WorldWideScience

Sample records for twitter viterbi career

  1. 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.

  2. Pipelined Viterbi Decoder Using FPGA

    Directory of Open Access Journals (Sweden)

    Nayel Al-Zubi

    2013-02-01

    Full Text Available Convolutional encoding is used in almost all digital communication systems to get better gain in BER (Bit Error Rate, and all applications needs high throughput rate. The Viterbi algorithm is the solution in decoding process. The nonlinear and feedback nature of the Viterbi decoder makes its high speed implementation harder. One of promising approaches to get high throughput in the Viterbi decoder is to introduce a pipelining. This work applies a carry-save technique, which gets the advantage that the critical path in the ACS feedback becomes in one direction and get rid of carry ripple in the “Add” part of ACS unit. In this simulation and implementation show how this technique will improve the throughput of the Viterbi decoder. The design complexities for the bit-pipelined architecture are evaluated and demonstrated using Verilog HDL simulation. And a general algorithm in software that simulates a Viterbi Decoder was developed. Our research is concerned with implementation of the Viterbi Decoders for Field Programmable Gate Arrays (FPGA. Generally FPGA's are slower than custom integrated circuits but can be configured in the lab in few hours as compared to fabrication which takes few months. The design implemented using Verilog HDL and synthesized for Xilinx FPGA's.

  3. High Speed Viterbi Decoder Architecture

    DEFF Research Database (Denmark)

    Paaske, Erik; Andersen, Jakob Dahl

    1998-01-01

    The fastest commercially available Viterbi decoders for the (171,133) standard rate 1/2 code operate with a decoding speed of 40-50 Mbit/s (net data rate). In this paper we present a suitable architecture for decoders operating with decoding speeds of 150-300 Mbit/s.......The fastest commercially available Viterbi decoders for the (171,133) standard rate 1/2 code operate with a decoding speed of 40-50 Mbit/s (net data rate). In this paper we present a suitable architecture for decoders operating with decoding speeds of 150-300 Mbit/s....

  4. FPGA Realization of Memory 10 Viterbi Decoder

    DEFF Research Database (Denmark)

    Paaske, Erik; Bach, Thomas Bo; Andersen, Jakob Dahl

    1997-01-01

    sequence mode when feedback from the Reed-Solomon decoder is available. The Viterbi decoder is realized using two Altera FLEX 10K50 FPGA's. The overall operating speed is 30 kbit/s, and since up to three iterations are performed for each frame and only one decoder is used, the operating speed...

  5. High Speed Frame Synchronization and Viterbi Decoding

    DEFF Research Database (Denmark)

    Paaske, Erik; Justesen, Jørn; Larsen, Knud J.

    1998-01-01

    The study has been divided into two phases. The purpose of Phase 1 of the study was to describe the system structure and algorithms in sufficient detail to allow drawing the high level architecture of units containing frame synchronization and Viterbi decoding. After selection of which specific...... separated by a sync marker and protected by error-correcting codes. We first give a survey of trends within the area of space modulation systems. We then discuss and define the interfaces and operating modes of the relevant system components. We present a list of system configurations that we find...... potentially useful.Algorithms for frame synchronization are described and analyzed. Further, the high level architecture of units that contain frame synchronization and various other functions needed in a complete system is presented. Two such units are described, one for placement before the Viterbi decoder...

  6. High Speed Frame Synchronization and Viterbi Decoding

    DEFF Research Database (Denmark)

    Paaske, Erik; Justesen, Jørn; Larsen, Knud J.

    1996-01-01

    The purpose of Phase 1 of the study is to describe the system structure and algorithms in sufficient detail to allow drawing the high level architecture of units containing frame synchronization and Viterbi decoding. The systems we consider are high data rate space communication systems. Also......, the systems use some form of QPSK modulation and transmit data in frames separated by a sync marker and protected by error-correcting codes. We first give a survey of trends within the area of space modulation systems. We then discuss and define the interfaces and operating modes of the relevant system...... components. Node synchronization performed within a Viterbi decoder is discussed, and algorithms for frame synchronization are described and analyzed. We present a list of system configurations that we find potentially useful. Further, the high level architecture of units that contain frame synchronization...

  7. DSP Specific Optimized Implementation of Viterbi Decoder

    Directory of Open Access Journals (Sweden)

    Yame Asfia

    2010-04-01

    Full Text Available Due to the rapid changing and flexibility of Wireless Communication protocols, there is a desire to move from hardware to software/firmware implementation in DSPs. High data rate requirements suggest highly optimized firmware implementation in terms of execution speed and high memory requirements. This paper suggests optimization levels for the implementation of a viable Viterbi decoding algorithm (rate ½ on a commercial off-the-shelf DSP.

  8. Performance Analysis of Viterbi Decoder for Wireless Applications

    Directory of Open Access Journals (Sweden)

    G.Sivasankar

    2014-07-01

    Full Text Available Viterbi decoder is employed in wireless communication to decode the convolutional codes; those codes are used in every robust digital communication systems. Convolutional encoding and viterbi decoding is a powerful method for forward error correction. This paper deals with synthesis and implementation of viterbi decoder with a constraint length of three as well as seven and the code rate of ½ in FPGA (Field Programmable Gate Array. The performance of viterbi decoder is analyzed in terms of resource utilization. The design of viterbi decoder is simulated using Verilog HDL. It is synthesized and implemented using Xilinx 9.1ise and Spartan 3E Kit. It is compatible with many common standards such as 3GPP, IEEE 802.16 and LTE.

  9. Performance of mismatched Viterbi receiver on satellite channels

    Science.gov (United States)

    Divsalar, D.; Omura, J. K.

    1979-01-01

    This paper presents an analysis of a satellite communication system using a Viterbi receiver. Here we have a bandlimited nonlinear channel where both uplink and downlink are taken into account as well as the effect of Intersymbol Interference, phase and time synchronization errors. In order that ISI can be combatted effectively, we use a Viterbi demodulator which is designed for the satellite channel when there is no uplink noise. The Viterbi demodulator for the channels with large memory is too complex to be implemented. To reduce the complexity, a Viterbi demodulator with memory shorter than the true channel memory is used. The objective of this paper is to analyze the performance degradation of this 'Mismatched Viterbi Receiver' due to the uplink noise and memory truncation, and to understand how the time and phase synchronization errors influence the performance.

  10. Linewidth tolerance of digital coherent receiver using Viterbi & Viterbi RF carrier recovery for radio-over-fibre links

    DEFF Research Database (Denmark)

    Guerrero Gonzalez, Neil; Zibar, Darko; Larsen, Knud J.

    2009-01-01

    for phase-modulated RoF optical links (2). The RF signal processing in (2) is performed using maximum likelihood RF carrier phase estimation (2). In this paper, we investigate the performance of the proposed digital coherent receiver in (2) using feedforward Viterbi & Viterbi RF carrier recovery algorithm...

  11. Space vehicle Viterbi decoder. [data converters, algorithms

    Science.gov (United States)

    1975-01-01

    The design and fabrication of an extremely low-power, constraint-length 7, rate 1/3 Viterbi decoder brassboard capable of operating at information rates of up to 100 kb/s is presented. The brassboard is partitioned to facilitate a later transition to an LSI version requiring even less power. The effect of soft-decision thresholds, path memory lengths, and output selection algorithms on the bit error rate is evaluated. A branch synchronization algorithm is compared with a more conventional approach. The implementation of the decoder and its test set (including all-digital noise source) are described along with the results of various system tests and evaluations. Results and recommendations are presented.

  12. Area and Energy Efficient Viterbi Accelerator for Embedded Processor Datapaths

    National Research Council Canada - National Science Library

    Abdul Rehman Buzdar; Liguo Sun; Muhammad Waqar Azhar; Muhammad Imran Khan; Rao Kashif

    2017-01-01

    .... We present the integration of a mixed hardware/software viterbi accelerator unit with an embedded processor datapath to enhance the processor performance in terms of execution time and energy efficiency...

  13. Interleaved Convolutional Code and Its Viterbi Decoder Architecture

    OpenAIRE

    2003-01-01

    We propose an area-efficient high-speed interleaved Viterbi decoder architecture, which is based on the state-parallel architecture with register exchange path memory structure, for interleaved convolutional code. The state-parallel architecture uses as many add-compare-select (ACS) units as the number of trellis states. By replacing each delay (or storage) element in state metrics memory (or path metrics memory) and path memory (or survival memory) with delays, interleaved Viterbi decoder ...

  14. Twitter and public health.

    Science.gov (United States)

    Bartlett, Catherine; Wurtz, Rebecca

    2015-01-01

    Twitter can serve as a powerful communication modality to both "push" and "pull" public health data; each user is a potential public health sensor and actor. However, in 2012, only 8% of local health departments had Twitter accounts. We outline how Twitter works, describe how to access public tweets for public health surveillance purposes, review the literature on Twitter's current and potential role supporting public health's essential services, summarize Twitter's limitations, and make recommendations for health department use.

  15. A Low Power Viterbi Decoder for Trellis Coded Modulation System

    Directory of Open Access Journals (Sweden)

    M. Jansi Rani

    2014-02-01

    Full Text Available Forward Error Correction (FEC schemes are an essential component of wireless communication systems. Convolutional codes are employed to implement FEC but the complexity of corresponding decoders increases exponentially according to the constraint length. Present wireless standards such as Third generation (3G systems, GSM, 802.11A, 802.16 utilize some configuration of convolutional coding. Convolutional encoding with Viterbi decoding is a powerful method for forward error correction. Viterbi algorithm is the most extensively employed decoding algorithm for convolutional codes. The main aim of this project is to design FPGA based Viterbi algorithm which encrypts / decrypts the data. In this project the encryption / decryption algorithm is designed and programmed in to the FPGA.

  16. Interleaved Convolutional Code and Its Viterbi Decoder Architecture

    Directory of Open Access Journals (Sweden)

    Jun Jin Kong

    2003-12-01

    Full Text Available We propose an area-efficient high-speed interleaved Viterbi decoder architecture, which is based on the state-parallel architecture with register exchange path memory structure, for interleaved convolutional code. The state-parallel architecture uses as many add-compare-select (ACS units as the number of trellis states. By replacing each delay (or storage element in state metrics memory (or path metrics memory and path memory (or survival memory with I delays, interleaved Viterbi decoder is obtained where I is the interleaving degree. The decoding speed of this decoder architecture is as fast as the operating clock speed. The latency of proposed interleaved Viterbi decoder is “decoding depth (DD × interleaving degree (I+ extra delays (A,” which increases linearly with the interleaving degree I.

  17. Combined Viterbi Detector for a Balanced Code in Page Memories

    Institute of Scientific and Technical Information of China (English)

    Chen Duan-rong; Xie Chang-sheng; Pei Xian-deng

    2004-01-01

    Based on the two path metrics being equal at a merged node in the trellis employed to describe a Viterbi detector for the detection of data encoded with a rate 6∶8 balanced binary code in page-oriented optical memories, the combined Viterbi detector scheme is proposed to improve raw bit-error rate performance by mitigating the occurrence of a two-bit reversing error event in an estimated codeword for the balanced code. The effectiveness of the detection scheme is verified for different data quantizations using Monte Carlo simulations.

  18. Twitter content classification

    OpenAIRE

    2010-01-01

    This paper delivers a new Twitter content classification framework based sixteen existing Twitter studies and a grounded theory analysis of a personal Twitter history. It expands the existing understanding of Twitter as a multifunction tool for personal, profession, commercial and phatic communications with a split level classification scheme that offers broad categorization and specific sub categories for deeper insight into the real world application of the service.

  19. A VLSI design for a trace-back Viterbi decoder

    Science.gov (United States)

    Truong, T. K.; Shih, Ming-Tang; Reed, Irving S.; Satorius, E. H.

    1992-01-01

    A systolic Viterbi decoder for convolutional codes is developed which uses the trace-back method to reduce the amount of data needed to be stored in registers. It is shown that this new algorithm requires a smaller chip size and achieves a faster decoding time than other existing methods.

  20. The Viterbi Algorithm expressed in Constraint Handling Rules

    DEFF Research Database (Denmark)

    Christiansen, Henning; Have, Christian Theil; Lassen, Ole Torp;

    2010-01-01

    The Viterbi algorithm is a classical example of a dynamic programming algorithm, in which pruning reduces the search space drastically, so that an otherwise exponential time complexity is reduced to linearity. The central steps of the algorithm, expansion and pruning, can be expressed in a concise...

  1. Twittering with Python

    OpenAIRE

    Andreas SCHREIBER

    2009-01-01

    The use of the Web 2.0 service Twitter is growing rapidly. More and more people, projects, companies, organizations, or others are using Twitter to send out a lot of 140 character messages to the world (i.e., their followers). This talk gives an overview of how to use Python for automating Twitter actions, such as sending tweets, viewing tweets of friends, and managing the list of Twitter friends. The various existing Python libraries for accessing the Twitter API are presented and compar...

  2. Voice activity detection based on deep neural networks and Viterbi

    Science.gov (United States)

    Bai, Liang; Zhang, Zhen; Hu, Jun

    2017-09-01

    Voice Activity Detection (VAD) is important in speech processing. In the applications, the systems usually need to separate speech/non-speech parts, so that only the speech part can be dealt with. How to improve the performances of VAD in different noisy environments is an important issue in speech processing. Deep Neural network, which proves its efficiency in speech recognition, has been widely used in recent years. This paper studies the present typical VAD algorithms, and presents a new VAD algorithm based on deep neural networks and Viterbi algorithm. The result demonstrates the effectiveness of the deep neural network with Viterbi used in VAD. In addition, it shows the flexibility and the real-time performance of the algorithms.

  3. 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

  4. 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

  5. Joining the Twitter Conversation

    Science.gov (United States)

    Hagman, Jessica

    2012-01-01

    Twitter is a microblogging site, one where users send out messages of no more than 140 characters. The messages, known as tweets, can be seen by anyone who follows the account. Twitter is free, but free as in kittens, not as in pizza. To use it effectively, it will take time to learn the language and develop content. When used effectively, Twitter…

  6. Twitter and political campaigning

    NARCIS (Netherlands)

    Vergeer, M.R.M.

    2015-01-01

    The use of Twitter by politicians, parties, and the general audience in politics, particularly during election campaigns, has become an extremely popular research field almost overnight. Even though Twitter, a medium that emerged early in 2006 – the first tweet was posted on 21 March 2006 by Jack Do

  7. Enhance Your Twitter Experience

    Science.gov (United States)

    Miller, Shannon McClintock

    2010-01-01

    The author has been encouraging teachers, students, and others to join Twitter and build their personal learning networks (PLNs) ever since she delved into this great social networking site. In this article, she offers a few other tools and tips that can improve the Twitter experience of those who have opened up an account and dabbled a bit but…

  8. Comparative investigation into Viterbi based and multiple hypothesis based track stitching

    CSIR Research Space (South Africa)

    Van der Merwe, LJ

    2016-12-01

    Full Text Available In this study a comparative analysis is performed between a novel Viterbi based and multiple hypothesis based track stitching algorithms. The track fragments in the Viterbi based track stitching algorithm are modelled as nodes in a trellis structure...

  9. 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

  10. 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

  11. 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

  12. Testing interconnected VLSI circuits in the Big Viterbi Decoder

    Science.gov (United States)

    Onyszchuk, I. M.

    1991-01-01

    The Big Viterbi Decoder (BVD) is a powerful error-correcting hardware device for the Deep Space Network (DSN), in support of the Galileo and Comet Rendezvous Asteroid Flyby (CRAF)/Cassini Missions. Recently, a prototype was completed and run successfully at 400,000 or more decoded bits per second. This prototype is a complex digital system whose core arithmetic unit consists of 256 identical very large scale integration (VLSI) gate-array chips, 16 on each of 16 identical boards which are connected through a 28-layer, printed-circuit backplane using 4416 wires. Special techniques were developed for debugging, testing, and locating faults inside individual chips, on boards, and within the entire decoder. The methods are based upon hierarchical structure in the decoder, and require that chips or boards be wired themselves as Viterbi decoders. The basic procedure consists of sending a small set of known, very noisy channel symbols through a decoder, and matching observables against values computed by a software simulation. Also, tests were devised for finding open and short-circuited wires which connect VLSI chips on the boards and through the backplane.

  13. A quantum algorithm for Viterbi decoding of classical convolutional codes

    Science.gov (United States)

    Grice, Jon R.; Meyer, David A.

