 have a photo attached. Analyses for both national level and locally for

Classification of Twitter Users Who Tweet About E-Cigarettes.

Science.gov (United States)

Kim, Annice; Miano, Thomas; Chew, Robert; Eggers, Matthew; Nonnemaker, James

2017-09-26

Despite concerns about their health risks, e‑cigarettes have gained popularity in recent years. Concurrent with the recent increase in e‑cigarette use, social media sites such as Twitter have become a common platform for sharing information about e-cigarettes and to promote marketing of e‑cigarettes. Monitoring the trends in e‑cigarette-related social media activity requires timely assessment of the content of posts and the types of users generating the content. However, little is known about the diversity of the types of users responsible for generating e‑cigarette-related content on Twitter. The aim of this study was to demonstrate a novel methodology for automatically classifying Twitter users who tweet about e‑cigarette-related topics into distinct categories. We collected approximately 11.5 million e‑cigarette-related tweets posted between November 2014 and October 2016 and obtained a random sample of Twitter users who tweeted about e‑cigarettes. Trained human coders examined the handles' profiles and manually categorized each as one of the following user types: individual (n=2168), vaper enthusiast (n=334), informed agency (n=622), marketer (n=752), and spammer (n=1021). Next, the Twitter metadata as well as a sample of tweets for each labeled user were gathered, and features that reflect users' metadata and tweeting behavior were analyzed. Finally, multiple machine learning algorithms were tested to identify a model with the best performance in classifying user types. Using a classification model that included metadata and features associated with tweeting behavior, we were able to predict with relatively high accuracy five different types of Twitter users that tweet about e‑cigarettes (average F 1 score=83.3%). Accuracy varied by user type, with F 1 scores of individuals, informed agencies, marketers, spammers, and vaper enthusiasts being 91.1%, 84.4%, 81.2%, 79.5%, and 47.1%, respectively. Vaper enthusiasts were the most challenging user

The Influence of Social Network Sites on the Job Application Process

DEFF Research Database (Denmark)

Ben Allouch, Somaya; Kotamraju, Nalini Panchita

2011-01-01

The popularity of social network sites has given rise to concerns about the amount and nature of information that people disclose on them. While the media has publicized several high-profile instances of people losing their jobs because they had disclosed inappropriate job-related, empirical......, but when tested experimentally, the results show that recruiters do rely more on information derived from others than on self-reported information. This research confirms the popular suspicion that social network sites influence job applicants’ career opportunities, but also goes further to demonstrate...... research about the use of social network sites by job recruiters is almost non-existing. Social network sites are nowadays tools for recruiters to screen job applicants during the job application procedure. This study examined what specific information on social network sites recruiters use to form...

HOW DO STUDENTS SELECT SOCIAL NETWORKING SITES? AN ANALYTIC HIERARCHY PROCESS (AHP) MODEL

OpenAIRE

Chun Meng Tang; Miang Hong Ngerng

2015-01-01

Social networking sites are popular among university students, and students today are indeed spoiled for choice. New emerging social networking sites sprout up amid popular sites, while some existing ones die out. Given the choice of so many social networking sites, how do students decide which one they will sign up for and stay on as an active user? The answer to this question is of interest to social networking site designers and marketers. The market of social networking sites is highly co...

Twitter as equipment for educational interaction

DEFF Research Database (Denmark)

Tække, Jesper

As a researcher in the action research project Socio Media Education (SME) I have wondered why it has been so difficult for the participants to integrate the, through successful actions, developed uses of Twitter in their everyday practice. In the research project, the test class and its teachers...... through actions and experimentation, in an exemplary manner have developed a number of applications of the interaction medium Twitter in the educational interaction. These uses seem clearly to facilitate student learning, increase their participation and commitment and reduce their Internet...... class’ everyday use of Twitter. This shows that the class does not generally enjoy the learning and attention catching developed teaching methods. Only when a teacher takes the initiative, which they do not do all, and nobody always do, the methods are used. Through a cross-optic established...

Modelling Political Disaffection from Twitter Data

DEFF Research Database (Denmark)

Monti, Corrado; Rozza, Alessandro; Zappella, Giovanni

2013-01-01

Twitter is one of the most popular micro-blogging services in the world, often studied in the context of political opinion mining for its peculiar nature of online public discussion platform. In our work we analyse the phenomenon of political disaffection defined as the “lack of confidence...... of this attitude. For this reason, we collect a massive database of Italian Twitter data (about 35 millions of tweets from April 2012 to October 2012) and we exploit scalable state-of-the-art machine learning techniques to generate time-series concerning the political disaffection discourse. In order to validate...... the quality of the time-series generated, we compare them with indicators of political disaffection from public opinion surveys. We find political disaffection on Twitter to be highly correlated with the indicators of political disaffection in the public opinion surveys. Moreover, we show the peaks...

The emerging use of Twitter by urological journals.