    2015-07-01

    We present a quantum Viterbi algorithm (QVA) with better than classical performance under certain conditions. In this paper, the proposed algorithm is applied to decoding classical convolutional codes, for instance, large constraint length and short decode frames . Other applications of the classical Viterbi algorithm where is large (e.g., speech processing) could experience significant speedup with the QVA. The QVA exploits the fact that the decoding trellis is similar to the butterfly diagram of the fast Fourier transform, with its corresponding fast quantum algorithm. The tensor-product structure of the butterfly diagram corresponds to a quantum superposition that we show can be efficiently prepared. The quantum speedup is possible because the performance of the QVA depends on the fanout (number of possible transitions from any given state in the hidden Markov model) which is in general much less than . The QVA constructs a superposition of states which correspond to all legal paths through the decoding lattice, with phase as a function of the probability of the path being taken given received data. A specialized amplitude amplification procedure is applied one or more times to recover a superposition where the most probable path has a high probability of being measured.

  14. Convolutional Encoder and Viterbi Decoder Using SOPC For Variable Constraint Length

    DEFF Research Database (Denmark)

    Kulkarni, Anuradha; Dnyaneshwar, Mantri; Prasad, Neeli R.;

    2013-01-01

    Convolution encoder and Viterbi decoder are the basic and important blocks in any Code Division Multiple Accesses (CDMA). They are widely used in communication system due to their error correcting capability But the performance degrades with variable constraint length. In this context to have...... detailed analysis, this paper deals with the implementation of convolution encoder and Viterbi decoder using system on programming chip (SOPC). It uses variable constraint length of 7, 8 and 9 bits for 1/2 and 1/3 code rates. By analyzing the Viterbi algorithm it is seen that our algorithm has a better...

  15. Advanced indoor localisation based on the Viterbi algorithm and semantic data

    OpenAIRE

    Trogh, Jens; Plets, David; Martens, Luc; Joseph, Wout

    2015-01-01

    In this work a real-time indoor localisation system based on the Viterbi algorithm is developed. This Viterbi principle is used in combination with semantic data to improve the accuracy: i.e., the environment of the object that is being tracked and an adjustable maximum speed. The developed algorithm was verified by simulations and with experiments in a building-wide testbed for sensor and WiFi experiments. Compared to a reference algorithm without Viterbi or semantic data, the results indica...

  16. On-line Viterbi Algorithm and Its Relationship to Random Walks

    CERN Document Server

    ?rámek, Rastislav; Vina?, Tomá?

    2007-01-01

    In this paper, we introduce the on-line Viterbi algorithm for decoding hidden Markov models (HMMs) in much smaller than linear space. Our analysis on two-state HMMs suggests that the expected maximum memory used to decode sequence of length $n$ with $m$-state HMM can be as low as $\\Theta(m\\log n)$, without a significant slow-down compared to the classical Viterbi algorithm. Classical Viterbi algorithm requires $O(mn)$ space, which is impractical for analysis of long DNA sequences (such as complete human genome chromosomes) and for continuous data streams. We also experimentally demonstrate the performance of the on-line Viterbi algorithm on a simple HMM for gene finding on both simulated and real DNA sequences.

  17. Nurses and Twitter

    DEFF Research Database (Denmark)

    Wilson, Rhonda; Ranse, Jamie; Cashin, Andrew

    2014-01-01

    Nurses and other health professionals are adopting social media to network with health care professionals and organizations, support health education, deliver health promotion messages, enhance professional development and employment opportunities, and communicate within political forums....... This paper explores the growing use of social media, and examines the current dynamics of Twitter as an example of the uptake of social media. This paper also offers practical guidance for new Twitter users who are interested in using this social media approach in clinical or educational settings...

  18. 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…

  19. Twitter Tips, Tricks, and Tweets

    CERN Document Server

    McFedries, Paul

    2010-01-01

    Maximize your fun and boost your productivity with this updated, full-color guide to tantalizing Twitter tips!. The popularity of Twitter continues to soar, and is fast becoming the most popular social networking site online. Whether you're looking to learn how to set up an account for the first time or are on the prowl for some cool third-party Twitter apps, this full-color guide will boost your entire Twitter experience. Allowing you to communicate with fellow Twitters within a 140-character limit, this fun and fascinating social networking tool is easier than maintaining a blog and quicker

  20. Twitter and Canadian Educators

    Science.gov (United States)

    Cooke, Max

    2012-01-01

    An emerging group of leaders in Canadian education has attracted thousands of followers. They've made Twitter an extension of their lives, delivering twenty or more tweets a day that can include, for example, links to media articles, research, new ideas from education bloggers, or to their own, or simply a personal thought. At their best,…

  1. Twitter's visual pulse

    OpenAIRE

    Hare, Jonathon; Samangooei, Sina; Dupplaw, David; Lewis, Paul H.

    2013-01-01

    Millions of images are tweeted every day, yet very little research has looked at the non-textual aspect of social media communication. In this work we have developed a system to analyse streams of image data. In particular we explore trends in similar, related, evolving or even duplicated visual artefacts in the mass of tweeted image data — in short, we explore the visual pulse of Twitter.

  2. 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...

  3. Regionaal gekwetter : Ervaringen met Twitter bij incidentbestrijding

    NARCIS (Netherlands)

    Voorst, J. van; Treurniet, W.

    2011-01-01

    Het professioneel gebruik van Twitter krijgt binnen de veiligheidsregio’s steeds meer aandacht. Deze aandacht gaat vooral uit naar de kracht van Twitter als communicatiemiddel. Kan Twitter ook een bijdrage leveren aan de beeldvorming van hulpverleningsdiensten?

  4. 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

  5. Twitter and Health Science Research.

    Science.gov (United States)

    Finfgeld-Connett, Deborah

    2015-10-01

    Twitter is a communication platform that can be used to conduct health science research, but a full understanding of its use remains unclear. The purpose of this narrative literature review was to examine how Twitter is currently being used to conduct research in the health sciences and to consider how it might be used in the future. A time-limited search of the health-related research was conducted, which resulted in 31 peer-reviewed articles for review. Information relating to how Twitter is being used to conduct research was extracted and categorized, and an explanatory narrative was developed. To date, Twitter is largely being used to conduct large-scale studies, but this research is complicated by challenges relating to collecting and analyzing big data. Conversely, the use of Twitter to conduct small-scale investigations appears to be relatively unexplored.

  6. 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 ...

  7. 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 ...

  8. 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…

  9. 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…

  10. 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.

  11. A Low Power VITERBI Decoder Design With Minimum Transition Hybrid Register Exchange Processing For Wireless Applications

    Directory of Open Access Journals (Sweden)

    S. L. Haridas

    2010-12-01

    Full Text Available This work proposes the low power implementation of Viterbi Decoder. Majority of viterbi decoder designs in the past use simple Register Exchange or Traceback method to achieve very high speed and low power decoding respectively, but it suffers from both complex routing and high switching activity.Here simplification is made in survivor memory unit by storing only m-1 bits to identify previous state in the survivor path, and by assigning m-1 registers to decision vectors. This approach eliminates unnecessary shift operations. Also for storing the decoded data only half memory is required than register exchange method. In this paper Hybrid approach that combines both Traceback and Register Exchange schemes has been applied to the viterbi decoder design. By using distance properties of encoder we further modified to minimum transition hybrid register exchange method. It leads to lower dynamic power consumption because of lower switching activity. Dynamic power estimation obtained through gate level simulation indicates that the proposed design reduces the power dissipation of a conventional viterbi decoder design by 30%.

  12. A Low Power VITERBI Decoder Design With Minimum Transition Hybrid Register Exchange Processing For Wireless Applications

    Directory of Open Access Journals (Sweden)

    S. L. Haridas

    2010-12-01

    Full Text Available This work proposes the low power implementation of Viterbi Decoder. Majority of viterbi decoder designs in the past use simple Register Exchange or Trace back method to achieve very high speed and low power decoding respectively, but it suffers from both complex routing and high switching activity.Here simplification is made in survivor memory unit by storing only m-1 bits to identify previous state in the survivor path, and by assigning m-1 registers to decision vectors. This approach eliminates unnecessary shift operations. Also for storing the decoded data only half memory is required than register exchange method. In this paper Hybrid approach that combines both Trace back and Register Exchange schemes has been applied to the viterbi decoder design. By using distance properties of encoder we further modified to minimum transition hybrid register exchange method. It leads to lower dynamic power consumption because of lower switching activity. Dynamic power estimation obtained through gate level simulation indicates that the proposed design reduces the power dissipation of a conventional viterbi decoder design by 30%.

  13. 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

  14. Implementation of Convolution Encoder and Viterbi Decoder for Constraint Length 7 and Bit Rate 1/2

    Directory of Open Access Journals (Sweden)

    Mr. Sandesh Y.M

    2013-11-01

    Full Text Available Convolutional codes are non blocking codes that can be designed to either error detecting or correcting. Convolution coding has been used in communication systems including deep space communication and wireless communication. At the receiver end the original message sequence is obtained from the received data using Viterbi decoder. It implements Viterbi Algorithm which is a maximum likelihood algorithm, based on the minimum cumulative hamming distance it decides the optimal trellis path that is most likely followed at the encoder. In this paper I present the convolution encoder and Viterbi decoder for constraint length 7 and bit rate 1/2.

  15. 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.

  16. Twitter and Physics Professional Development

    Science.gov (United States)

    Nadji, Taoufik

    2016-11-01

    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 teaching physics. The diversity within this group is something to both note and celebrate because it includes minorities, women, and physics educators the world over.

  17. Fake accounts detection on Twitter

    OpenAIRE

    Di Pietro, Roberto; Cresci, Stefano; Petrocchi, Marinella; Spognardi, Angelo; Tesconi, Maurizio

    2013-01-01

    Fake followers are those Twitter accounts created to inflate the number of followers of a target account. Fake followers are dangerous to the social platform and beyond, since they may alter concepts like popularity and influence in the Twittersphere-hence impacting on economy, politics, and Society. In this paper, we provide several contributions. First, we review the most relevant existing criteria (proposed by Academia and Media) for anomalous Twitter accounts detection, and later we asses...

  18. 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.

  19. FPGA Implementation of a Reconfigurable Viterbi Decoder for WiMAX Receiver

    CERN Document Server

    Shaker, Sherif Welsen; Shehata, Khaled Ali; 10.1109/ICM.2009.5418636

    2010-01-01

    Field Programmable Gate Array technology (FPGA) is a highly configurable option for implementing many sophisticated signal processing tasks in Software Defined Radios (SDRs). Those types of radios are realized using highly configurable hardware platforms. Convolutional codes are used in every robust digital communication system and Viterbi algorithm is employed in wireless communications to decode the convolutional codes. Such decoders are complex and dissipate large amount of power. In this paper, a low power-reconfigurable Viterbi decoder for WiMAX receiver is described using a VHDL code for FPGA implementation. The proposed design is implemented on Xilinx Virtex-II Pro, XC2vpx30 FPGA using the FPGA Advantage Pro package provided by Mentor Graphics and ISE 10.1 by Xilinx.

  20. A Fully Parallel VLSI-implementation of the Viterbi Decoding Algorithm

    DEFF Research Database (Denmark)

    Sparsø, Jens; Jørgensen, Henrik Nordtorp; Paaske, Erik

    1989-01-01

    In this paper we describe the implementation of a K = 7, R = 1/2 single-chip Viterbi decoder intended to operate at 10-20 Mbit/sec. We propose a general, regular and area efficient floor-plan that is also suitable for implementation of decoders for codes with different generator polynomials or di...... above 26 MHz under worst-case conditions (VDD = 4.75 V and TA = 70 °C)....

  1. Efficient multiple layer boundary detection in ground-penetrating radar data using an extended Viterbi algorithm

    Science.gov (United States)

    Smock, Brandon; Wilson, Joseph

    2012-06-01

    In landmine detection using vehicle-mounted ground-penetrating radar (GPR) systems, ground tracking has proven to be an eective pre-processing step. Identifying the ground can aid in the correction of distortions in downtrack radar data, which can result in the reduction of false alarms due to ground anomalies. However, the air-ground interface is not the only layer boundary detectable by GPR systems. Multiple layers can exist within the ground, and these layers are of particular importance because they give rise to anomalous signatures below the ground surface, where target signatures will typically reside. In this paper, an ecient method is proposed for performing multiple ground layer-identication in GPR data. The method is an extension of the dynamic programming-based Viterbi algorithm, nding not only the globally optimal path, which can be associated with the ground surface, but also locally optimal paths that can be associated with distinct layer boundaries within the ground. In contrast with the Viterbi algorithm, this extended method is uniquely suited to detecting not only multiple layers that span the entire antenna array, but also layers that span only a subset of the channels of the array. Furthermore, it is able to accomplish this while retaining the ecient nature of the original Viterbi scheme.

  2. Very Low Power Viterbi Decoder Employing Minimum Transition and Exchangeless Algorithms for Multimedia Mobile Communication

    Directory of Open Access Journals (Sweden)

    Prof. S. L. Haridas

    2011-12-01

    Full Text Available A very low power consumption viterbi decoder has been developed by low supply voltage and 0.15 µm CMOS process technology. Significant power reduction can be achieved by modifying the design and implementation of viterbi decoder using conventional techniques traceback and Register Exchange to Hybrid Register Exchange Method (HREM, Minimum Transition Register Exchange Method (MTREM, Minimum Transition Hybrid Register Exchange Method (MTHREM, Register exchangeless Method and Hybrid Register exchangeless Method. By employing the above said schemes such as, HREM, MTREM, MTHREM, Register exchangeless Method and Hybrid Register exchangeless Method; the viterbi decoder achieves a drastic reduction in power consumption below 100 µW at a supply voltage of 1.62 V when the data rate of 5 Mb/s and the bit error rate is less than 10-3. This excellent performance has been paved the way to employing the strong forward error correction and low power consumption portable terminals for personnel communication, mobile multimedia communication and digital audio broadcasting. Implementation insight and general conclusions can particularly benefit from this approach are given.

  3. Public Opinion Polling with Twitter

    CERN Document Server

    Cody, Emily M; Dodds, Peter Sheridan; Danforth, Christopher M

    2016-01-01

    Solicited public opinion surveys reach a limited subpopulation of willing participants and are expensive to conduct, leading to poor time resolution and a restricted pool of expert-chosen survey topics. In this study, we demonstrate that unsolicited public opinion polling through sentiment analysis applied to Twitter correlates well with a range of traditional measures, and has predictive power for issues of global importance. We also examine Twitter's potential to canvas topics seldom surveyed, including ideas, personal feelings, and perceptions of commercial enterprises. Two of our major observations are that appropriately filtered Twitter sentiment (1) predicts President Obama's job approval three months in advance, and (2) correlates well with surveyed consumer sentiment. To make possible a full examination of our work and to enable others' research, we make public over 10,000 data sets, each a seven-year series of daily word counts for tweets containing a frequently used search term.

  4. Comment se propagent les informations sur Twitter ?

    OpenAIRE

    Gabielkov, Maksym

    2016-01-01

    This thesis presents the measurement study of Online Social Networks focusing on Twitter. Twitter is one of the largest social networks using exclusively directed links among accounts. This makes the Twitter social graph much closer to the social graph supporting real life communications than, for instance, Facebook. Therefore, understanding the structure of the Twitter social graph and the way information propagates through it is interesting not only for computer scientists, but also for res...

  5. Implementing Twitter in a health sciences library.

    Science.gov (United States)

    Cuddy, Colleen; Graham, Jamie; Morton-Owens, Emily G

    2010-10-01

    The NYU Health Sciences Libraries created an account on Twitter, a microblogging service, as a new outreach tool marketed to students, faculty, and staff. The team used Twitter to promote resources, events, and news. Twitter is a part of a pipeline of information that also includes the library's Web site and Facebook. Although it is difficult to measure the effectiveness of a social networking tool, the overhead of using Twitter is so low that it merits consideration.

  6. 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…

  7. 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…

  8. Newspaper Twitter: Applied Drama and Microblogging

    Science.gov (United States)

    Wotzko, Rebecca

    2012-01-01

    This paper discusses the use of applied drama within the microblogging platform "Twitter" as a method to increase students' social media and news literacy. Online news sites are increasingly using "Twitter" as a source for eyewitness accounts of events or public opinion. "Twitter" offers users a simple way to publicly…

  9. Analyzing viewpoint diversity in twitter

    NARCIS (Netherlands)

    Bozdag, V.E.; Gao, Q.; Warnier, M.E.; Houben, G.J.P.M.

    2013-01-01

    Information diversity has a long tradition in human history. Recently there have been claims that diversity is diminishing in information available in social networks. On the other hand, some studies suggest that diversity is actually quite high in social networks such as Twitter. However these stud

  10. The Constitutive Power of Twitter

    DEFF Research Database (Denmark)

    Albu, Oana Brindusa; Etter, Michael Andreas

    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...

  11. Literatura en Twitter. A propósito del Twitter Fiction Festival / Literature in Twitter. About the Twitter Fiction Festival

    Directory of Open Access Journals (Sweden)

    Concepción Torres Begines

    2016-08-01

    Full Text Available Este artículo se propone establecer una serie de características referidas a la literatura en Twitter teniendo en cuenta la importancia que tiene el usuario en el proceso creativo de la obra. Para ello hemos realizado un análisis de las principales propuestas presentadas en el Twitter Fiction Festival, celebrado en línea a través de la plataforma y que ha contado con una importante acogida por parte del público, el cual representa una fuente de materiales esencial para este tipo de investigaciones. This article aims to establish a series of characteristics referred to the literary forms on Twitter, regarding the role played by the user in the creative process of the final work. For this purpose, we have made an analysis of the main proposals presented during the Twitter Fiction Festival, performed exclusively on line through the platform and that has been warmly welcome by the public, which represents an essential source for this kind of research.

  12. Methodological considerations in analyzing Twitter data.

    Science.gov (United States)

    Kim, Annice E; Hansen, Heather M; Murphy, Joe; Richards, Ashley K; Duke, Jennifer; Allen, Jane A

    2013-12-01

    Twitter is an online microblogging tool that disseminates more than 400 million messages per day, including vast amounts of health information. Twitter represents an important data source for the cancer prevention and control community. This paper introduces investigators in cancer research to the logistics of Twitter analysis. It explores methodological challenges in extracting and analyzing Twitter data, including characteristics and representativeness of data; data sources, access, and cost; sampling approaches; data management and cleaning; standardizing metrics; and analysis. We briefly describe the key issues and provide examples from the literature and our studies using Twitter data to understand public health issues. For investigators considering Twitter-based cancer research, we recommend assessing whether research questions can be answered appropriately using Twitter, choosing search terms carefully to optimize precision and recall, using respected vendors that can provide access to the full Twitter data stream if possible, standardizing metrics to account for growth in the Twitter population over time, considering crowdsourcing for analysis of Twitter content, and documenting and publishing all methodological decisions to further the evidence base.

  13. Un calcul de Viterbi pour un Modèle de Markov Caché Contraint

    DEFF Research Database (Denmark)

    Petit, Matthieu; Christiansen, Henning

    2009-01-01

    of these hidden states in regards to an observed data sequence. Constrained HMM extends this framework by adding some constraints on a HMM process run. In this paper, we propose to introduce constrained HMMs into Constraint Programming. We propose new version of the Viterbi algorithm for this new framework....... Several constraint techniques are used to reduce the search of the most probable value of hidden states of a constrained HMM. An implementation based on PRISM, a logic programming language for statistical modeling, is presented....

  14. Ballistic missile precession frequency extraction based on the Viterbi & Kalman algorithm

    Science.gov (United States)

    Wu, Longlong; Xie, Yongjie; Xu, Daping; Ren, Li

    2015-12-01

    Radar Micro-Doppler signatures are of great potential for target detection, classification and recognition. In the mid-course phase, warheads flying outside the atmosphere are usually accompanied by precession. Precession may induce additional frequency modulations on the returned radar signal, which can be regarded as a unique signature and provide additional information that is complementary to existing target recognition methods. The main purpose of this paper is to establish a more actual precession model of conical ballistic missile warhead and extract the precession parameters by utilizing Viterbi & Kalman algorithm, which improving the precession frequency estimation accuracy evidently , especially in low SNR.

  15. Syndromic classification of Twitter messages

    CERN Document Server

    Collier, Nigel

    2011-01-01

    Recent studies have shown strong correlation between social networking data and national influenza rates. We expanded upon this success to develop an automated text mining system that classifies Twitter messages in real time into six syndromic categories based on key terms from a public health ontology. 10-fold cross validation tests were used to compare Naive Bayes (NB) and Support Vector Machine (SVM) models on a corpus of 7431 Twitter messages. SVM performed better than NB on 4 out of 6 syndromes. The best performing classifiers showed moderately strong F1 scores: respiratory = 86.2 (NB); gastrointestinal = 85.4 (SVM polynomial kernel degree 2); neurological = 88.6 (SVM polynomial kernel degree 1); rash = 86.0 (SVM polynomial kernel degree 1); constitutional = 89.3 (SVM polynomial kernel degree 1); hemorrhagic = 89.9 (NB). The resulting classifiers were deployed together with an EARS C2 aberration detection algorithm in an experimental online system.

  16. Analyzing viewpoint diversity in twitter

    OpenAIRE

    2013-01-01

    Information diversity has a long tradition in human history. Recently there have been claims that diversity is diminishing in information available in social networks. On the other hand, some studies suggest that diversity is actually quite high in social networks such as Twitter. However these studies only focus on the concept of source diversity and they only focus on American users. In this paper we analyze different dimensions of diversity. We also provide an experimental design in which ...

  17. 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....

  18. Twitter's tweet method modelling and simulation

    Science.gov (United States)

    Sarlis, Apostolos S.; Sakas, Damianos P.; Vlachos, D. S.

    2015-02-01

    This paper seeks to purpose the concept of Twitter marketing methods. The tools that Twitter provides are modelled and simulated using iThink in the context of a Twitter media-marketing agency. The paper has leveraged the system's dynamic paradigm to conduct Facebook marketing tools and methods modelling, using iThink™ system to implement them. It uses the design science research methodology for the proof of concept of the models and modelling processes. The following models have been developed for a twitter marketing agent/company and tested in real circumstances and with real numbers. These models were finalized through a number of revisions and iterators of the design, develop, simulate, test and evaluate. It also addresses these methods that suit most organized promotion through targeting, to the Twitter social media service. The validity and usefulness of these Twitter marketing methods models for the day-to-day decision making are authenticated by the management of the company organization. It implements system dynamics concepts of Twitter marketing methods modelling and produce models of various Twitter marketing situations. The Tweet method that Twitter provides can be adjusted, depending on the situation, in order to maximize the profit of the company/agent.

  19. VLSI Architecture for Configurable and Low-Complexity Design of Hard-Decision Viterbi Decoding Algorithm

    Directory of Open Access Journals (Sweden)

    Rachmad Vidya Wicaksana Putra

    2016-06-01

    Full Text Available Convolutional encoding and data decoding are fundamental processes in convolutional error correction. One of the most popular error correction methods in decoding is the Viterbi algorithm. It is extensively implemented in many digital communication applications. Its VLSI design challenges are about area, speed, power, complexity and configurability. In this research, we specifically propose a VLSI architecture for a configurable and low-complexity design of a hard-decision Viterbi decoding algorithm. The configurable and low-complexity design is achieved by designing a generic VLSI architecture, optimizing each processing element (PE at the logical operation level and designing a conditional adapter. The proposed design can be configured for any predefined number of trace-backs, only by changing the trace-back parameter value. Its computational process only needs N + 2 clock cycles latency, with N is the number of trace-backs. Its configurability function has been proven for N = 8, N = 16, N = 32 and N = 64. Furthermore, the proposed design was synthesized and evaluated in Xilinx and Altera FPGA target boards for area consumption and speed performance.

  20. Implementasi Convolutional Code dan Viterbi Decode pada DSK TMS320C6416T

    Directory of Open Access Journals (Sweden)

    Erika Kusumasari Rosita

    2013-03-01

    Full Text Available Dalam sistem komunikasi digital modern, dimana data ditransmisikan dalam bentuk bit-bit biner, dibutuhkan sistem yang tahan terhadap noise yang terdapat pada kanal transmisi, hal ini dibutuhkan agar data yang ditransmisikan  tersebut dapat diterima dengan benar. Kesalahan dalam pengiriman atau penerimaan data merupakan permasalahan yang mendasar yang memberikan dampak yang sangat signifikan pada sistem komunikasi. Untuk mengatasinya, maka diperlukan suatu metode pengkodean kanal yang mampu  mendeteksi kesalahan dan mengkoreksi kesalahan. Pada tugas akhir ini konvolusi code diimplementasikan pada sebuah DSP card seri TMS320C6416T untuk mengatasi masalah sistem komunikasi tersebut. Kode konvolusi  merupakan teknik Error Control Coding  untuk mendeteksi dan mengkoreksi error pada informasi akibat pengaruh noise. Analisis meliputi nilai BER yang diperoleh dengan mengubah parameter Eb/No pada blok AWGN,  dan uji coba rangkaian menggunakan DSK TMS320C6416T. Hasil penelitian menunjukkan sistem yang menggunakan konvolusi code dan viterbi decode dapat menurunkan probabilitas error dibandingkan dengan sistem model yang tidak menggunakan konvolusi code dan viterbi decode.

  1. 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

  2. The Twitter-thing (exhibition)

    DEFF Research Database (Denmark)

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

    is created between that hashtag and the parliamentarian. The tool then generates a network visualization showing how parliamentarians group around topics and issues. The resulting ‘issue publics’ – or things in the sense of a collective aroused by an issue – are also ‘data publics’ because...... 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...

  3. Learning Spanish dialects through Twitter

    CERN Document Server

    Gonçalves, Bruno

    2015-01-01

    We map the large-scale variation of the Spanish language by employing a corpus based on geographically tagged Twitter messages. Lexical dialects are extracted from an analysis of variants of tens of concepts. The resulting maps show linguistic variations on an unprecedented scale across the globe. We discuss the properties of the main dialects within a machine learning approach and find that varieties spoken in urban areas have an international character in contrast to country areas where dialects show a more regional uniformity.

  4. All a Twitter: Want to Try Microblogging?

    Science.gov (United States)

    Kroski, Ellyssa

    2008-01-01

    The author describes how she was able to broadcast her whereabouts, her moods, and her desire to connect with friends for dinner to over 150 conference attendees simultaneously, using her mobile phone through a service called Twitter. Twitter enables social butterflies like the author to instantly publish brief messages to a network of contacts.…

  5. Social media networking: Facebook and Twitter.

    Science.gov (United States)

    Schneider, Andrew; Jackson, Rem; Baum, Neil

    2010-01-01

    The new wave of marketing and practice promotion will include social media networking. This article will discuss Facebook and Twitter. After reading this article you, will have an understanding of these two important aspects of social media and how you might use Facebook and Twitter in your practice to enhance your communication with your existing patients and attract new patients.

  6. 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.

  7. Twitter Fiction: A New Creative Literary Landscape

    Directory of Open Access Journals (Sweden)

    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

  8. 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 individuals. In…

  9. 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…

  10. Astrophysicists' conversational connections on Twitter.

    Science.gov (United States)

    Holmberg, Kim; Bowman, Timothy D; Haustein, Stefanie; Peters, Isabella

    2014-01-01

    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.

  11. 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.

  12. A Novel High-Speed Configurable Viterbi Decoder for Broadband Access

    Directory of Open Access Journals (Sweden)

    Benaissa Mohammed

    2003-01-01

    Full Text Available A novel design and implementation of an online reconfigurable Viterbi decoder is proposed, based on an area-efficient add-compare-select (ACS architecture, in which the constraint length and traceback depth can be dynamically reconfigured. A design-space exploration to trade off decoding capability, area, and decoding speed has been performed, from which the maximum level of pipelining against the number of ACS units to be used has been determined while maintaining an in-place path metric updating. An example design with constraint lengths from 7 to 10 and a 5-level ACS pipelining has been successfully implemented on a Xilinx Virtex FPGA device. FPGA implementation results, in terms of decoding speed, resource usage, and BER, have been obtained using a tailored testbench. These confirmed the functionality and the expected higher speeds and lower resources.

  13. 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…

  14. Implementation of Sensor Twitter Feed Web Service Server and Client

    Science.gov (United States)

    2016-12-01

    reasonPhrase> <responseText> <tweet> Hello Twitter 3 from server project</tweet> <tweet> Hello Twitter 2 from server project</tweet> <tweet> Hello ...Twitter 1 from server project</tweet> <tweet> Hello Twitter from server project</tweet> </responseText> <reasonCode>200</reasonCode> </response> b

  15. Data Mining Twitter for Science Applications

    Science.gov (United States)

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

    2016-12-01

    The Twitter social microblogging database, which recently passed its tenth anniversary, is potentially a rich source of real-time and historical global information for science applications (beyond the by-now fairly familiar use of Twitter for natural hazards monitoring). Over the past several years, we have been exploring the feasibility of extracting from the Twitter data stream useful information for application to NASA precipitation research, with both "passive" and "active" participation by the twitterers. In the passive case, we have experimented with listening to the Twitter stream in real time for "precipitation" and related tweets (in different languages), applying basic filters for exact phrases, extracting location information, and mapping the resulting tweet distributions. In the active case, we have conducted preliminary experiments to evaluate different methods of engaging with potential participants. 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. 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. Mining the Twitter stream could augment these validation programs and, potentially, help tune existing algorithms. Though exploratory, our efforts thus far could significantly extend the application realm of Twitter, as a platform for citizen science, beyond natural hazards monitoring to science applications.

  16. Twitter sentiment around the Earnings Announcement events.

    Science.gov (United States)

    Gabrovšek, Peter; Aleksovski, Darko; Mozetič, Igor; Grčar, Miha

    2017-01-01

    We investigate the relationship between social media, Twitter in particular, and stock market. We provide an in-depth analysis of the Twitter volume and sentiment about the 30 companies in the Dow Jones Industrial Average index, over a period of three years. We focus on Earnings Announcements and show that there is a considerable difference with respect to when the announcements are made: before the market opens or after the market closes. The two different timings of the Earnings Announcements were already investigated in the financial literature, but not yet in the social media. We analyze the differences in terms of the Twitter volumes, cumulative abnormal returns, trade returns, and earnings surprises. We report mixed results. On the one hand, we show that the Twitter sentiment (the collective opinion of the users) on the day of the announcement very well reflects the stock moves on the same day. We demonstrate this by applying the event study methodology, where the polarity of the Earnings Announcements is computed from the Twitter sentiment. Cumulative abnormal returns are high (2-4%) and statistically significant. On the other hand, we find only weak predictive power of the Twitter sentiment one day in advance. It turns out that it is important how to account for the announcements made after the market closes. These after-hours announcements draw high Twitter activity immediately, but volume and price changes in trading are observed only on the next day. On the day before the announcements, the Twitter volume is low, and the sentiment has very weak predictive power. A useful lesson learned is the importance of the proper alignment between the announcements, trading and Twitter data.

  17. Twitter sentiment around the Earnings Announcement events

    Science.gov (United States)

    Grčar, Miha

    2017-01-01

    We investigate the relationship between social media, Twitter in particular, and stock market. We provide an in-depth analysis of the Twitter volume and sentiment about the 30 companies in the Dow Jones Industrial Average index, over a period of three years. We focus on Earnings Announcements and show that there is a considerable difference with respect to when the announcements are made: before the market opens or after the market closes. The two different timings of the Earnings Announcements were already investigated in the financial literature, but not yet in the social media. We analyze the differences in terms of the Twitter volumes, cumulative abnormal returns, trade returns, and earnings surprises. We report mixed results. On the one hand, we show that the Twitter sentiment (the collective opinion of the users) on the day of the announcement very well reflects the stock moves on the same day. We demonstrate this by applying the event study methodology, where the polarity of the Earnings Announcements is computed from the Twitter sentiment. Cumulative abnormal returns are high (2–4%) and statistically significant. On the other hand, we find only weak predictive power of the Twitter sentiment one day in advance. It turns out that it is important how to account for the announcements made after the market closes. These after-hours announcements draw high Twitter activity immediately, but volume and price changes in trading are observed only on the next day. On the day before the announcements, the Twitter volume is low, and the sentiment has very weak predictive power. A useful lesson learned is the importance of the proper alignment between the announcements, trading and Twitter data. PMID:28235103

  18. THE JOURNALISTIC UTTERANCE ON TWITTER

    Directory of Open Access Journals (Sweden)

    Mabel Oliveira Teixeira

    2012-06-01

    Full Text Available This article aims to discuss the impact of the characteristics of the Twitter platform on the application of standard journalistic technique (TRAQUINA, 2008 during the creation and production of news releases as tweets and, at the same time, it seeks to identify their specifications regarding traditional journalistic utterances. Through the analysis of 134 tweets collected from newspaper profiles of Folha de S. Paulo, Zero Hora and Diário Popular, we have obtained indications that led us to confirm our central assumption. In other words, the hierarchical pattern and purpose that guide the creation of standard news, and therefore, the special language that characterizes traditional journalism, begin to give way to models that are more horizontal and interactive, that redesign the standard technique (based on the model of the Inverted Pyramid and thus, modify journalistic writing - interfering in its discursive effects (GOMES, 2000.