Science.gov (United States)

Nason, Gregory J; O'Kelly, Fardod; Kelly, Michael E; Phelan, Nigel; Manecksha, Rustom P; Lawrentschuk, Nathan; Murphy, Declan G

2015-03-01

To assess the emerging use of Twitter by urological journals. A search of the Journal of Citation Reports 2012 was performed to identify urological journals. These journals were then searched on Twitter.com. Each journal website was accessed for links to social media (SoMe). The number of 'tweets', followers and age of profile was determined. To evaluate the content, over a 6-month period (November 2013 to April 2014), all tweets were scrutinised on the journals Twitter profiles. To assess SoMe influence, the Klout score of each journal was also calculated. In all, 33 urological journals were identified. Eight (24.2%) had Twitter profiles. The mean (range) number of tweets and followers was 557 (19-1809) and 1845 (82-3692), respectively. The mean (range) age of the twitter profiles was 952 (314-1758) days with an average 0.88 tweets/day. A Twitter profile was associated with a higher mean impact factor of the journal (mean [sd] 3.588 [3.05] vs 1.78 [0.99], P = 0.013). Over a 6-month period, November 2013 to April 2014, the median (range) number of tweets per profile was 82 (2-415) and the median (range) number of articles linked to tweets was 73 (0-336). Of these 710 articles, 152 were Level 1 evidence-based articles, 101 Level 2, 278 Level 3 and 179 Level 4. The median (range) Klout score was 47 (19-58). The Klout scores of major journals did not exactly mirror their impact factors. SoMe is increasingly becoming an adjunct to traditional teaching methods, due to its convenient and user-friendly platform. Recently, many of the leading urological journals have used Twitter to highlight significant articles of interest to readers. © 2014 The Authors. BJU International © 2014 BJU International.

The role of social networking web sites in influencing residency decisions.

Science.gov (United States)

Schweitzer, Justin; Hannan, Alexander; Coren, Joshua

2012-10-01

Social networking Web sites such as Facebook have grown rapidly in popularity. It is unknown how such sites affect the ways in which medical trainees investigate and interact with graduate medical education (GME) programs. To evaluate the use of social networking Web sites as a means for osteopathic medical students, interns, residents, and fellows to interact with GME programs and report the degree to which that interaction impacts a medical trainee's choice of GME program. An anonymous, 10-item electronic survey on social networking Web sites was e-mailed to osteopathic medical student, intern, resident, and fellow members of the American College of Osteopathic Family Physicians. The weighted least squares test and the Fisher exact test were used for data analysis. A total of 9606 surveys were distributed, and 992 (10%) were completed. Nine hundred twenty-eight (93%) of the respondents used social networking Web sites, with the most popular services being Facebook (891 [90%]; P=.03), the Student Doctor Network (278 [28%]), and LinkedIn (89 [9%]; P=.03). Three hundred fifty-three respondents (36%; P=.52) were connected with a professional organization and 673 (68%; P=.73) used social networking Web sites for job searching related to GME programs or postresidency employment. Within the population of 497 third-, fourth-, and fifth-year osteopathic medical students, 136 (27%) reported gleaning information about programs through social networking Web sites (P=.01). Within the total population, 100 of 992 (10%) reported that this information influenced their decisions (P=.07). Of note, 144 (14%) of the total 992 respondents reported that the programs they applied to did not have any presence on social networking Web sites (P=.05). Our results indicate that social networking Web sites have a present and growing influence on how osteopathic medical students, interns, residents, and fellows learn about and select a GME program.

Using Twitter for Demographic and Social Science Research: Tools for Data Collection

Science.gov (United States)

2014-08-29

social   network  ties  for   behaviors  and  opinions.   While  Twitter  is  not  representative  of  the  total  US...Their  Relationship  to  Adolescents’  Well-­‐Being  and   Social  Self-­‐Esteem  "   CyberPsychology  &   Behavior  9(5...sustainable  toolkit   for   social  science  researchers  interested

Twitter city and Facebook village: Teenage girls’ personas and experiences influenced by choice architecture in social networking sites

OpenAIRE

Binns, Amy

2014-01-01

Anonymity was once the norm online, but uploading personal information on social networks is now ubiquitous amongst teenagers, leading to new concerns about abandonment of privacy and obsessive self-grooming of online identities. However, researchers have not examined whether different social networks result in differing behaviour or happiness, which should be a key issue for media practitioners involved in social network design.\\ud This research examines whether different SNs affect behaviou...

Factors for Successful Use of Social Networking Sites in Higher Education

OpenAIRE

L Schlenkrich; Dave Sewry

2012-01-01

Social networking sites are extremely popular online destinations that offer users easy ways to build and maintain relationships with each other, and to disseminate information in an activity referred to as social networking. Students, lecturers, teachers, parents and businesses, in increasing numbers, use tools available on social networking sites to communicate with each other in a fast and cost-effective manner. The use of social networking sites to support educational initiatives has rece...

’n (Outobiografiese Twitter-teologie

Directory of Open Access Journals (Sweden)

Jan-Albert van den Berg

2016-11-01

Full Text Available An (autobiographical Twitter-theology. Due to the increasing challenges created by an evolving digital world, traditional expressions of the Christian faith could become irrelevant for a fast-paced world. Through an autobiographical orientation, a search for meaningful personal expressions of the Christian faith on Twitter is traced and mapped down. Facilitated through a practical-theological inquiry and employing a qualitative empirical research methodology, personal aphorisms of the Christian faith on Twitter are traced down and presented as possible examples of a relevant digital autobiographical theology. Through the contribution of these empirical realities, new hermeneutical outcomes and a strategic involvement are facilitated. The creation, development and meaning of new theological formulations and articulations are explored and described through these expressions. In the tracing of and in the mapping down of these new expressions of faith, demarcations of a possible lived spirituality in the digital sphere are sounded out and verbalised. Through the documentation of these new and relevant articulations of the language of faith, a contribution is made to a meaningful digital autobiographical theology.

Does Twitter trigger bursts in signature collections?