  19. Understanding Human Mobility from Twitter

    CERN Document Server

    Jurdak, Raja; Liu, Jiajun; AbouJaoude, Maurice; Cameron, Mark; Newth, David

    2014-01-01

    We analyse a large dataset with more than six million get-tagged tweets posted in Australia, and demonstrate that Twitter can be a reliable source for studying human mobility patterns. We find that crucial information of human mobility, such as its multi-scale and multi-modal nature, returning tendency and regularity, as well as the heterogeneous moving scale among individuals, can be extracted from geo-tagged tweets using various statistical indicators. Our analysis of the spatial-temporal patterns for people with different moving scales shows that long-distance travellers have highly concentrated urban movements. Our study not only deepens overall understanding of human mobility but also opens new avenues for tracking human mobility.

  20. Facebook and Twitter For Seniors For Dummies

    CERN Document Server

    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

  1. Memory Unit Optimization for Path Metric Values in Viterbi Decoder ACS Unit%Viterbi Decoder ACS单元中路径度量值存储空间的优化

    Institute of Scientific and Technical Information of China (English)

    郭正伟; 赵勇

    2007-01-01

    ACS单元的设计及路径度量(PM)值的存储是Viterbi Decoder硬件实现的重要部分之一.介绍了一种码率为1/2的硬判决Viterbi Decoder的ACS部分的硬件实现方法.采用了一种全新的设计与存储方式,即原位运算旋转地址的方式,极大地节省了在ACS运算过程中用以存储路径度量值的RAM空间,大量的实验证明,设计的译码器在资源消耗上有较大优势.

  2. Twitter, Millennials, and Nursing Education Research.

    Science.gov (United States)

    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.

  3. Sentiment Knowledge Discovery in Twitter Streaming Data

    Science.gov (United States)

    Bifet, Albert; Frank, Eibe

    Micro-blogs are a challenging new source of information for data mining techniques. Twitter is a micro-blogging service built to discover what is happening at any moment in time, anywhere in the world. Twitter messages are short, and generated constantly, and well suited for knowledge discovery using data stream mining. We briefly discuss the challenges that Twitter data streams pose, focusing on classification problems, and then consider these streams for opinion mining and sentiment analysis. To deal with streaming unbalanced classes, we propose a sliding window Kappa statistic for evaluation in time-changing data streams. Using this statistic we perform a study on Twitter data using learning algorithms for data streams.

  4. Minimum decoding trellis length and truncation depth of wrap-around Viterbi algorithm for TBCC in mobile WiMAX

    OpenAIRE

    Liu Yu-Sun; Tsai Yao-Yu

    2011-01-01

    Abstract The performance of the wrap-around Viterbi decoding algorithm with finite truncation depth and fixed decoding trellis length is investigated for tail-biting convolutional codes in the mobile WiMAX standard. Upper bounds on the error probabilities induced by finite truncation depth and the uncertainty of the initial state are derived for the AWGN channel. The truncation depth and the decoding trellis length that yield negligible performance loss are obtained for all transmission rates...

  5. Identification of loyal opinion leaders on Twitter

    Directory of Open Access Journals (Sweden)

    Manuela López

    2016-11-01

    Full Text Available Twitter has been chosen by lot of companies as social network site to create brand communities. Although consumers can write opinions about the brand in many websites, the development of brand communities enhances this word of mouth and allows consumers to spread the word about the brand in the brand community context. Some opinion leaders could be part of the brand community. Thus, companies can enhance positive word of mouth toward the brand by identifying these opinion leaders. However, the company needs to know whether the opinion leader is loyal to the brand in order to avoid negative word of mouth. Twitter offers information about community members that can be useful to identify these opinion leaders. This study analyzes both, the answers to an online questionnaire and the Twitter profile of 265 followers of three camera brands on Twitter. The results show that analyzing the information written by members in their Twitter profile, how many followers they have and how many people or brands they follow is key to identify loyal opinion leaders in brand communities developed in Twitter. Loyal opinion leaders have many followers; however, they do not follow many accounts in this social network site.

  6. Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory

    Directory of Open Access Journals (Sweden)

    Winters-Hilt Stephen

    2008-04-01

    Full Text Available Abstract Background The Baum-Welch learning procedure for Hidden Markov Models (HMMs provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clustering. A linear memory procedure recently proposed by Miklós, I. and Meyer, I.M. describes a memory sparse version of the Baum-Welch algorithm with modifications to the original probabilistic table topologies to make memory use independent of sequence length (and linearly dependent on state number. The original description of the technique has some errors that we amend. We then compare the corrected implementation on a variety of data sets with conventional and checkpointing implementations. Results We provide a correct recurrence relation for the emission parameter estimate and extend it to parameter estimates of the Normal distribution. To accelerate estimation of the prior state probabilities, and decrease memory use, we reverse the originally proposed forward sweep. We describe different scaling strategies necessary in all real implementations of the algorithm to prevent underflow. In this paper we also describe our approach to a linear memory implementation of the Viterbi decoding algorithm (with linearity in the sequence length, while memory use is approximately independent of state number. We demonstrate the use of the linear memory implementation on an extended Duration Hidden Markov Model (DHMM and on an HMM with a spike detection topology. Comparing the various implementations of the Baum-Welch procedure we find that the checkpointing algorithm produces the best overall tradeoff between memory use and speed. In cases where sequence length is very large (for Baum-Welch, or state number is very large (for Viterbi, the linear memory methods outlined may offer some utility. Conclusion Our performance-optimized Java implementations of Baum-Welch algorithm are available at http://logos.cs.uno.edu/~achurban. The described method and implementations will aid

  7. A Pitch Detection Algorithm for Continuous Speech Signals Using Viterbi Traceback with Temporal Forgetting

    Directory of Open Access Journals (Sweden)

    J. Bartošek

    2011-01-01

    Full Text Available This paper presents a pitch-detection algorithm (PDA for application to signals containing continuous speech. The core of the method is based on merged normalized forward-backward correlation (MNFBC working in the time domain with the ability to make basic voicing decisions. In addition, the Viterbi traceback procedure is used for post-processing the MNFBC output considering the three best fundamental frequency (F0 candidates in each step. This should make the final pitch contour smoother, and should also prevent octave errors. In transition probabilities computation between F0 candidates, two major improvements were made over existing post-processing methods. Firstly, we compare pitch distance in musical cent units. Secondly, temporal forgetting is applied in order to avoid penalizing pitch jumps after prosodic pauses of one speaker or changes in pitch connected with turn-taking in dialogs. Results computed on a pitchreference database definitely show the benefit of the first improvement, but they have not yet proved any benefits of temporal modification. We assume this only happened due to the nature of the reference corpus, which had a small amount of suprasegmental content.

  8. A MAP-based image interpolation method via Viterbi decoding of Markov chains of interpolation functions.

    Science.gov (United States)

    Vedadi, Farhang; Shirani, Shahram

    2014-01-01

    A new method of image resolution up-conversion (image interpolation) based on maximum a posteriori sequence estimation is proposed. Instead of making a hard decision about the value of each missing pixel, we estimate the missing pixels in groups. At each missing pixel of the high resolution (HR) image, we consider an ensemble of candidate interpolation methods (interpolation functions). The interpolation functions are interpreted as states of a Markov model. In other words, the proposed method undergoes state transitions from one missing pixel position to the next. Accordingly, the interpolation problem is translated to the problem of estimating the optimal sequence of interpolation functions corresponding to the sequence of missing HR pixel positions. We derive a parameter-free probabilistic model for this to-be-estimated sequence of interpolation functions. Then, we solve the estimation problem using a trellis representation and the Viterbi algorithm. Using directional interpolation functions and sequence estimation techniques, we classify the new algorithm as an adaptive directional interpolation using soft-decision estimation techniques. Experimental results show that the proposed algorithm yields images with higher or comparable peak signal-to-noise ratios compared with some benchmark interpolation methods in the literature while being efficient in terms of implementation and complexity considerations.

  9. Diabetes topics associated with engagement on Twitter.

    Science.gov (United States)

    Harris, Jenine K; Mart, Adelina; Moreland-Russell, Sarah; Caburnay, Charlene A

    2015-05-07

    Social media are widely used by the general public and by public health and health care professionals. Emerging evidence suggests engagement with public health information on social media may influence health behavior. However, the volume of data accumulating daily on Twitter and other social media is a challenge for researchers with limited resources to further examine how social media influence health. To address this challenge, we used crowdsourcing to facilitate the examination of topics associated with engagement with diabetes information on Twitter. We took a random sample of 100 tweets that included the hashtag "#diabetes" from each day during a constructed week in May and June 2014. Crowdsourcing through Amazon's Mechanical Turk platform was used to classify tweets into 9 topic categories and their senders into 3 Twitter user categories. Descriptive statistics and Tweedie regression were used to identify tweet and Twitter user characteristics associated with 2 measures of engagement, "favoriting" and "retweeting." Classification was reliable for tweet topics and Twitter user type. The most common tweet topics were medical and nonmedical resources for diabetes. Tweets that included information about diabetes-related health problems were positively and significantly associated with engagement. Tweets about diabetes prevalence, nonmedical resources for diabetes, and jokes or sarcasm about diabetes were significantly negatively associated with engagement. Crowdsourcing is a reliable, quick, and economical option for classifying tweets. Public health practitioners aiming to engage constituents around diabetes may want to focus on topics positively associated with engagement.

  10. Managing Participation through Modal Affordances on Twitter

    Directory of Open Access Journals (Sweden)

    Fawn Draucker

    2015-11-01

    Full Text Available On Twitter, retweets function as a method of reporting speech and spreading the talk of other users. We propose that changes to the interface and mechanisms of Twitter have led to the coexistence of two complementary forms of retweeting. The Preserving Retweet, enabled by the Twitter interface, directly reports speech and retains attribution to the original author, but it does not allow for any modification or indication of stance. The Adapting Retweet, a user-created norm studied by boyd et al. (2010, allows users the option to add comments to pre-existing tweets but resulting in confusion in attribution. Using an updated form of Goffman’s participation framework, we analyze the use of these two types of retweets and their impact on attribution.

  11. 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.

  12. A Twitter Education: Why Psychiatrists Should Tweet.

    Science.gov (United States)

    Peters, Matthew E; Uible, Elisabeth; Chisolm, Margaret S

    2015-12-01

    Social media tools such as blogs, microblogs, social networking sites, podcasts, and video-sharing sites are now ubiquitous. These tools enable instantaneous interactions with a global community of individuals, including medical professionals, learners, and patients. An understanding of social media tools and how they can be used by psychiatrists is increasingly important. This review defines some relevant social media terms and addresses challenges specific to the use of social media in psychiatry. Focused primarily on Twitter, one of the most commonly used social media tools, the review describes how Twitter is being used in non-psychiatric medical fields and highlights four current and/or potential uses of Twitter in psychiatry: (1) patient care and advocacy, (2) lifelong learning, (3) research data collection and collaboration, and (4) scholarly recognition and impact.

  13. 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

  14. Crowdsourcing and annotating NER for Twitter #drift

    DEFF Research Database (Denmark)

    Fromreide, Hege; Hovy, Dirk; Søgaard, Anders

    2014-01-01

    We present two new NER datasets for Twitter; a manually annotated set of 1,467 tweets (kappa=0.942) and a set of 2,975 expert-corrected, crowdsourced NER annotated tweets from the dataset described in Finin et al. (2010). In our experiments with these datasets, we observe two important points: (a......) language drift on Twitter is significant, and while off-the-shelf systems have been reported to perform well on in-sample data, they often perform poorly on new samples of tweets, (b) state-of-the-art performance across various datasets can beobtained from crowdsourced annotations, making it more feasible...

  15. Automatic Sarcasm Detection in Twitter Messages

    OpenAIRE

    Ræder, Johan Georg Cyrus Mazaher

    2016-01-01

    In the past decade, social media like Twitter have become popular and a part of everyday life for many people. Opinion mining of the thoughts and opinions they share can be of interest to, e.g., companies and organizations. The sentiment of a text can be drastically altered when figurative language such as sarcasm is used. This thesis presents a system for automatic sarcasm detection in Twitter messages. To get a better understanding of the field, state-of-the-art systems fo...

  16. Modelling Political Disaffection from Twitter Data

    DEFF Research Database (Denmark)

    Monti, Corrado; Rozza, Alessandro; Zappella, Giovanni

    2013-01-01

    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...... in the timeseries are often generated by external political events reported on the main newspapers....

  17. Evaluating the Impact of Cooperative Extension Outreach via Twitter

    Science.gov (United States)

    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,…

  18. 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…

  19. Twitter Chats: Connect, Foster, and Engage Internal Extension Networks

    Science.gov (United States)

    Seger, Jamie; Hill, Paul; Stafne, Eric; Swadley, Emy

    2017-01-01

    The eXtension Educational Technology Learning Network (EdTechLN) has found Twitter to be an effective form of informal communication for routinely engaging network members. Twitter chats provide Extension professionals an opportunity to reach and engage one other. As the EdTechLN's experimentation with Twitter chats has demonstrated, the use of…

  20. 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…

  1. High speed Radix-4 soft-decision Viterbi decoder for MB-OFDM UWB system

    Science.gov (United States)

    Liang, Guixuan; Portilla, Jorge; Riesgo, Teresa

    2013-05-01

    In this paper, a 64 state soft decision Viterbi Decoder (VD) system by using a high speed radix-4 Add Compare Select (ACS) architecture is presented. The proposed VD system can support different data rate (from 53.5 Mbps to 480 Mbps) for Multiband Orthogonal Frequency-division Multiplexing (MB-OFDM) Ultra-Wideband (UWB) system when implemented onto the FPGA board. The proposed VD employs efficient two steps Radix 4 architecture, which is responsible of calculating two steps of 64 state Radix 4 Branch Metrics (BM) within one clock cycle. The branch metrics are calculated using a uniform distance measurement algorithm, which equals to the symbol itself when compared to logic-0 and equal to its one's complement when compared to logic-1. By employing the modified Modulo Normalization algorithm, it is possible to use only a 10- bit memory block to restore each of the 64 state metrics, with the advantage of avoiding errors caused by overflow during the updating process for state metrics, and simplifying the comparator circuit of the ACS unit. The Two Pointer Even Algorithm, which is considered to be very simple and more hardware-efficient than the register exchange algorithm, is used for tracing back the survivor sequence and output the decoded data stream. 3-bit soft decision input sequences are used for gathering the experimental results. The sampling frequency of the MBOFDM UWB system is 528 MHz, by using the proposed two steps Radix 4 VD architecture we can process 4 input signals in parallel within one clock cycle, therefore only 132 MHz operating frequency is needed for the proposed VD system. This will dramatically reduce the dynamic power consumption for hardware implementation. Final results of the implementation show that the proposed VD architecture can support a maximum working frequency of 152.5 MHz on Xilinx XUPV5-LX110T Evaluation Platform.

  2. Very low power consumption Viterbi decoder LSIC employing the SST (Scarce State Transition) scheme for multimedia mobile communications

    Science.gov (United States)

    Seki, K.; Kubota, S.; Mizoguchi, M.; Kato, S.

    1994-04-01

    A very low power consumption Viterbi decoder LSIC has been developed by using a low supply voltage 0.8 micron CMOS master slice process technology. By employing the scarce state transition (SST) scheme, this LSIC achieves a drastic reduction in power consumption below 600 mu W at a supply voltage of IV when the data rate is 1152 kbit/s and the bit error rate is less than 10(exp - 3). This excellent performance has paved the way to employing the strong forward error correction and low power consumption portable terminals for personal communications, mobile multimedia communications, and digital and audio broadcasting.

  3. Career Development and Emerging Managerial Career Patterns.

    Science.gov (United States)

    Grzeda, Maurice

    1999-01-01

    Career-motivation theory provides a new framework for managerial careers in the context of contemporary career patterns. The framework includes the concepts of career resilience, career insight, and career identity. (SK)

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

    Science.gov (United States)

    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.

  5. Twitter hashtags: joint translation and clustering

    NARCIS (Netherlands)

    Carter, S.; Tsagkias, M.; Weerkamp, W.