Science.gov (United States)

Yamaguchi, Rui; Imoto, Seiya; Kami, Masahiro; Watanabe, Kenji; Miyano, Satoru; Yuji, Koichiro

2013-01-01

The quantification of social media impacts on societal and political events is a difficult undertaking. The Japanese Society of Oriental Medicine started a signature-collecting campaign to oppose a medical policy of the Government Revitalization Unit to exclude a traditional Japanese medicine, "Kampo," from the public insurance system. The signature count showed a series of aberrant bursts from November 26 to 29, 2009. In the same interval, the number of messages on Twitter including the keywords "Signature" and "Kampo," increased abruptly. Moreover, the number of messages on an Internet forum that discussed the policy and called for signatures showed a train of spikes. In order to estimate the contributions of social media, we developed a statistical model with state-space modeling framework that distinguishes the contributions of multiple social media in time-series of collected public opinions. We applied the model to the time-series of signature counts of the campaign and quantified contributions of two social media, i.e., Twitter and an Internet forum, by the estimation. We found that a considerable portion (78%) of the signatures was affected from either of the social media throughout the campaign and the Twitter effect (26%) was smaller than the Forum effect (52%) in total, although Twitter probably triggered the initial two bursts of signatures. Comparisons of the estimated profiles of the both effects suggested distinctions between the social media in terms of sustainable impact of messages or tweets. Twitter shows messages on various topics on a time-line; newer messages push out older ones. Twitter may diminish the impact of messages that are tweeted intermittently. The quantification of social media impacts is beneficial to better understand people's tendency and may promote developing strategies to engage public opinions effectively. Our proposed method is a promising tool to explore information hidden in social phenomena.

Does Twitter trigger bursts in signature collections?

Directory of Open Access Journals (Sweden)

Rui Yamaguchi

Full Text Available INTRODUCTION: The quantification of social media impacts on societal and political events is a difficult undertaking. The Japanese Society of Oriental Medicine started a signature-collecting campaign to oppose a medical policy of the Government Revitalization Unit to exclude a traditional Japanese medicine, "Kampo," from the public insurance system. The signature count showed a series of aberrant bursts from November 26 to 29, 2009. In the same interval, the number of messages on Twitter including the keywords "Signature" and "Kampo," increased abruptly. Moreover, the number of messages on an Internet forum that discussed the policy and called for signatures showed a train of spikes. METHODS AND FINDINGS: In order to estimate the contributions of social media, we developed a statistical model with state-space modeling framework that distinguishes the contributions of multiple social media in time-series of collected public opinions. We applied the model to the time-series of signature counts of the campaign and quantified contributions of two social media, i.e., Twitter and an Internet forum, by the estimation. We found that a considerable portion (78% of the signatures was affected from either of the social media throughout the campaign and the Twitter effect (26% was smaller than the Forum effect (52% in total, although Twitter probably triggered the initial two bursts of signatures. Comparisons of the estimated profiles of the both effects suggested distinctions between the social media in terms of sustainable impact of messages or tweets. Twitter shows messages on various topics on a time-line; newer messages push out older ones. Twitter may diminish the impact of messages that are tweeted intermittently. CONCLUSIONS: The quantification of social media impacts is beneficial to better understand people's tendency and may promote developing strategies to engage public opinions effectively. Our proposed method is a promising tool to explore

[Using Twitter in oncology. Research, continuing education, and advocacy].

Science.gov (United States)

De Fiore, Luciano; Ascierto, Paolo

2015-01-01

Traditional mass media coverage has been enhanced by Twitter, an interactive, real-time media, useful in health care, and particularly in oncology. Social media such as Twitter are gaining increasing acceptance as tools for instantaneous scientific dialogue. Professional medical societies such as ASCO and ESMO are using microblogging to expand the reach of scientific communications at and around their scientific meetings. To widen the message and maximize the potential for word-of-mouth marketing using Twitter, organizations (such as AIOM, ASCO or ESMO) and industries need a strategic communications plan to ensure on-going social media conversations. Twitter is a very powerful tool indeed that amplifies the results of scientific meetings, and conference organisers should put in place strategies to capitalise on this. This review demonstrates that cancer patients also share information more and more via Twitter about their disease, including diagnosis, symptoms, and treatments. This information could prove useful to health care providers.

A Systematic Identification of Scientists on Twitter

Energy Technology Data Exchange (ETDEWEB)

Ke, Q.; Ahn, Y.Y.; Sugimoto, C.R.

2016-07-01

There is an increasing use of Twitter and other social media to estimate the broader social impacts of scholarship. However, without systematic understanding of the entities that participate in conversations about science, efforts to translate altmetrics into impact indicators may produce highly misleading results. Here we present a systematic approach to identifying scientists on Twitter. (Author)

Application of neural networks to waste site screening

Energy Technology Data Exchange (ETDEWEB)

Dabiri, A.E.; Kraft, T.; Hilton, J.M. [Science Applications International Corp., San Diego, CA (United States)

1993-03-01

Waste site screening requires knowledge of the actual concentrations of hazardous materials and rates of flow around and below the site with time. The present approach to site screening consists primarily of drilling, boreholes near contaminated site and chemically analyzing the extracted physical samples and processing the data. In addition, hydraulic and geochemical soil properties are obtained so that numerical simulation models can be used to interpret and extrapolate the field data. The objective of this work is to investigate the feasibility of using neural network techniques to reduce the cost of waste site screening. A successful technique may lead to an ability to reduce the number of boreholes and the number of samples analyzed from each borehole to properly screen the waste site. The analytic tool development described here is inexpensive because it makes use of neural network techniques that can interpolate rapidly and which can learn how to analyze data rather than having to be explicitly programmed. In the following sections, data collection and data analyses will be described, followed by a section on different neural network techniques used. The results will be presented and compared with mathematical model. Finally, the last section will summarize the research work performed and make several recommendations for future work.