    2011-01-01

    The popularity of microblogging platforms, such as Twitter, renders them valuable real-time information resources for tracking various aspects of worldwide events, e.g., earthquakes, political elections, etc. Such events are usually characterized in microblog posts via the use of hashtags (#). As mi

  6. Automatically identifying periodic social events from Twitter

    NARCIS (Netherlands)

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

    2015-01-01

    Many events referred to on Twitter are of a periodic nature, characterized by roughly constant time intervals in between occurrences. Examples are annual music festivals, weekly television programs, and the full moon cycle. We propose a system that can automatically identify periodic events from Twi

  7. Activity Prediction: A Twitter-based Exploration

    NARCIS (Netherlands)

    Weerkamp, W.; de Rijke, M.

    2012-01-01

    Social media platforms allow users to share their messages with everyone else. In microblogs, e.g., Twitter, people mostly report on what they did, they talk about current activities, and mention things they plan to do in the near future. In this paper, we propose the task of activity prediction, th

  8. Twitter Usage of Universities in Turkey

    Science.gov (United States)

    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…

  9. 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…

  10. Automatically identifying periodic social events from Twitter

    NARCIS (Netherlands)

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

    2015-01-01

    Many events referred to on Twitter are of a periodic nature, characterized by roughly constant time intervals in between occurrences. Examples are annual music festivals, weekly television programs, and the full moon cycle. We propose a system that can automatically identify periodic events from

  11. Conversation practices and network structure in Twitter

    DEFF Research Database (Denmark)

    Rossi, Luca; Magnani, Matteo

    2012-01-01

    the participation in the same hashtag based conversation change the follower list of the participants? Is it possible to point out specific social behaviors that would produce a major gain of followers? Our conclusions are based on real data concerning the popular TV show Xfactor, that largely used Twitter...

  12. Retweeting Activity on Twitter: Signs of Deception

    Science.gov (United States)

    2015-05-22

    for computing the like- lihood of an unknown user being a human, bot or cyborg . [16] shows the strong classification and prediction performance of...ACM (2013) 2. Chu, Z., et al.: Who is Tweeting on Twitter: Human, Bot, or Cyborg ? ACSAC, 21–30 (2010) 3. Derrida, B., et al.: Statistical Properties

  13. Career writing

    NARCIS (Netherlands)

    dr. Frans Meijers; Reinekke Lengelle

    2015-01-01

    Career Writing is a narrative approach to qualitative career assessment whereby client (or student) groups use creative, reflective, and expressive forms of writing to foster an internal dialogue about career. It is intended to help individuals construct a career identity by uncovering life themes,

  14. 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).

  15. Public Response to Obamacare on Twitter

    Science.gov (United States)

    Zheng, Kai; Liu, Yang; Levy, Helen

    2017-01-01

    Background 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. Objective 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. Methods 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. Results 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. Conclusions 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

  16. 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.

  17. Career adaptability and career entrenchment

    NARCIS (Netherlands)

    Zacher, Hannes; Ambiel, Rodolfo A.M.; Noronha, Ana Paula Porto

    2015-01-01

    Career adaptability constitutes a resource that can help employees to effectively manage career changes and challenges. The goal of this study was to investigate the relationship between the two higher-order constructs of career adaptability and career entrenchment (i.e., the perceived inability and

  18. An Asynchronous Low Power and High Performance VLSI Architecture for Viterbi Decoder Implemented with Quasi Delay Insensitive Templates.

    Science.gov (United States)

    Devi, T Kalavathi; Palaniappan, Sakthivel

    2015-01-01

    Convolutional codes are comprehensively used as Forward Error Correction (FEC) codes in digital communication systems. For decoding of convolutional codes at the receiver end, Viterbi decoder is often used to have high priority. This decoder meets the demand of high speed and low power. At present, the design of a competent system in Very Large Scale Integration (VLSI) technology requires these VLSI parameters to be finely defined. The proposed asynchronous method focuses on reducing the power consumption of Viterbi decoder for various constraint lengths using asynchronous modules. The asynchronous designs are based on commonly used Quasi Delay Insensitive (QDI) templates, namely, Precharge Half Buffer (PCHB) and Weak Conditioned Half Buffer (WCHB). The functionality of the proposed asynchronous design is simulated and verified using Tanner Spice (TSPICE) in 0.25 µm, 65 nm, and 180 nm technologies of Taiwan Semiconductor Manufacture Company (TSMC). The simulation result illustrates that the asynchronous design techniques have 25.21% of power reduction compared to synchronous design and work at a speed of 475 MHz.

  19. Reduced complexity of multi-track joint 2-D Viterbi detectors for bit-patterned media recording channel

    Science.gov (United States)

    Myint, L. M. M.; Warisarn, C.

    2017-05-01

    Two-dimensional (2-D) interference is one of the prominent challenges in ultra-high density recording system such as bit patterned media recording (BPMR). The multi-track joint 2-D detection technique with the help of the array-head reading can tackle this problem effectively by jointly processing the multiple readback signals from the adjacent tracks. Moreover, it can robustly alleviate the impairments due to track mis-registration (TMR) and media noise. However, the computational complexity of such detectors is normally too high and hard to implement in a reality, even for a few multiple tracks. Therefore, in this paper, we mainly focus on reducing the complexity of multi-track joint 2-D Viterbi detector without paying a large penalty in terms of the performance. We propose a simplified multi-track joint 2-D Viterbi detector with a manageable complexity level for the BPMR's multi-track multi-head (MTMH) system. In the proposed method, the complexity of detector's trellis is reduced with the help of the joint-track equalization method which employs 1-D equalizers and 2-D generalized partial response (GPR) target. Moreover, we also examine the performance of a full-fledged multi-track joint 2-D detector and the conventional 2-D detection. The results show that the simplified detector can perform close to the full-fledge detector, especially when the system faces high media noise, with the significant low complexity.

  20. Implementation of a Tour Guide Robot System Using RFID Technology and Viterbi Algorithm-Based HMM for Speech Recognition

    Directory of Open Access Journals (Sweden)

    Neng-Sheng Pai

    2014-01-01

    Full Text Available This paper applied speech recognition and RFID technologies to develop an omni-directional mobile robot into a robot with voice control and guide introduction functions. For speech recognition, the speech signals were captured by short-time processing. The speaker first recorded the isolated words for the robot to create speech database of specific speakers. After the speech pre-processing of this speech database, the feature parameters of cepstrum and delta-cepstrum were obtained using linear predictive coefficient (LPC. Then, the Hidden Markov Model (HMM was used for model training of the speech database, and the Viterbi algorithm was used to find an optimal state sequence as the reference sample for speech recognition. The trained reference model was put into the industrial computer on the robot platform, and the user entered the isolated words to be tested. After processing by the same reference model and comparing with previous reference model, the path of the maximum total probability in various models found using the Viterbi algorithm in the recognition was the recognition result. Finally, the speech recognition and RFID systems were achieved in an actual environment to prove its feasibility and stability, and implemented into the omni-directional mobile robot.

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

    Science.gov (United States)

    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 journals with dedicated 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.

  2. Viterbi-bidirectional Searching Based ML Decoding Algorithm for Tail-biting Codes%基于Viterbi-双向搜索的咬尾码最大似然译码算法

    Institute of Scientific and Technical Information of China (English)

    王晓涛; 钱骅; 康凯

    2013-01-01

    There exist two problems with the conventional Maximal Likelihood (ML) decoding algorithms: high decoding complexity and large memory space consumption. To solve these problems, a new algorithm that is based on Viterbi and bidirectional searching algorithm is proposed. By comparing the accumulated path metrics of survived paths with the path metric of ML tail-biting path, all of which are obtained in the Viterbi searching phase, the new algorithm deletes impossible starting states and their corresponding sub-tail-biting trellises to reduce the searching space for the second phase. In the second phase, the decoding complexity can be further reduced by comparing the path metric of ML tail-biting path with the threshold used in the bidirectional searching algorithm. Combing the Viterbi algorithm and bidirectional searching algorithm, a new ML decoding algorithm for tail-biting codes, which can be performed on tail-biting trellis with high efficiency, is obtained. The results of experiments show that the new algorithm improves the decoding efficiency and reduces the memory space consumption.%  传统咬尾码最大似然(ML)译码算法在译码时存在两个问题:复杂度高和消耗存储空间大。针对这两个问题,该文提出了一种基于Viterbi算法和双向搜索算法的最大似然译码算法。新算法利用Viterbi算法得到的幸存路径度量值与最大似然咬尾路径度量值的关系,删除不可能的起始状态及其对应的咬尾格形子图,缩小搜索空间;然后利用双向搜索算法中门限值与最大似然咬尾路径度量值的关系来降低双向搜索算法的复杂度,从而得到一种在咬尾格形图上高效率的最大似然译码算法。新的最大似然译码算法不仅降低了译码复杂度,同时降低了译码器对存储空间的需求。

  3. 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......-driven distraction. Seen exemplarily this is a success to the extent that we have succeeded through publications and lectures to create awareness of the application forms, so they can be applied all over in the educational system. However, a part of the way, the exemplary results are in contrast to our experimental...

  4. 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.

  5. Jargon and Graph Modularity on Twitter

    Energy Technology Data Exchange (ETDEWEB)

    Dowling, Chase P.; Corley, Courtney D.; Farber, Robert M.; Reynolds, William

    2013-09-01

    The language of conversation is just as dependent upon word choice as it is on who is taking part. Twitter provides an excellent test-bed in which to conduct experiments not only on language usage but on who is using what language with whom. To this end, we combine large scale graph analytical techniques with known socio-linguistic methods. In this article we leverage both expert curated vocabularies and naive mathematical graph analyses to determine if network behavior on Twitter corroborates with the current understanding of language usage. The results reported indicate that, based on networks constructed from user to user communication and communities identified using the Clauset- Newman greedy modularity algorithm we find that more prolific users of these curated vocabularies are concentrated in distinct network communities.

  6. Identification of loyal opinion leaders on Twitter

    OpenAIRE

    Manuela López; María Sicilia

    2016-01-01

    Twitter has been chosen by lot of companies as social network site to create brand communities. Although consumers can write opinions about the brand in many websites, the development of brand communities enhances this word of mouth and allows consumers to spread the word about the brand in the brand community context. Some opinion leaders could be part of the brand community. Thus, companies can enhance positive word of mouth toward the brand by identifying these opinion leaders. However, th...

  7. Twitter Fiction: A New Creative Literary Landscape

    OpenAIRE

    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 sophisticated. The attention deficit generation of the fast-paced contemporary world has little time on its hands for extended discourse. Brief stori...

  8. Communication about childhood obesity on Twitter.

    Science.gov (United States)

    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.

  9. 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.

  10. ’n (Outobiografiese Twitter-teologie

    Directory of Open Access Journals (Sweden)

    Jan-Albert van den Berg

    2016-05-01

    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.

  11. Career success in a boundaryless career world

    NARCIS (Netherlands)

    Arthur, Michael B.; Khapova, S.N.; Wilderom, Celeste P.M.

    2005-01-01

    This paper compares contemporary career theory with the theory applied in recent career success research. The research makes inconsistent use of career theory, and in particular neglects the interdependence of the objective and subjective careers, and boundaryless career issues of

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

    Science.gov (United States)

    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.

  13. Career development

    OpenAIRE

    Langerová, Aneta

    2008-01-01

    Document (1) highlights some of the important career development factors connected with self management and (2) describes proposal, preparation and execution of socio-psychological trainning session of first career development which aims to help high school students find the way to start their working career correctly.

  14. Dentistry: Careers in Dentistry

    Science.gov (United States)

    ... ADA Twitter ADA News Twitter ADA Facebook GKAS Facebook New Dentist Blog Press Room Press Room Home Contact News Releases Press Kits ADA Positions Advertise Media Kit Classifieds Digital Ads ADA News The ...

  15. Tweeting to Learn: Understanding Twitter through the Lens of Connectivism

    Directory of Open Access Journals (Sweden)

    Nirupama Akella, MS

    2014-08-01

    Full Text Available Twitter, primarily a social media outlet, has recently started foraying and gaining a foothold in higher education. Written from a student perspective, this paper attempts to explain and critically discuss the usage and popularity of Twitter as a tool of active learning in higher education. The author writes about her student experience of using Twitter in her Public Relations Communications graduate class. The paper explores and scrutinizes the social media channel within the theoretical framework of connectivism.

  16. 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...

  17. PhishAri: Automatic Realtime Phishing Detection on Twitter

    OpenAIRE

    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...

  18. Tweeting to Learn: Understanding Twitter through the Lens of Connectivism

    OpenAIRE

    2014-01-01

    Twitter, primarily a social media outlet, has recently started foraying and gaining a foothold in higher education. Written from a student perspective, this paper attempts to explain and critically discuss the usage and popularity of Twitter as a tool of active learning in higher education. The author writes about her student experience of using Twitter in her Public Relations Communications graduate class. The paper explores and scrutinizes the social media channel within the theoretical fra...

  19. Twittering to increase student engagement in the university classroom

    Directory of Open Access Journals (Sweden)

    Bridget K. Welch

    2012-09-01

    Full Text Available In this paper, we explored the research question: Does Twitter in a large-lecture format university course produced a difference in levels of self-reported student engagement? To do so, we utilize a quasi-experimental design testing the effect of Twitter on student engagement in introductory sociology and anthropology courses. Our hypotheses predicted that students using Twitter would report higher levels of five forms of student engagement (academic, intellectual, peer, and beyond-class engagement, along with an overall engagement variable. While peer-reviewed literature and others’ anecdotal reporting would lead us to expect a positive result, we found no significant difference in any form of engagement when Twitter was part of the course than when it was not. In fact, we found that students enrolled in the control (non-Twitter condition perceived significantly higher levels of academic engagement then those in the experimental (used Twitter condition. We also included a second set of hypothesis predicting that students who reported enjoying using Twitter would perceive of themselves as more engaged than those who did not enjoy Twitter. These hypotheses were supported across all forms of engagement. We report these findings and utilize comments from an open-ended questionnaire to explore potential reasons accounting for these differences and how students perceived Twitter as a classroom tool.

  20. Sentiment analysis framework organization based on twitter corpus data

    Directory of Open Access Journals (Sweden)

    Adela Beres

    2012-06-01

    Full Text Available Since its inception in 2006, Twitter has gathered millions of users. They post daily tweets about news, events or conversations. These tweets express their opinion about the topic they are discussing. Twitter is a large database of content that can be semantically exploited to extract opinions and based on these opinions to classify the users. This paper presents the organization of a sentiment analysis framework based on Twitter corpus data, including crawling tweets and opinion mining of the tweets, making it easy for its users to create portfolios of trustful Twitter accounts.

  1. 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,

  2. Career building

    Science.gov (United States)

    Carlowicz, Michael

    In order to encourage young scientists to integrate their research into teaching and their innovative teaching ideas into formal research, the National Science Foundation (NSF) is offering Faculty Early Career Development (CAREER) grants. Awarded to junior-level faculty at $200,000 to $500,000 for 4-5 years, CAREER grants are designed to allow scientists and engineers to simultaneously develop prowess in research and education early in their careers. NSF made 346 CAREER grants (including six for Earth sciences) totaling $40 million in 1996.

  3. Minimum decoding trellis length and truncation depth of wrap-around Viterbi algorithm for TBCC in mobile WiMAX

    Directory of Open Access Journals (Sweden)

    Liu Yu-Sun

    2011-01-01

    Full Text Available Abstract The performance of the wrap-around Viterbi decoding algorithm with finite truncation depth and fixed decoding trellis length is investigated for tail-biting convolutional codes in the mobile WiMAX standard. Upper bounds on the error probabilities induced by finite truncation depth and the uncertainty of the initial state are derived for the AWGN channel. The truncation depth and the decoding trellis length that yield negligible performance loss are obtained for all transmission rates over the Rayleigh channel using computer simulations. The results show that the circular decoding algorithm with an appropriately chosen truncation depth and a decoding trellis just a fraction longer than the original received code words can achieve almost the same performance as the optimal maximum likelihood decoding algorithm in mobile WiMAX. A rule of thumb for the values of the truncation depth and the trellis tail length is also proposed.

  4. A Very Efficient Transfer Function Bounding Technique on Bit Error Rate for Viterbi Decoded, Rate 1/N Convolutional Codes

    Science.gov (United States)

    Lee, P. J.

    1984-01-01

    For rate 1/N convolutional codes, a recursive algorithm for finding the transfer function bound on bit error rate (BER) at the output of a Viterbi decoder is described. This technique is very fast and requires very little storage since all the unnecessary operations are eliminated. Using this technique, we find and plot bounds on the BER performance of known codes of rate 1/2 with K 18, rate 1/3 with K 14. When more than one reported code with the same parameter is known, we select the code that minimizes the required signal to noise ratio for a desired bit error rate of 0.000001. This criterion of determining goodness of a code had previously been found to be more useful than the maximum free distance criterion and was used in the code search procedures of very short constraint length codes. This very efficient technique can also be used for searches of longer constraint length codes.

  5. Large Scale Implementations for Twitter Sentiment Classification

    Directory of Open Access Journals (Sweden)

    Andreas Kanavos

    2017-03-01

    Full Text Available Sentiment Analysis on Twitter Data is indeed a challenging problem due to the nature, diversity and volume of the data. People tend to express their feelings freely, which makes Twitter an ideal source for accumulating a vast amount of opinions towards a wide spectrum of topics. This amount of information offers huge potential and can be harnessed to receive the sentiment tendency towards these topics. However, since no one can invest an infinite amount of time to read through these tweets, an automated decision making approach is necessary. Nevertheless, most existing solutions are limited in centralized environments only. Thus, they can only process at most a few thousand tweets. Such a sample is not representative in order to define the sentiment polarity towards a topic due to the massive number of tweets published daily. In this work, we develop two systems: the first in the MapReduce and the second in the Apache Spark framework for programming with Big Data. The algorithm exploits all hashtags and emoticons inside a tweet, as sentiment labels, and proceeds to a classification method of diverse sentiment types in a parallel and distributed manner. Moreover, the sentiment analysis tool is based on Machine Learning methodologies alongside Natural Language Processing techniques and utilizes Apache Spark’s Machine learning library, MLlib. In order to address the nature of Big Data, we introduce some pre-processing steps for achieving better results in Sentiment Analysis as well as Bloom filters to compact the storage size of intermediate data and boost the performance of our algorithm. Finally, the proposed system was trained and validated with real data crawled by Twitter, and, through an extensive experimental evaluation, we prove that our solution is efficient, robust and scalable while confirming the quality of our sentiment identification.

  6. 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

  7. Estimating mobile traffic demand using Twitter

    OpenAIRE

    Yang, B.; Guo, W.; Chen, B.; Yang, G.; Zhang, J

    2016-01-01

    In this paper, the authors show that structured social\\ud media data can act as an accurate predictor for wireless data\\ud demand patterns at a high spatial-temporal resolution. A casestudy\\ud is performed on Greater London covering a 5000km2\\ud area.\\ud The data used includes over 0.6 million geo-tagged Twitter data,\\ud over 1 million mobile phone data demand records, and UK census\\ud data. The analysis shows that social media activity (Tweets/s n)\\ud can accurately predict the long-term tra...

  8. Detecting influenza outbreaks by analyzing Twitter messages

    CERN Document Server

    Culotta, Aron

    2010-01-01

    We analyze over 500 million Twitter messages from an eight month period and find that tracking a small number of flu-related keywords allows us to forecast future influenza rates with high accuracy, obtaining a 95% correlation with national health statistics. We then analyze the robustness of this approach to spurious keyword matches, and we propose a document classification component to filter these misleading messages. We find that this document classifier can reduce error rates by over half in simulated false alarm experiments, though more research is needed to develop methods that are robust in cases of extremely high noise.

  9. Analyzing discussions on twitter: Case study on HPV vaccinations

    NARCIS (Netherlands)

    Kaptein, R.; Boertjes, E.; Langley, D.

    2014-01-01

    In this work we analyze the discussions on Twitter around the Human papillomavirus (HPV) vaccinations. We collect a dataset consisting of tweets related to the HPV vaccinations by searching for relevant keywords, by retrieving the conversations on Twitter, and by retrieving tweets from our user grou

  10. Teaching with Twitter: Not for the Faint of Heart

    Science.gov (United States)

    Young, Jeffrey R.

    2010-01-01

    Asking 250 students to post questions on Twitter during a class doesn't risk life or limb. But it can cause ego damage if students get disorderly online. Opening up a Twitter-powered channel in class--which professors at other universities are experimenting with as well--alters classroom power dynamics and signals to students that they're in…

  11. Analyzing discussions on twitter: Case study on HPV vaccinations

    NARCIS (Netherlands)

    Kaptein, R.; Boertjes, E.; Langley, D.

    2014-01-01

    In this work we analyze the discussions on Twitter around the Human papillomavirus (HPV) vaccinations. We collect a dataset consisting of tweets related to the HPV vaccinations by searching for relevant keywords, by retrieving the conversations on Twitter, and by retrieving tweets from our user

  12. Characterisation of the Use of Twitter by Australian Universities

    Science.gov (United States)

    Palmer, Stuart

    2013-01-01

    Universities are now observed using social media communications channels for a variety of purposes, including marketing, student recruitment, student support and alumni communication. This paper presents an investigation into the use of the Twitter social media platform by universities in Australia, using publicly available Twitter data over a…

  13. Engagement through Microblogging: Educator Professional Development via Twitter

    Science.gov (United States)

    Carpenter, Jeffrey P.; Krutka, Daniel G.

    2015-01-01

    Traditional, top-down professional development (PD) can render teachers mere implementers of the ideas of others, but there is some hope that the participatory nature of social media such as Twitter might support more grassroots PD. To better understand Twitter's role in education, we conducted a survey of K-16 educators regarding their use of the…

  14. The Use of Twitter for Professional Growth and Development

    Science.gov (United States)

    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…

  15. 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.

  16. Design Considerations for Integrating Twitter into an Online Course

    Science.gov (United States)

    Rohr, Linda E.; Costello, Jane; Hawkins, Thomas

    2015-01-01

    While the use of Twitter for communication and assessment activities in online courses is not new, it has not been without its challenges. This is increasingly true of high enrolment courses. The use of a Twitter Evaluation application which leverages a Learning Management System's (LMS's) application programming interface (API) provides a…

  17. Characterisation of the Use of Twitter by Australian Universities

    Science.gov (United States)

    Palmer, Stuart

    2013-01-01

    Universities are now observed using social media communications channels for a variety of purposes, including marketing, student recruitment, student support and alumni communication. This paper presents an investigation into the use of the Twitter social media platform by universities in Australia, using publicly available Twitter data over a…

  18. The Effects of Twitter Sentiment on Stock Price Returns.

    Directory of Open Access Journals (Sweden)

    Gabriele Ranco

    Full Text Available 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.

  19. Social infomediation of news on Twitter: a French case study

    NARCIS (Netherlands)

    Smyrnaios, N.; Rieder, B.

    2013-01-01

    Social infomediation is an emerging phenomenon that sees growing numbers of Internet users share and comment on news items on Facebook and Twitter. This study analyses a large sample of French-speaking Twitter users over a period of two months. First, we study some general characteristics of our

  20. Career Transitions and Career Success in the "New" Career Era

    Science.gov (United States)

    Chudzikowski, Katharina

    2012-01-01

    The "new" career, most notably the boundaryless career, is associated with high career mobility, which is in turn associated with employability and career success of individuals. The current study examined how frequency, form (organisational, horizontal or vertical) and impact (objective career success) of career transitions have changed…

  1. Twitmographics: Learning the Emergent Properties of the Twitter Community

    Science.gov (United States)

    Cheong, Marc; Lee, Vincent

    This paper presents a framework for discovery of the emergent properties of users of the Twitter microblogging platform. The novelty of our methodology is the use of machine-learning methods to deduce user demographic information and online usage patterns and habits not readily apparent from the raw messages posted on Twitter. This is different from existing social network analysis performed on de facto social networks such as Face-book, in the sense that we use publicly available metadata from Twitter messages to explore the inherent characteristics about different segments of the Twitter community, in a simple yet effective manner. Our framework is coupled with the self-organizing map visualization method, and tested on a corpus of messages which deal with issues of socio politi-cal and economic impact, to gain insight into the properties of human interaction via Twitter as a medium for computer-mediated self-expression.

  2. Affective Computing Model for the Set Pair Users on Twitter

    Directory of Open Access Journals (Sweden)

    Chunying Zhang

    2013-01-01

    Full Text Available Affective computing is the calculation about sentiment, sentiment generated and the aspects of affecting the sentiment. However, the different factors often cause the uncertainty of sentiment expression of the users. Today twitter as the information media of real-time and timely has become better sentiment expression vector for users themselves. Therefore, in allusion to the diversity of sentiment form of twitter information to express sentiment, this paper constructs affective computing model, starting from the differences of the constituted form of Twitter based on set pair theory to make analysis and calculation for user sentiment, from the text, emoticon, picture information and other multi-angle to analyze the positive, negative and uncertain emotion of the users for the signal twitter, consolidating the weight of various parts in emotional information, building hierarchical set pair affective computing model for twitter users, to offer more favorable data support for the relevant departments and businesses.

  3. [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.

  4. Twitter mood predicts the stock market

    CERN Document Server

    Bollen, Johan; Zeng, Xiao-Jun

    2010-01-01

    Behavioral economics tells us that emotions can profoundly affect individual behavior and decision-making. Does this also apply to societies at large, i.e., can societies experience mood states that affect their collective decision making? By extension is the public mood correlated or even predictive of economic indicators? Here we investigate whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time. We analyze the text content of daily Twitter feeds by two mood tracking tools, namely OpinionFinder that measures positive vs. negative mood and Google-Profile of Mood States (GPOMS) that measures mood in terms of 6 dimensions (Calm, Alert, Sure, Vital, Kind, and Happy). We cross-validate the resulting mood time series by comparing their ability to detect the public's response to the presidential election and Thanksgiving day in 2008. A Granger causality analysis and a Self-Organizing Fuzzy Neural Network...

  5. MCMC Particle Filter Using New Data Association Technique with Viterbi Filtered Gate Method for Multi-Target Tracking in Heavy Clutter

    Directory of Open Access Journals (Sweden)

    E. M.Saad

    2011-08-01

    Full Text Available Improving data association technique in dense clutter environment for multi-target tracking used in Markov chain Monte Carlo based particle filter (MCMC-PF are discussed in this paper. A new method named Viterbi filtered gate Markov chain Monte Carlo VFG-MCMC is introduced to avoid track swap and to overcome the issue of loosing track to highly maneuvering targets in the presence of more background clutter and false signals. An adaptive search based on Viterbi algorithm is then used to detect the valid filtered data point in each target gate. The detected valid point for each target is applied to the estimation algorithm of MCMC-PF during calculating the sampling weights. This proposed method makes the MCMC interacts only with the valid target that is candidate from the filtered gate and no more calculations are considered for invalid targets. Simulation results demonstrate the effectiveness and better performance when compared to conventional algorithm MCMC-PF.

  6. Career Education: An Undergirding for Career Counseling

    Science.gov (United States)

    Feingold, S. Norman

    1976-01-01

    This article defines career education and career counseling and attempts to delineate their functions. It then examines curriculum trends and developments in career education, and describes some innovative career education programs. (NG)

  7. How to set up and use a Twitter account professionally.

    Science.gov (United States)

    Chudleigh, Meriel; Jones, Ray

    2016-11-02

    Rationale and key points This article encourages nurses to use Twitter to engage in professional discussions, share information and raise awareness of alternative views to enhance practice and patient care. Twitter is an online social media service that enables users to send and read 140-character messages called tweets. » Twitter is free and accessible across multiple platforms and devices, providing immediate contact with professionals, organisations and the public worldwide. » Many healthcare professionals use Twitter to share ideas and information. » Responsible use of Twitter creates opportunities to access information, discuss issues and challenge misconceptions to support professional nursing behaviours. Reflective activity 'How to' articles can help update your practice and ensure it remains evidence based. Apply this article to your practice. Reflect on and write a short account of: 1. How you could develop your use of Twitter for professional learning and interaction with healthcare professionals and others. 2. How you could support a colleague to use Twitter for the first time.

  8. Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose

    OpenAIRE

    Morstatter, Fred; Pfeffer, Jürgen; Liu, Huan; Carley, Kathleen M.

    2013-01-01

    Twitter is a social media giant famous for the exchange of short, 140-character messages called "tweets". In the scientific community, the microblogging site is known for openness in sharing its data. It provides a glance into its millions of users and billions of tweets through a "Streaming API" which provides a sample of all tweets matching some parameters preset by the API user. The API service has been used by many researchers, companies, and governmental institutions that want to extract...

  9. Modeling the infectiousness of Twitter hashtags

    Science.gov (United States)

    Skaza, Jonathan; Blais, Brian

    2017-01-01

    This study applies dynamical and statistical modeling techniques to quantify the proliferation and popularity of trending hashtags on Twitter. Using time-series data reflecting actual tweets in New York City and San Francisco, we present estimates for the dynamics (i.e., rates of infection and recovery) of several hundred trending hashtags using an epidemic modeling framework coupled with Bayesian Markov Chain Monte Carlo (MCMC) methods. This methodological strategy is an extension of techniques traditionally used to model the spread of infectious disease. Using SIR-type models, we demonstrate that most hashtags are marginally infectious, while very few emerge as "trending". In doing so we illustrate that hashtags can be grouped by infectiousness, possibly providing a method for quantifying the trendiness of a topic.

  10. Twitter as a communication tool for orthopedic surgery.

    Science.gov (United States)

    Franko, Orrin I

    2011-11-01

    Twitter is a social networking Web site that has changed the way information is communicated. This study involved identifying, categorizing, and reviewing orthopedic Twitter profiles. A total of 412 profiles were identified. Of those, 176 (50.3%) were surgeons; 89 (50.5%) were based in the United States and 77 (43.8%) were not (10 unclassified). Most surgeons were young; 66% of surgeons were board certified within the past 10 years. Only a small percentage of orthopedic surgeons and practices currently use Twitter, but the use of social networking for orthopedic communication is likely to play an increasing role in future clinical practice.

  11. Statistics of co-occurring keywords on Twitter

    CERN Document Server

    Mathiesen, Joachim; Jensen, Mogens 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 on 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.

  12. Emotion Detection on Twitter Data using Knowledge Base Approach

    National Research Council Canada - National Science Library

    Srinivasu Badugu; Matla Suhasini

    2017-01-01

    ... will help us better to interpret millions of individuals. This paper describes a Rule Based approach, which detects the emotion or mood of the tweet and classifies the twitter message under appropriate emotional category...

  13. Tweetstorming PLNs: Using Twitter to Brainstorm about Personal Learning Networks

    NARCIS (Netherlands)

    Sie, Rory; Boursinou, Eleni; Rajagopal, Kamakshi; Pataraia, Nino

    2012-01-01

    Sie, R., Boursinou, E., Rajagopal, K., & Pataraia, N. (2011). Tweetstorming PLNs: Using Twitter to Brainstorm about Personal Learning Networks. In Proceedings of The PLE Conference 2011. July, 10-12, 2011, Southampton, UK.

  14. The effect of Twitter exposure on false memory formation.

    Science.gov (United States)

    Fenn, Kimberly M; Griffin, Nicholas R; Uitvlugt, Mitchell G; Ravizza, Susan M

    2014-12-01

    Social media sites such as Facebook and Twitter have increased drastically in popularity. However, information on these sites is not verified and may contain inaccuracies. It is well-established that false information encountered after an event can lead to memory distortion. Therefore, social media may be particularly harmful for autobiographical memory. Here, we tested the effect of Twitter on false memory. We presented participants with a series of images that depicted a story and then presented false information about the images in a scrolling feed that bore either a low or high resemblance to a Twitter feed. Confidence for correct information was similar across the groups, but confidence for suggested information was significantly lower when false information was presented in a Twitter format. We propose that individuals take into account the medium of the message when integrating information into memory.

  15. Tweetstorming PLNs: Using Twitter to Brainstorm about Personal Learning Networks

    NARCIS (Netherlands)

    Sie, Rory; Boursinou, Eleni; Rajagopal, Kamakshi; Pataraia, Nino

    2012-01-01

    Sie, R., Boursinou, E., Rajagopal, K., & Pataraia, N. (2011). Tweetstorming PLNs: Using Twitter to Brainstorm about Personal Learning Networks. In Proceedings of The PLE Conference 2011. July, 10-12, 2011, Southampton, UK.