Online extremism and the communities that sustain it: Detecting the ISIS supporting community on Twitter

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Joseph, Kenneth; Carley, Kathleen M.

2017-01-01

The Islamic State of Iraq and ash-Sham (ISIS) continues to use social media as an essential element of its campaign to motivate support. On Twitter, ISIS’ unique ability to leverage unaffiliated sympathizers that simply retweet propaganda has been identified as a primary mechanism in their success in motivating both recruitment and “lone wolf” attacks. The present work explores a large community of Twitter users whose activity supports ISIS propaganda diffusion in varying degrees. Within this ISIS supporting community, we observe a diverse range of actor types, including fighters, propagandists, recruiters, religious scholars, and unaffiliated sympathizers. The interaction between these users offers unique insight into the people and narratives critical to ISIS’ sustainment. In their entirety, we refer to this diverse set of users as an online extremist community or OEC. We present Iterative Vertex Clustering and Classification (IVCC), a scalable analytic approach for OEC detection in annotated heterogeneous networks, and provide an illustrative case study of an online community of over 22,000 Twitter users whose online behavior directly advocates support for ISIS or contibutes to the group’s propaganda dissemination through retweets. PMID:29194446

TWITTER COMO POSSÍVEL ALTERNATIVA PARA O ENSINO DE LÍNGUA PORTUGUESA

Directory of Open Access Journals (Sweden)

Jefferson de Oliveira Balduino

2014-07-01

Full Text Available This article aims to show the importance of the use of Information and Communication Technologies (ICTs, especially the Twitter tool, involving the concept of social networking for teaching and learning within the academic context. Because it is a service that allows you to post 140 characters at a time, the Twitter tool takes its users to write their information in a compact manner, considering their meaning. Thus, it is possible to observe an internet able to handle contexts and interpretations, since the tool may contribute to the development of the language learner, enabling the development of reading skills, language comprehension and production of texts in various contexts in which they are inserted. As a methodology, questionnaires were administered in a public school in the city of Campos dos Goytacazes/ RJ, in a class of 9 year of elementary school. The data collected showed that students understand the importance of ICTs and social networks for scholarly research, as well as their implementation in learning and the search for information or knowledge. Thus, we believe that by using this new tool the student will have access to various types of texts, as well as writing messages, chat, search and produce work requested by teachers, promotion opinions finally, to develop reading skills, comprehension and written from other perspectives.

Representasi Kepemimpinan Calon Presiden di Twitter

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Nurul Hasfi

2017-05-01

Full Text Available Twitter is a new political communication channel massively used during Indonesian presidential election 2014. The character of the medium identified as interactive, participative and decentralized become main reasons why experts optimist on how this new media develop democratization. However, based on political situation in the context of Indonesian presidential election 2014, the argument needs to be confirmed. Twitter with its democratizing character, on the other hand has contradiction impact in facilitating irrational discussion, particularly run under mechanism of imagology politic. It is found in this research that implements Critical Discourse Analysis and confirmed with deliberative democracy theory. The study concludes that successful political discussion on Twitter about political leadership of presidential candidate was not determined by rational discussion (egalitarian, consensus, equal communication, etc but it’s merely determined by how skillful political actor construct the image of political leadership of the presidential candidate.

Experience of developing Twitter-based communities of practice in higher education

Directory of Open Access Journals (Sweden)

Bex Lewis

2013-06-01

Full Text Available This article presents the results of a case study of the use of a microblogging tool by a university academic to increase their knowledge and experience of social media for educational purposes. The academic had the role of digital steward in a university and attempted to use microblogging (Twitter to increase professional contacts within the framework of a community of practice. Several types of data were collected and analysed. These included the structure of the network arising from the links formed with others by microblogging, the similarity of stated interests between the academic and others in the network, and the contents of postings such as their external references. It was found that a personal network had been established, with some of the characteristics of a community of practice. The activity demonstrated the utility of social media in supporting the professional development of academic staff using technology.

Exploring Twitter communication dynamics with evolving community analysis

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Konstantinos Konstantinidis

2017-02-01

Full Text Available Online Social Networks (OSNs have been widely adopted as a means of news dissemination, event reporting, opinion expression and discussion. As a result, news and events are being constantly reported and discussed online through OSNs such as Twitter. However, the variety and scale of all the information renders manual analysis extremely cumbersome, and therefore creating a storyline for an event or news story is an effort-intensive task. The main challenge pertains to the magnitude of data to be analyzed. To this end, we propose a framework for ranking the resulting communities and their metadata on the basis of structural, contextual and evolutionary characteristics such as community centrality, textual entropy, persistence and stability. We apply the proposed framework on three Twitter datasets and demonstrate that the analysis that followed enables the extraction of new insights with respect to influential user accounts, topics of discussion and emerging trends. These insights could primarily assist the work of social and political analysis scientists and the work of journalists in their own story telling, but also highlight the limitations of existing analysis methods and pose new research questions. To our knowledge, this study is the first to investigate the ranking of dynamic communities. In addition, our findings suggest future work regarding the determination of the general context of the communities based on structure and evolutionary behavior alone.

Review of Social Networking Sites' Security and Privacy

OpenAIRE

YANG, SHUN

2015-01-01

Nowadays social media networking has dramatically increased. Social networking sites like Facebook make users create huge amount of profiles and share personal information within networking of different users. Social networking exposes personal information far beyond the group of friends. And that information or data on social media networking could be potential threat to people's information security and privacy. In this review, we are going to view the privacy risks and security problem...

Twitter journal clubs and continuing professional development: An analysis of a #MedRadJClub tweet chat.

Science.gov (United States)

Bolderston, A; Watson, J; Woznitza, N; Westerink, A; Di Prospero, L; Currie, G; Beardmore, C; Hewis, J

2018-02-01

Online Twitter journal clubs are a recent and popular innovation with the potential to increase research awareness and inform practice. The medical radiation sciences' MedRadJournalClub (MJRC) is a Twitter-based event that attracts a global group of participants at the monthly chats. An analysis of a recent MedRadJournalClub discussion evaluated the perceived benefits and limitations of medical radiation practitioners participating in an online journal club. The February 2017 chat used for analysis was based on the Journal of Medical Imaging and Radiation Sciences article by Currie et al. "Twitter Journal Club in Medical Radiation Science" that examines the educational theory behind learning and evidencing professional development through MRJC and social media. The data consisted of chat tweets which were collated using the Twitter advanced search function using the #medradjclub. An initial reviewed was performed to exclude irrelevant content. A second review was then undertaken to categorize the main theme of the tweet. The data were then subjected to thematic analysis which yielded seven different categories. The main benefits included global access due to the online nature of MRJC that has facilitated networking and collaboration. Open access to recently published research was another key benefit. The character limitation of a tweet was the most common constraint, and the dynamic nature of the twitter conversation requires multi-tasking that may be difficult. Our analysis indicated that participants use MedRadJournalClub as a source of continuing professional development with some evidence that this is directly informing clinical and educational practice. Copyright © 2017 The College of Radiographers. Published by Elsevier Ltd. All rights reserved.

The Top 100 Social Media Influencers in Plastic Surgery on Twitter: Who Should You Be Following?

Science.gov (United States)

Chandawarkar, Akash A; Gould, Daniel J; Grant Stevens, W

2018-03-06

Recent studies demonstrate that board-certified plastic surgeons are underrepresented amongst individuals posting public-directed marketing plastic surgery-related content on Instagram. However, peer-to-peer and education-based social media influence has not been studied. Twitter is a social media platform has been suggested to be useful for educating the masses and connecting with colleagues. The purpose of this study is to identify the top influencers in plastic surgery on Twitter, characterize who they are, and relate their social media influence to academic influence. Twitter influence scores for the topic search "plastic surgery" were collected in July 2017 using Right Relevance software. The accounts associated with the highest influencer scores were linked to individual names, status as a plastic surgeon, board certification, location, and academic h-index. The top 100 Twitter influencers in plastic surgery are presented. Seventy-seven percent of the top influencers are trained as plastic surgeons or facial plastic surgeons. Sixty-one percent of influencers are board-certified plastic surgeons or board-eligible/future eligible trainees. International plastic surgeons made up 16% of influencers. Other medical doctors made up another 10%. The other 13% of influencers were nonphysicians. Three-quarters of social media influencers were physically located in the United States. Academic h-index of social media influencers ranged from 0 to 62 (mean, 8.6). This study shows that the top plastic surgery social media influencers on Twitter are predominantly board-certified or eligible plastic surgeons and physically based in the United States. This study also provides the influencer network for other plastic surgeons to engage with to improve their own influence within the plastic surgery social media sphere.

Astropixie: Astronomy Engagement Through Blogging and Twitter

Science.gov (United States)

Bauer, A. E.

2013-04-01

I discuss the astronomy outreach and public engagement potential of blogging, based on experience writing and maintaining my astropixie blog since 2006 and maintaining a twitter account as @astropixie since 2008. These methods of social media allow for direct engagement with a public audience, increase public science literacy, provide understandable information beyond what can be presented in the media, diversify the image of scientists, publicize and provide feedback on current research, develop a community among readers, and inspire students. I also briefly discuss some professional benefits of using the social media resource of twitter. The goal of this paper is to give an idea of what blogs and twitter can provide as outreach tools, and to provide basic information about using these media.

Twitter-Augmented Journal Club: Educational Engagement and Experience So Far.

Science.gov (United States)

Udani, Ankeet D; Moyse, Daniel; Peery, Charles Andrew; Taekman, Jeffrey M

2016-04-15

Social media is a nascent medical educational technology. The benefits of Twitter include (1) easy adoption; (2) access to experts, peers, and patients across the globe; (3) 24/7 connectivity; (4) creation of virtual, education-based communities using hashtags; and (5) crowdsourcing information using retweets. We report on a novel Twitter-augmented journal club for anesthesia residents: its design, implementation, and impact. Our inaugural anesthesia Twitter-augmented journal club succeeded in engaging the anesthesia community and increasing residents' professional use of Twitter. Notably, our experience suggests that anesthesia residents are willing to use social media for their education.

Detecting suicidality on Twitter

Directory of Open Access Journals (Sweden)

Bridianne O'Dea

2015-05-01

Full Text Available Twitter is increasingly investigated as a means of detecting mental health status, including depression and suicidality, in the population. However, validated and reliable methods are not yet fully established. This study aimed to examine whether the level of concern for a suicide-related post on Twitter could be determined based solely on the content of the post, as judged by human coders and then replicated by machine learning. From 18th February 2014 to 23rd April 2014, Twitter was monitored for a series of suicide-related phrases and terms using the public Application Program Interface (API. Matching tweets were stored in a data annotation tool developed by the Commonwealth Scientific and Industrial Research Organisation (CSIRO. During this time, 14,701 suicide-related tweets were collected: 14% were randomly (n = 2000 selected and divided into two equal sets (Set A and B for coding by human researchers. Overall, 14% of suicide-related tweets were classified as ‘strongly concerning’, with the majority coded as ‘possibly concerning’ (56% and the remainder (29% considered ‘safe to ignore’. The overall agreement rate among the human coders was 76% (average κ = 0.55. Machine learning processes were subsequently applied to assess whether a ‘strongly concerning’ tweet could be identified automatically. The computer classifier correctly identified 80% of ‘strongly concerning’ tweets and showed increasing gains in accuracy; however, future improvements are necessary as a plateau was not reached as the amount of data increased. The current study demonstrated that it is possible to distinguish the level of concern among suicide-related tweets, using both human coders and an automatic machine classifier. Importantly, the machine classifier replicated the accuracy of the human coders. The findings confirmed that Twitter is used by individuals to express suicidality and that such posts evoked a level of concern that warranted

Pro-eating disorder communities on social networking sites: a content analysis.