  16. Emerging Careers.

    Science.gov (United States)

    McGregor, Elizabeth

    1990-01-01

    Fields such as robotics, computer graphics, and health care are fostering the evolution of new occupations. Identifying these occupations is challenging because of the difficulty of distinguishing between new and existing careers. (Author)

  17. Our Year on Twitter: Science in #SocialMedia.

    Science.gov (United States)

    McHeyzer-Williams, Louise J; McHeyzer-Williams, Michael G

    2016-04-01

    Information is now available in real time from a multitude of sources. Twitter provides one effective means to broadcast images with short captions instantly and everywhere. Last year we began using Twitter to convey our excitement with the biological sciences, and discovered a new means to contribute, connect, and conference with a broader global scientific community and beyond. Here we share this experience, and invite you to join in the conversation. Copyright © 2016 Elsevier Ltd. All rights reserved.

  18. A Fake Follower Story: improving fake accounts detection on Twitter

    OpenAIRE

    Di Pietro, Roberto; Petrocchi, Marinella; Spognardi, Angelo; Tesconi, Maurizio; Cresci, Stefano

    2014-01-01

    Fake followers are those Twitter accounts created to inflate the number of followers of a target account. Fake followers are dangerous to the social platform and beyond, since they may alter concepts like popularity and influence in the Twittersphere-hence impacting on economy, politics, and Society. In this paper, we contribute along different dimensions. First, we review some of the most relevant existing features and rules (proposed by Academia and Media) for anomalous Twitter accounts det...

  19. Engaging with European Politics through Twitter and Facebook

    DEFF Research Database (Denmark)

    Bossetta, Michael; Dutceac Segesten, Anamaria; Trenz, Hans-Jörg

    2017-01-01

    , partisan, and moral) and four degrees of engagement (making, commenting, diffusing, and listening). Moreover, we argue that differences in Twitter and Facebook’s “digital architectures” encourage certain styles and degrees of engagement over others, and that the two social platforms sustain different...... levels of transnational activity. Supporting our argument with European cases, we suggest that Twitter is more suitable to fulfill social media’s transnational promise than Facebook, which is better adept at stimulating political participation....

  20. Using Twitter to communicate conservation science from a professional conference.

    Science.gov (United States)

    Bombaci, Sara P; Farr, Cooper M; Gallo, H Travis; Mangan, Anna M; Stinson, Lani T; Kaushik, Monica; Pejchar, Liba

    2016-02-01

    Scientists are increasingly using Twitter as a tool for communicating science. Twitter can promote scholarly discussion, disseminate research rapidly, and extend and diversify the scope of audiences reached. However, scientists also caution that if Twitter does not accurately convey science due to the inherent brevity of this media, misinformation could cascade quickly through social media. Data on whether Twitter effectively communicates conservation science and the types of user groups receiving these tweets are lacking. To address these knowledge gaps, we examined live tweeting as a means of communicating conservation science at the 2013 International Congress for Conservation Biology (ICCB). We quantified and compared the user groups sending and reading live tweets. We also surveyed presenters to determine their intended audiences, which we compared with the actual audiences reached through live tweeting. We also asked presenters how effectively tweets conveyed their research findings. Twitter reached 14 more professional audience categories relative to those attending and live tweeting at ICCB. However, the groups often reached through live tweeting were not the presenters' intended audiences. Policy makers and government and non-governmental organizations were rarely reached (0%, 4%, and 6% of audience, respectively), despite the intent of the presenters. Plenary talks were tweeted about 6.9 times more than all other oral or poster presentations combined. Over half the presenters believed the tweets about their talks were effective. Ineffective tweets were perceived as vague or missing the presenters' main message. We recommend that presenters who want their science to be communicated accurately and broadly through Twitter should provide Twitter-friendly summaries that incorporate relevant hashtags and usernames. Our results suggest that Twitter can be used to effectively communicate speakers' findings to diverse audiences beyond conference walls. © 2015

  1. 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.

  2. Identifying Twitter influencer profiles for health promotion in Saudi Arabia.

    Science.gov (United States)

    Albalawi, Yousef; Sixsmith, Jane

    2017-06-01

    New media platforms, such as Twitter, provide the ideal opportunity to positively influence the health of large audiences. Saudi Arabia has one of the highest number of Twitter users of any country, some of whom are very influential in setting agendas and contributing to the dissemination of ideas. Those opinion leaders, both individuals and organizations, influential in the new media environment have the potential to raise awareness of health issues, advocate for health and potentially instigate change at a social level. To realize the potential of the new media platforms for public health, the function of opinion leaders is key. This study aims to identify and profile the most influential Twitter accounts in Saudi Arabia. Multiple measures, including: number of followers and four influence scores, were used to evaluate Twitter accounts. The data were then filtered and analysed using ratio and percentage calculations to identify the most influential users. In total, 99 Saudi Twitter accounts were classified, resulting in the identification of 25 religious men/women, 16 traditional media, 14 sports related, 10 new media, 6 political, 6 company and 4 health accounts. The methods used to identify the key influential Saudi accounts can be applied to inform profile development of Twitter users in other countries. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  3. Career success in a boundaryless career world

    NARCIS (Netherlands)

    Arthur, Michael B.; Khapova, Svetlana N.; Wilderom, Celeste P.M.

    2005-01-01

    This paper compares contemporary career theory with the theory applied in recent career success research. The research makes inconsistent use of career theory, and in particular neglects the interdependence of the objective and subjective careers, and boundaryless career issues of inter-organization

  4. A Career Roles Model of Career Development

    Science.gov (United States)

    Hoekstra, Hans A.

    2011-01-01

    Career development is described as the interactive progression of internal career identity formation and the growth of external career significance. Argued is the need for a content model of career development where the field is dominated by process theories. A theory is put forward of career development crystallizing in the acquisition of career…

  5. A career roles model of career development

    NARCIS (Netherlands)

    Hoekstra, Hans A.

    2011-01-01

    Career development is described as the interactive progression of internal career identity formation and the growth of external career significance. Argued is the need for a content model of career development where the field is dominated by process theories. A theory is put forward of career develo

  6. A career roles model of career development

    NARCIS (Netherlands)

    Hoekstra, Hans A.

    Career development is described as the interactive progression of internal career identity formation and the growth of external career significance. Argued is the need for a content model of career development where the field is dominated by process theories. A theory is put forward of career

  7. A career roles model of career development

    NARCIS (Netherlands)

    Hoekstra, Hans A.

    2011-01-01

    Career development is described as the interactive progression of internal career identity formation and the growth of external career significance. Argued is the need for a content model of career development where the field is dominated by process theories. A theory is put forward of career develo

  8. 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

  9. Assessing Career Indecision.

    Science.gov (United States)

    Osipow, Samuel H.

    1999-01-01

    Reviews the history of career decision-making measures such as My Vocational Situation, Career Decision Scale, Career Factors Inventory, and others. Assesses Holland's contribution to the accurate measurement of career indecision. (SK)

  10. 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.

  11. Detección de Idioma en Twitter (Language Detection on Twitter

    Directory of Open Access Journals (Sweden)

    Yudivián Almeida-Cruz

    2014-08-01

    Full Text Available Resumen El trabajo presenta una alternativa para identificar idiomas en Twitter sin que sea necesario utilizar conjuntos de entrenamiento o información agregada. En dicha alternativa se utilizan técnicas basadas en los algoritmos de reconocimiento de trigramas y small words. Se valora la utilización de estos algoritmos por sí solos y en un modelo de composición. Asimismo, se analiza la incidencia del pre-procesamiento de los tweets en la precisión de la identificación de los idiomas. Finalmente, después de un proceso de experimentación, se determina la mejor alternativa de las estudiadas. Abstract The paper presents an alternative to identify languages on Twitter without having to use training sets or aggregated information. Such alternative is based on trigram recognition algorithms and small words techniques. The use of these algorithms is evaluated both on their own and in a model of composition. Also, the incidence of pre-processing of tweets in the accuracy of identifying the language is discussed. Finally, after a process of experimentation, the best alternative, out of those studied, is determined.

  12. 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.

  13. Student Teachers’ Attitude towards Twitter for Educational Aims

    Directory of Open Access Journals (Sweden)

    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.

  14. Profile characteristics of fake Twitter accounts

    Directory of Open Access Journals (Sweden)

    Supraja Gurajala

    2016-10-01

    Full Text Available In online social networks, the audience size commanded by an organization or an individual is a critical measure of that entity’s popularity and this measure has important economic and/or political implications. Such efforts to measure popularity of users or exploit knowledge about their audience are complicated by the presence of fake profiles on these networks. In this study, analysis of 62 million publicly available Twitter user profiles was conducted and a strategy to identify automatically generated fake profiles was established. Using a combination of a pattern-matching algorithm on screen-names and an analysis of update times, a reasonable number (∼0.1% of total users of highly reliable fake user accounts were identified. Analysis of profile creation times and URLs of these fake accounts revealed their distinct behavior relative to a ground truth data set. The characteristics of friends and followers of users in the two data sets further revealed the very different nature of the two groups. The ratio of number of followers-to-friends for ground truth users was ∼1, consistent with past observations, while the fake profiles had a median ratio ∼30, indicating that the fake users we identified were primarily focused on gathering friends. An analysis of the temporal evolution of accounts over 2 years showed that the friends-to-followers ratio increased over time for fake profiles while they decreased for ground truth users. Our results, thus, suggest that a profile-based approach can be used for identifying a core set of fake online social network users in a time-efficient manner.

  15. Performance Careers

    Science.gov (United States)

    McAuliffe, Jason; And Others

    1977-01-01

    The field of music performance offers as many opportunities as there are individuals willing to attempt a breakthrough. Yet, this is one of the most difficult careers to succeed in. Here are eight varied articles on being a pop/rock/jazz instrumentalist or vocalist, a classical music instrumentalist or vocalist, a studio musician, a conductor, a…

  16. CAREER DEVELOPMENT

    Science.gov (United States)

    The Baltimore Summit Project on Career Development/PERFORMS Enhancement/360 Evaluations for All has made some progress. We have identified the fact that we cannot change the current Pass/Fail PERFORMS system to a tiered system. The current pass/fail system does not have a mechani...

  17. Career writing

    NARCIS (Netherlands)

    Rob Poell; dr. Frans Meijers; Mijke Post; Reinekke Lengelle

    2014-01-01

    This study investigates whether creative, expressive, and reflective writing contributes to the formation of a narrative career identity that offers students in higher education a sense of meaning and direction. The contents of writing done by students who participated in 2 two-day writing courses b

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

    Science.gov (United States)

    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.

  19. Efficiency of Human Activity on Information Spreading on Twitter

    CERN Document Server

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

    2014-01-01

    Understanding the collective reaction to individual actions is key to effectively spread information in social media. In this work we define efficiency on Twitter, as the ratio between the emergent spreading process and the activity employed by the user. We characterize this property by means of a quantitative analysis of the structural and dynamical patterns emergent from human interactions, and show it to be universal across several Twitter conversations. We found that some influential users efficiently cause remarkable collective reactions by each message sent, while the majority of users must employ extremely larger efforts to reach similar effects. Next we propose a model that reproduces the retweet cascades occurring on Twitter to explain the emergent distribution of the user efficiency. The model shows that the dynamical patterns of the conversations are strongly conditioned by the topology of the underlying network. We conclude that the appearance of a small fraction of extremely efficient users resul...

  20. The Impact of Islamic Messages on Twitter Towards Moslem Youth

    Science.gov (United States)

    Fathan Hidayatullah, Ahmad; Hamzah, Almed

    2017-03-01

    The presence of social media has increased the opportunities for the Moslem in sharing and gaining knowledge about the religion of Islam. In general, Twitter can be an alternative for people to deliver and obtain Islamic messages. As the biggest moslem community, Indonesian people has made use of Twitter as a tool for them to gain knowledge about religion. As a matter of fact, there are many Islamic preachers that have been utilize Twitter as a media of proselytizing various topic related to religion practice. The most popular preacher usually has many follower. The result shows that there is a strong correlation between the two. There is a correlation between the number of tweets with the number of follower. The more preacher post a tweets the more follower they attained. Moreover, several topics are identified as the most frequently occurred. The tweets which contain about worship, love, information, and purification of soul have become the most favourable subject among preachers and scholars.

  1. Geocoding location expressions in Twitter messages: A preference learning method

    Directory of Open Access Journals (Sweden)

    Wei Zhang

    2014-12-01

    Full Text Available Resolving location expressions in text to the correct physical location, also known as geocoding or grounding, is complicated by the fact that so many places around the world share the same name. Correct resolution is made even more difficult when there is little context to determine which place is intended, as in a 140-character Twitter message, or when location cues from different sources conflict, as may be the case among different metadata fields of a Twitter message. We used supervised machine learning to weigh the different fields of the Twitter message and the features of a world gazetteer to create a model that will prefer the correct gazetteer candidate to resolve the extracted expression. We evaluated our model using the F1 measure and compared it to similar algorithms. Our method achieved results higher than state-of-the-art competitors.

  2. The Impact of Career Boundarylessness on Subjective Career Success: The Role of Career Competencies, Career Autonomy, and Career Insecurity

    Science.gov (United States)

    Colakoglu, Sidika N.

    2011-01-01

    Based on the theoretical frameworks of the career enactment and the stress perspectives, this study develops and tests a model in which career boundarylessness affects subjective career success through its effect on three career competencies--knowing-why, knowing-how, and knowing-whom--and career autonomy and career insecurity. The results…

  3. Twitter Malware Collection System: An Automated URL Extraction and Examination Platform

    Science.gov (United States)

    2011-08-01

    Facebook or newer Google+, would be beneficial. Since Twitter is not the only social networking service available, and since it only makes up a fraction...Twitter-118308.shtml [26] Brian Prince. (2010, March) Twitter Fights Phishing , Malware with Link Scanning Service. [Online]. http://www.eweek.com/c/a...Security/Twitter-Fights- Phishing -Malware-With-Link- Scanning-Service-556715/ 51 [27] Deputy Secretary Of Defense, "Directive-Type Memorandum (DTM

  4. Management Career in Education

    OpenAIRE

    Zaharia Valentina; Dogaru Mirela

    2012-01-01

    The concept of career has many meanings, generally being associated with the idea of moving up or advancement of a person in a particular field. Career Management career planning and development includes integration involves multiple functional interdependence of individual career planning, career planning and career development organization in education. Management planning and modeling career while individuals progress in an organization according to organizational needs assessments, and pe...

  5. Criminal Careers and "Career Criminals"

    National Research Council Canada - National Science Library

    Blumstein, Alfred; Cohen, Jacqueline; Roth, Jeffrey A; Visher, Christy A

    1986-01-01

    ..., and Christy A. Visher, editors Panel on Research on Criminal Careers Committee on Research on Law Enforcement and the Administration of Justice Commission on Behavioral and Social Sciences and Education National Research Council National Academy Press Washington, D.C.1986 i Copyrighttrue Please breaks inserted. are Page files. accidentally typesetting be...

  6. Nurses and Twitter: the good, the bad, and the reluctant.

    Science.gov (United States)

    Wilson, Rhonda; Ranse, Jamie; Cashin, Andrew; McNamara, Paul

    2014-01-01

    Nurses and other health professionals are adopting social media to network with health care professionals and organizations, support health education, deliver health promotion messages, enhance professional development and employment opportunities, and communicate within political forums. This paper explores the growing use of social media, and examines the current dynamics of Twitter as an example of the uptake of social media. This paper also offers practical guidance for new Twitter users who are interested in using this social media approach in clinical or educational settings, and for professional development.

  7. Good Friends, Bad News - Affect and Virality in Twitter

    DEFF Research Database (Denmark)

    Hansen, Lars Kai; Arvidsson, Adam; Nielsen, Finn Årup

    2011-01-01

    The link between affect, defined as the capacity for sentimental arousal on the part of a message, and virality, defined as the probability that it be sent along, is of significant theoretical and practical importance, e.g. for viral marketing. The basic measure of virality in Twitter is the prob......The link between affect, defined as the capacity for sentimental arousal on the part of a message, and virality, defined as the probability that it be sent along, is of significant theoretical and practical importance, e.g. for viral marketing. The basic measure of virality in Twitter...

  8. Type 1 diabetes in Twitter: who all listen to?

    OpenAIRE

    Gabarron, Elia; Makhlysheva, Alexandra; MARCO RUIZ, LUIS

    2015-01-01

    Published version, also available at http://dx.doi.org/10.3233/978-1-61499-564-7-972. License CC-BY-NC. Knowing what the conversation on Twitter regarding type 1 diabetes (T1D) is about can help in understanding the kind of information relevant to the individuals affected by the disease. The profile of Twitter users posting on T1D was collected and classified. The number of re-tweets was also registered. The tweets posted by non-governmental organizations (NGOs), communication media, and i...