Science.gov (United States)

Juarascio, Adrienne S; Shoaib, Amber; Timko, C Alix

2010-01-01

The purpose of this study was to assess the number of pro-ana groups on social networking sites and to analyze their content. A general inductive approach was used to analyze the content. Two main themes emerged from the content analysis: social support and eating disorder specific content. Themes were similar across all groups; however, a linguistic analysis indicated differences between groups on the two different networking sites. There was an absence of content typically found on Internet sites. Pro-ana groups on social networking sites are focused on social interactions, and lack eating disorder specific content found on Internet sites.

Bibliographic Analysis of Nature Based on Twitter and Facebook Altmetrics Data.

Science.gov (United States)

Xia, Feng; Su, Xiaoyan; Wang, Wei; Zhang, Chenxin; Ning, Zhaolong; Lee, Ivan

2016-01-01

This paper presents a bibliographic analysis of Nature articles based on altmetrics. We assess the concern degree of social users on the Nature articles through the coverage analysis of Twitter and Facebook by publication year and discipline. The social media impact of a Nature article is examined by evaluating the mention rates on Twitter and on Facebook. Moreover, the correlation between tweets and citations is analyzed by publication year, discipline and Twitter user type to explore factors affecting the correlation. The results show that Twitter users have a higher concern degree on Nature articles than Facebook users, and Nature articles have higher and faster-growing impact on Twitter than on Facebook. The results also show that tweets and citations are somewhat related, and they mostly measure different types of impact. In addition, the correlation between tweets and citations highly depends on publication year, discipline and Twitter user type.

An insight into Twitter: a corpus based contrastive study in English and Spanish.

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Irina Argüelles Álvarez

2012-07-01

Full Text Available The aim of this paper is to study the use of Spanish and English in the micro-blogging social network Twitter from a contrastive point of view. A quantitative research methodology is applied in order firstly, to identify specific common characteristics of language, organization and content in the medium and secondly, to find eventual differences in the use of a particular language. To carry out the experiment, two corpora were constructed using language data from Twitter, one in Spanish with a total number of 4,027,746 words and another with similar characteristics in English with a total number of 4,655,992 words. From the results obtained, the conclusion is that there are a number of very general discourse and organizational features common to the two corpora under study. It is also concluded that there are some particular characteristics which differentiate the use of English and Spanish in the medium.

Measuring political polarization: Twitter shows the two sides of Venezuela

Science.gov (United States)

Morales, A. J.; Borondo, J.; Losada, J. C.; Benito, R. M.

2015-03-01

We say that a population is perfectly polarized when divided in two groups of the same size and opposite opinions. In this paper, we propose a methodology to study and measure the emergence of polarization from social interactions. We begin by proposing a model to estimate opinions in which a minority of influential individuals propagate their opinions through a social network. The result of the model is an opinion probability density function. Next, we propose an index to quantify the extent to which the resulting distribution is polarized. Finally, we apply the proposed methodology to a Twitter conversation about the late Venezuelan president, Hugo Chávez, finding a good agreement between our results and offline data. Hence, we show that our methodology can detect different degrees of polarization, depending on the structure of the network.

Detecting Bots on Russian Political Twitter.

Science.gov (United States)

Stukal, Denis; Sanovich, Sergey; Bonneau, Richard; Tucker, Joshua A

2017-12-01

Automated and semiautomated Twitter accounts, bots, have recently gained significant public attention due to their potential interference in the political realm. In this study, we develop a methodology for detecting bots on Twitter using an ensemble of classifiers and apply it to study bot activity within political discussions in the Russian Twittersphere. We focus on the interval from February 2014 to December 2015, an especially consequential period in Russian politics. Among accounts actively Tweeting about Russian politics, we find that on the majority of days, the proportion of Tweets produced by bots exceeds 50%. We reveal bot characteristics that distinguish them from humans in this corpus, and find that the software platform used for Tweeting is among the best predictors of bots. Finally, we find suggestive evidence that one prominent activity that bots were involved in on Russian political Twitter is the spread of news stories and promotion of media who produce them.

Twitter as a Tool for Teaching and Communicating Microbiology: The #microMOOCSEM Initiative

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Ignacio López-Goñi

2016-12-01

Full Text Available Online social networks are increasingly used by the population on a daily basis. They are considered a powerful tool for science communication and their potential as educational tools is emerging. However, their usefulness in academic practice is still a matter of debate. Here, we present the results of our pioneering experience teaching a full Basic Microbiology course via Twitter (#microMOOCSEM, consisting of 28 lessons of 40-45 minutes duration each, at a tweet per minute rate during 10 weeks. Lessons were prepared by 30 different lecturers, covering most basic areas in Microbiology and some monographic topics of general interest (malaria, HIV, tuberculosis, etc.. Data analysis on the impact and acceptance of the course were largely affirmative, promoting a 330% enhancement in the followers and a >350-fold increase of the number of visits per month to the Twitter account of the host institution, the Spanish Society for Microbiology. Almost one third of the course followers were located overseas. Our study indicates that Massive Online Open Courses (MOOC via Twitter are highly dynamic, interactive, and accessible to great audiences, providing a valuable tool for social learning and communicating science. This strategy attracts the interest of students towards particular topics in the field, efficiently complementing customary academic activities, especially in multidisciplinary areas like Microbiology.

Use of twitter and Facebook by top European museums

OpenAIRE

Kostas Zafiropoulos; Vasiliki Vrana; Konstantinos Antoniadis

2015-01-01

With social media becoming so pervasive, museums strive to adopt them for their own use. Effective use of social media especially Facebook and Twitter seems to be promising. Social media offer museums the possibility to engage audiences, potential and active visitors with their collections and ideas. Facebook and Twitter are the market leaders of social media. This paper records the top European museums and their Facebook and Twitter accounts. It records the use of the two media, and by apply...

Promoviendo la investigación en salud con Twitter

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Walter H. Curioso

2011-07-01

Full Text Available Objetivo: Discutir el uso de Twitter como una herramienta para la investigación y la promoción de la investigación, y describir la experiencia con la cuenta en Twitter de la Oficina de Promoción a la Investigación de la Universidad Peruana Cayetano Heredia (UPCH. Material y métodos: Para el primer objetivo, se realizó una búsqueda bibliográfica en MEDLINE, LILACS, LIPECS y Google Académico sobre el uso de Twitter y su aplicación en investigación y promoción de la investigación. Para el segundo objetivo, se realizó un análisis descriptivo de la base de datos de la cuenta en Twitter de la Oficina de Promoción a la Investigación de la UPCH. Resultados: Twitter es un servicio en línea gratuito, de fácil uso, el cual permite enviar y recibir mensajes cortos de hasta 140 caracteres (llamados "tweets". Twitter permite la comunicación casi en tiempo real y ha sido utilizado en investigación en salud para la vigilancia, educación y como una herramienta para la promoción, prevención y soporte al tratamiento de diversas condiciones. Asimismo, la experiencia de la Oficina de Promoción a la Investigación muestra que Twitter es un medio eficiente para la promoción de eventos, oportunidades de financiamiento y publicaciones relacionadas a la investigación. Conclusiones: Twitter es una herramienta importante con potencial para la investigación y la promoción de la investigación, como lo muestra el creciente número de publicaciones, y la experiencia preliminar de la Oficina de Promoción a la Investigación de la UPCH. (Rev Med Hered 2011;22:121-130.

Information fusion-based approach for studying influence on Twitter using belief theory.

Science.gov (United States)

Azaza, Lobna; Kirgizov, Sergey; Savonnet, Marinette; Leclercq, Éric; Gastineau, Nicolas; Faiz, Rim

2016-01-01

Influence in Twitter has become recently a hot research topic, since this micro-blogging service is widely used to share and disseminate information. Some users are more able than others to influence and persuade peers. Thus, studying most influential users leads to reach a large-scale information diffusion area, something very useful in marketing or political campaigns. In this study, we propose a new approach for multi-level influence assessment on multi-relational networks, such as Twitter . We define a social graph to model the relationships between users as a multiplex graph where users are represented by nodes, and links model the different relations between them (e.g., retweets , mentions , and replies ). We explore how relations between nodes in this graph could reveal about the influence degree and propose a generic computational model to assess influence degree of a certain node. This is based on the conjunctive combination rule from the belief functions theory to combine different types of relations. We experiment the proposed method on a large amount of data gathered from Twitter during the European Elections 2014 and deduce top influential candidates. The results show that our model is flexible enough to to consider multiple interactions combination according to social scientists needs or requirements and that the numerical results of the belief theory are accurate. We also evaluate the approach over the CLEF RepLab 2014 data set and show that our approach leads to quite interesting results.

The use and impact of Twitter at medical conferences: Best practices and Twitter etiquette.

Science.gov (United States)

Pemmaraju, Naveen; Mesa, Ruben A; Majhail, Navneet S; Thompson, Michael A

2017-10-01

The use of social media, and in particular, Twitter, for professional use among healthcare providers is rapidly increasing across the world. One medical subspecialty that is leading the integration of this new platform for communication into daily practice and for information dissemination to the general public is the field of hematology/oncology. A growing amount of research in this area demonstrates that there is increasing interest among physicians to learn not only how to use social media for consumption of educational material, but also how to generate and contribute original content in one's interest/expert areas. One aspect in which this phenomenon has been highlighted is at the time of maximum new information presentation: at a major medical conference. Hematologists/oncologists are engaging regularly in one of the most common forms of social media, Twitter, during major medical conferences, for purposes of debate, discussion, and real-time evaluation of the data being presented. As interest has grown in this area, this article aims to review the new norms, practices, and impact of using Twitter at the time of medical conferences, and also explores some of the barriers and pitfalls that users are encountering in this emerging field. Copyright © 2017. Published by Elsevier Inc.

Community crosstalk: An exploratory analysis of destination and festival eWOM on Twitter

OpenAIRE

Williams, Nigel; Inversini, Alessandro; Buhalis, Dimitrios; Ferdinand, Nicole

2015-01-01

Research suggests that festivals can promote a destination via online word-of-mouth (eWOM) on socialmedia, even though the nature of this effect is not yet fully understood. Using a combination of Social Network Analysis and text analysis (qualitative and quantitative), this article examines eWOM at a tourism destination (Bournemouth) when a festival (Bournemouth Air Show 2013) is staged. The Communities of Interest of eWOM interactions on Twitter were captured and analysed to understand the ...

Community crosstalk: an exploratory analysis of destination and festival eWOM on Twitter

OpenAIRE

Williams, Nigel L.; Inversini, Alessandro; Buhalis, Dimitrios; Ferdinand, Nicole

2015-01-01

Research suggests that festivals can promote a destination via online word-of-mouth (eWOM) on social media, even though the nature of this effect is not yet fully understood. Using a combination of Social Network Analysis and text analysis (qualitative and quantitative), this article examines eWOM at a tourism destination (Bournemouth) when a festival (Bournemouth Air Show 2013) is staged. The Communities of Interest of eWOM interactions on Twitter were captured and analysed to understand the...

Evidence of complex contagion of information in social media: An experiment using Twitter bots.

Directory of Open Access Journals (Sweden)

Bjarke Mønsted

Full Text Available It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with millions of users. One question that systematically recurs is whether information spreads according to simple or complex dynamics: does each exposure to a piece of information have an independent probability of a user adopting it (simple contagion, or does this probability depend instead on the number of sources of exposure, increasing above some threshold (complex contagion? Most studies to date are observational and, therefore, unable to disentangle the effects of confounding factors such as social reinforcement, homophily, limited attention, or network community structure. Here we describe a novel controlled experiment that we performed on Twitter using 'social bots' deployed to carry out coordinated attempts at spreading information. We propose two Bayesian statistical models describing simple and complex contagion dynamics, and test the competing hypotheses. We provide experimental evidence that the complex contagion model describes the observed information diffusion behavior more accurately than simple contagion. Future applications of our results include more effective defenses against malicious propaganda campaigns on social media, improved marketing and advertisement strategies, and design of effective network intervention techniques.

Evidence of complex contagion of information in social media: An experiment using Twitter bots.

Science.gov (United States)

Mønsted, Bjarke; Sapieżyński, Piotr; Ferrara, Emilio; Lehmann, Sune

2017-01-01

It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with millions of users. One question that systematically recurs is whether information spreads according to simple or complex dynamics: does each exposure to a piece of information have an independent probability of a user adopting it (simple contagion), or does this probability depend instead on the number of sources of exposure, increasing above some threshold (complex contagion)? Most studies to date are observational and, therefore, unable to disentangle the effects of confounding factors such as social reinforcement, homophily, limited attention, or network community structure. Here we describe a novel controlled experiment that we performed on Twitter using 'social bots' deployed to carry out coordinated attempts at spreading information. We propose two Bayesian statistical models describing simple and complex contagion dynamics, and test the competing hypotheses. We provide experimental evidence that the complex contagion model describes the observed information diffusion behavior more accurately than simple contagion. Future applications of our results include more effective defenses against malicious propaganda campaigns on social media, improved marketing and advertisement strategies, and design of effective network intervention techniques.

Social network in patient safety: Social media visibility

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Azucena Santillán García

2011-11-01

Full Text Available Internet social network (social media is a powerful communication tool, and its use is expanding significantly. This paper seeks to know the current state of visibility in online social networks of active citizen talking about patient safety. This is an observational cross-sectional study whose target population is the websites Facebook, Twitter and Tuenti in Spain. By three consecutive cuts social profiles were found using the searching terms “seguridad+paciente” and “safety+patient”. There were found 5 profiles on Facebook that met the search criteria, 6 on Twitter and none were found on Tuenti. It is concluded that although there is evidence of the rise of social networking, citizen network involved in patient safety appears not to be significantly represented within the social networks examined.

Protecting Personal Information on Social Networking Sites

Science.gov (United States)

Gallant, David T.

2011-01-01

Almost everyone uses social networking sites like Facebook, MySpace, and LinkedIn. Since Facebook is the most popular site in the history of the Internet, this article will focus on how one can protect his/her personal information and how that extends to protecting the private information of others.

The (Un)Predictability of Emotional Hashtags in Twitter

NARCIS (Netherlands)

Kunneman, F.A.; Liebrecht, C.C.; Bosch, A.P.J. van den

2014-01-01

Hashtags in Twitter posts may carry different semantic payloads. Their dual form (word and label) may serve to categorize the tweet, but may also add content to the message, or strengthen it. Some hashtags are related to emotions. In a study on emotional hashtags in Dutch Twitter posts we employ

Building automatic customer complaints filtering application based on Twitter in Bahasa Indonesia

Science.gov (United States)

Gunawan, D.; Siregar, R. P.; Rahmat, R. F.; Amalia, A.

2018-03-01

Twitter has become a media to provide communication between a company with its customers. The average number of Twitter active users monthly is 330 million. A lot of companies realize the potential of Twitter to establish good relationship with their customers. Therefore, they usually have one official Twitter account to act as customer care division. In Indonesia, one of the company that utilizes the potential of Twitter to reach their customers is PT Telkom. PT Telkom has an official customer service account (called @TelkomCare) to receive customers’ problem. However, because of this account is open for public, Twitter users might post all kind of messages (not only complaints) to Telkom Care account. This leads to a problem that the Telkom Care account contains not only the customer complaints but also compliment and ordinary message. Furthermore, the complaints should be distributed to relevant division such as “Indihome”, “Telkomsel”, “UseeTV”, and “Telepon” based on the content of the message. This research built the application that automatically filter twitter post messages into several pre-defined categories (based on existing divisions) using Naïve Bayes algorithm. This research is done by collecting Twitter message, data cleaning, data pre-processing, training and testing data, and evaluate the classification result. This research yields 97% accuracy to classify Twitter message into the categories mentioned earlier.