  9. Leading by Following: An Analysis of How K-12 School Leaders Use Twitter

    Science.gov (United States)

    Sauers, Nicholas J.; Richardson, Jayson W.

    2015-01-01

    This study analyzed how active Twitter users who are also school leaders used the tool. The researchers collaboratively identified K-12 school leaders who were active on Twitter and then collected tweets from those school leaders. The final sample for this study included 115 Twitter users and over 180,000 tweets from those individuals. The results…

  10. Is Social Media Too Social for Class? A Case Study of Twitter Use

    Science.gov (United States)

    Lin, Meng-Fen Grace; Hoffman, Ellen S.; Borengasser, Claire

    2013-01-01

    This qualitative case study examined Twitter use by undergraduate and graduate students in three classes. Previous studies have shown that while some faculty use Twitter, few are incorporating it into classes despite many recommendations for such use. This study examined how students perceived Twitter as a classroom tool. As an optional activity,…

  11. Is Twitter an Effective Pedagogical Tool in Higher Education? Perspectives of Education Graduate Students

    Science.gov (United States)

    Bista, Krishna

    2015-01-01

    This study presents the perspectives of education graduate students of using Twitter as a pedagogical tool for 15 weeks as a required social media activity in class. The results indicated that participants in each course reported a positive learning experience of using Twitter. Although this was their first experience with Twitter, participants…

  12. 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.

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

    Science.gov (United States)

    McCormick, Tyler H.; Lee, Hedwig; Cesare, Nina; Shojaie, Ali; Spiro, Emma S.

    2017-01-01

    Despite recent and growing interest in using Twitter to examine human behavior and attitudes, there is still significant room for growth regarding the ability to leverage Twitter data for social science research. In particular, gleaning demographic information about Twitter users--a key component of much social science research--remains a…

  14. 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.

  15. 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

  16. 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.

  17. #Music Students: College Music Students' Twitter Use and Perceptions

    Science.gov (United States)

    Gooding, Lori F.; Yinger, Olivia Swedberg; Gregory, Dianne

    2016-01-01

    The purpose of the study was to investigate music education and music therapy majors' use of Twitter and their perceptions and knowledge related to policies and practices. Music majors (N = 238) from five universities in the Southeastern and Midwestern United States participated in a 16-question researcher-designed survey. Results indicated that…

  18. Twitter politics : social media, political reporting and online politics

    NARCIS (Netherlands)

    Graham, Todd

    2013-01-01

    This project studies the potential of social media for journalism and political communication, and its impact on democracy. It asks how the three actors in the triangle of political communication – politicians, journalists and citizens – use Twitter and how this effects information dissemination and

  19. 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

  20. Working the Social: Twitter and FriendFeed

    Science.gov (United States)

    Carscaddon, Laura; Harris, Colleen S.

    2009-01-01

    Information overload is so five years ago, but the problem it describes is all too real. Fortunately, there's hope yet for the savvy librarian: Twitter and FriendFeed turn information dissemination on its head, using friends and subscribers as a filter for the best, most credible, and most engaging information out there. Like other social media…

  1. Twitter as a Learning Community in Higher Education

    Science.gov (United States)

    Ricoy, María-Carmen; Feliz, Tiberio

    2016-01-01

    Considering the potential and popularity of social media it is important to inquire into its use in learning. In this study the implementation of the activity carried out in Twitter with higher education students was analysed. The research was conducted following a mixed methodology, based on virtual ethnography complemented by quantitative…

  2. 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…

  3. How political candidates use Twitter and the impact on votes

    NARCIS (Netherlands)

    Kruikemeier, S.

    2014-01-01

    This study investigates the content characteristics of Twitter during an election campaign, and the relationship between candidates’ style of online campaigning (i.e., politically personalized and interactive communication) and electoral support for those candidates. Thereby, it provides a better un

  4. Twitter as a Tool to Promote Community among Language Teachers

    Science.gov (United States)

    Lord, Gillian; Lomicka, Lara

    2014-01-01

    With the rise in popularity of microblogging, we must consider whether such social networking can be harnessed to bring benefits and outcomes to the professional development of teachers. Recent research shows us that Twitter is becoming more and more popular in classrooms, and has documented benefits in educational outcomes. This paper discusses…

  5. Mining twitter: a source for psychological wisdom of the crowds.

    Science.gov (United States)

    Reips, Ulf-Dietrich; Garaizar, Pablo

    2011-09-01

    Over the last few years, microblogging has gained prominence as a form of personal broadcasting media where information and opinion are mixed together without an established order, usually tightly linked with current reality. Location awareness and promptness provide researchers using the Internet with the opportunity to create "psychological landscapes"--that is, to detect differences and changes in voiced (twittered) emotions, cognitions, and behaviors. In our article, we present iScience Maps, a free Web service for researchers, available from http://maps.iscience.deusto.es/ and http://tweetminer.eu/ . Technologically, the service is based on Twitter's streaming and search application programming interfaces (APIs), accessed through several PHP libraries, and a JavaScript frontend. This service allows researchers to assess via Twitter the effect of specific events in different places as they are happening and to make comparisons between cities, regions, or countries regarding psychological states and their evolution in the course of an event. In a step-by-step example, it is shown how to replicate a study on affective and personality characteristics inferred from first names (Mehrabian & Piercy, Personality and Social Psychology Bulletin, 19, 755-758 1993) by mining Twitter data with iScience Maps.Results from the original study are replicated in both world regions we tested (the western U.S. and the U.K./Ireland); we also discover base rate of names to be a confound that needs to be controlled for in future research.

  6. Sentiment Analysis of Twitter tweets using supervised classification technique

    Directory of Open Access Journals (Sweden)

    Pranav Waykar

    2016-05-01

    Full Text Available Making use of social media for analyzing the perceptions of the masses over a product, event or a person has gained momentum in recent times. Out of a wide array of social networks, we chose Twitter for our analysis as the opinions expressed their, are concise and bear a distinctive polarity. Here, we collect the most recent tweets on users' area of interest and analyze them. The extracted tweets are then segregated as positive, negative and neutral. We do the classification in following manner: collect the tweets using Twitter API; then we process the collected tweets to convert all letters to lowercase, eliminate special characters etc. which makes the classification more efficient; the processed tweets are classified using a supervised classification technique. We make use of Naive Bayes classifier to segregate the tweets as positive, negative and neutral. We use a set of sample tweets to train the classifier. The percentage of the tweets in each category is then computed and the result is represented graphically. The result can be used further to gain an insight into the views of the people using Twitter about a particular topic that is being searched by the user. It can help corporate houses devise strategies on the basis of the popularity of their product among the masses. It may help the consumers to make informed choices based on the general sentiment expressed by the Twitter users on a product

  7. Twitter Sentiment Predicts Affordable Care Act Marketplace Enrollment

    Science.gov (United States)

    Sap, Maarten; Schwartz, Andrew; Town, Robert; Baker, Tom; Ungar, Lyle; Merchant, Raina M

    2015-01-01

    Background Traditional metrics of the impact of the Affordable Care Act (ACA) and health insurance marketplaces in the United States include public opinion polls and marketplace enrollment, which are published with a lag of weeks to months. In this rapidly changing environment, a real-time barometer of public opinion with a mechanism to identify emerging issues would be valuable. Objective We sought to evaluate Twitter’s role as a real-time barometer of public sentiment on the ACA and to determine if Twitter sentiment (the positivity or negativity of tweets) could be predictive of state-level marketplace enrollment. Methods We retrospectively collected 977,303 ACA-related tweets in March 2014 and then tested a correlation of Twitter sentiment with marketplace enrollment by state. Results A 0.10 increase in the sentiment score was associated with an 8.7% increase in enrollment at the state level (95% CI 1.32-16.13; P=.02), a correlation that remained significant when adjusting for state Medicaid expansion (P=.02) or use of a state-based marketplace (P=.03). Conclusions This correlation indicates Twitter’s potential as a real-time monitoring strategy for future marketplace enrollment periods; marketplaces could systematically track Twitter sentiment to more rapidly identify enrollment changes and potentially emerging issues. As a repository of free and accessible consumer-generated opinions, this study reveals a novel role for Twitter in the health policy landscape. PMID:25707038

  8. The Effect of Twitter on College Student Engagement and Grades

    Science.gov (United States)

    Junco, R.; Heiberger, G.; Loken, E.

    2011-01-01

    Despite the widespread use of social media by students and its increased use by instructors, very little empirical evidence is available concerning the impact of social media use on student learning and engagement. This paper describes our semester-long experimental study to determine if using Twitter--the microblogging and social networking…

  9. #Music Students: College Music Students' Twitter Use and Perceptions

    Science.gov (United States)

    Gooding, Lori F.; Yinger, Olivia Swedberg; Gregory, Dianne

    2016-01-01

    The purpose of the study was to investigate music education and music therapy majors' use of Twitter and their perceptions and knowledge related to policies and practices. Music majors (N = 238) from five universities in the Southeastern and Midwestern United States participated in a 16-question researcher-designed survey. Results indicated that…

  10. Dealing with big data: The case of Twitter

    NARCIS (Netherlands)

    Bosch, A.P.J. van den; Tjong Kim Sang, E.F.

    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 co

  11. #bully: Uses of Hashtags in Posts about Bullying on Twitter

    Science.gov (United States)

    Calvin, Angela J.; Bellmore, Amy; Xu, Jun-Ming; Zhu, Xiaojin

    2015-01-01

    To understand how bullying is represented within social media, the characteristics of hashtags associated with public mentions of bullying on Twitter between January 1, 2012 and December 31, 2012 are explored in this study. The most frequently used 500 hashtags among the 552,831 distinct hashtags used with the keywords "bully,"…

  12. The Usage Characteristics of Twitter in the Learning Process

    Science.gov (United States)

    Cohen, Anat; Duchan, Galit

    2012-01-01

    This research discusses the use of Twitter as a teaching-supporting tool in face to face (F2F) learning. The uniqueness and importance of this research is in the age group on which it focuses, an age group that has not yet been examined (ninth grade); furthermore, data was analyzed by decoding tweets, grouping tweets into various pedagogical and…

  13. Incorporating Twitter, Instagram, and Facebook in Economics Classrooms

    Science.gov (United States)

    Al-Bahrani, Abdullah; Patel, Darshak

    2015-01-01

    Social media is one of the most current and dynamic developments in education. In general, the field of economics has lagged behind other disciplines in incorporating technologies in the classroom. In this article, the authors provide a guide for economics educators on how to incorporate Twitter, Instagram, and Facebook inside and outside of the…

  14. Incorporating Twitter, Instagram, and Facebook in Economics Classrooms

    Science.gov (United States)

    Al-Bahrani, Abdullah; Patel, Darshak

    2015-01-01

    Social media is one of the most current and dynamic developments in education. In general, the field of economics has lagged behind other disciplines in incorporating technologies in the classroom. In this article, the authors provide a guide for economics educators on how to incorporate Twitter, Instagram, and Facebook inside and outside of the…

  15. Using Twitter to Increase Political Interest in Undergraduate Students

    Science.gov (United States)

    Caliendo, Stephen M.; Chod, Suzanne; Muck, William

    2016-01-01

    This study examines the impact of using Twitter in the classroom on student political efficacy, interest, and engagement. Millennials use the virtual world to build social relationships and to obtain information. By envisioning the virtual world as a means to increase civic engagement, political science instructors can use technology to draw upon…

  16. 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 co

  17. Twitter communication during 2014 flood in Malaysia: Informational or emotional?

    Science.gov (United States)

    Supian, Muhammad Nazirul Aiman Abu; Razak, Fatimah Abdul; Bakar, Sakhinah Abu

    2017-04-01

    Twitter has become one of the most important medium in spreading information due to its powerful capability reaching beyond the original tweet's follower. Not to mention, it is effective and easy to get viral especially during extreme events. The behaviour of information dissemination during a natural disaster, specifically flood has been an interest to this study. This paper examines the dynamics of social networks and the formation and evolution of Twitter communities in response to this event. A Twitter dataset of early days during 2014 flood in Malaysia were harnessed. The datasets were harnessed based on the keyword "banjir" in Malay which define as flood from 18 December 2014 until 31 December 2014. The analysis shows that the evolution of Twitter conversation during this range of time tends to focus on flood issue. We get to distinguish the informational and emotional tweets from the content analysis. The dynamics of these informational and emotional tweets are then analysed to observe information dissemination in the community. Emotional tweets are likely to be related to community concern and motivational support. Informational tweets are mostly about the flood condition from time to time, numbers of flood victims, and the flood relief from the government organization, aid organization and news organization.

  18. Modelling of trends in Twitter using retweet graph dynamics

    NARCIS (Netherlands)

    Ten Thij, Marijn; Ouboter, Tanneke; Worm, Daniël; Litvak, Nelly; Berg, van den Hans; Bhulai, Sandjai; Bonata, Anthony; Chung, Fan Chung; Pralat, Pawel

    2014-01-01

    In this paper we model user behaviour in Twitter to capture the emergence of trending topics. For this purpose, we first extensively analyse tweet datasets of several different events. In particular, for these datasets, we construct and investigate the retweet graphs. We find that the retweet graph

  19. Twitter and Facebook Open the Door to Collaboration

    Science.gov (United States)

    Huwe, Terence K.

    2012-01-01

    Building a social media profile itself is a rewarding experience for digital librarians, but there is another aspect to social media immersion, and it is a powerful tool for the profession. As librarians establish expert status in the use of popular tools such as Facebook, Twitter, Tumblr, and WordPress, they can add training and even product…

  20. #bully: Uses of Hashtags in Posts about Bullying on Twitter

    Science.gov (United States)

    Calvin, Angela J.; Bellmore, Amy; Xu, Jun-Ming; Zhu, Xiaojin

    2015-01-01

    To understand how bullying is represented within social media, the characteristics of hashtags associated with public mentions of bullying on Twitter between January 1, 2012 and December 31, 2012 are explored in this study. The most frequently used 500 hashtags among the 552,831 distinct hashtags used with the keywords "bully,"…

  1. The refraction chamber: Twitter as sphere and network

    NARCIS (Netherlands)

    Rieder, B.

    2012-01-01

    In this paper, we outline a study of the Twitter microblogging platform through a sample of French users. We discuss sampling methodology and compare three "issues" taken from the collected set of tweets. Based on the empirical findings we make a case for extending the notion of "information

  2. Contact Calls: Twitter as a Dialogic Social and Linguistic Practice

    Science.gov (United States)

    Gillen, Julia; Merchant, Guy

    2013-01-01

    The rapid adoption of new forms of digital communication is now attracting the attention of researchers from a wide range of disciplines in the social sciences. In the landscape of social media, the microblogging application Twitter has rapidly become an accepted feature of everyday life with a broad appeal. This paper, from a dual autoethnography…

  3. The Effect of Twitter on College Student Engagement and Grades

    Science.gov (United States)

    Junco, R.; Heiberger, G.; Loken, E.

    2011-01-01

    Despite the widespread use of social media by students and its increased use by instructors, very little empirical evidence is available concerning the impact of social media use on student learning and engagement. This paper describes our semester-long experimental study to determine if using Twitter--the microblogging and social networking…

  4. Career counseling in the new career era: A study about the influence of career types, career satisfaction and career management on the need for career counseling.

    OpenAIRE

    Forrier, Anneleen; Sels, Luc; Verbruggen, Marijke

    2005-01-01

    We investigate whether the perceived need for employer-independent career counseling differs between individuals according to their career type. We identify six different career types, basically varying in terms of career path and career aspirations: the bounded, boundaryless, staying, homeless, trapped and released career type. We investigate moreover (1) whether career satisfaction mediates the relationship between career types and the perceived need for career counseling and (2) whether th...

  5. Women's Career Development Patterns.

    Science.gov (United States)

    Schreiber, Pamela J.

    1998-01-01

    Women's career development is characterized by balance of work and family, career interruptions, and diverse career paths. Alternative work arrangements such as flexible schedules, telecommuting, and entrepreneurial opportunities may offer women more options for work. (SK)

  6. Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.

    Directory of Open Access Journals (Sweden)

    Eric M Clark

    Full Text Available Twitter has become the "wild-west" of marketing and promotional strategies for advertisement agencies. Electronic cigarettes have been heavily marketed across Twitter feeds, offering discounts, "kid-friendly" flavors, algorithmically generated false testimonials, and free samples.All electronic cigarette keyword related tweets from a 10% sample of Twitter spanning January 2012 through December 2014 (approximately 850,000 total tweets were identified and categorized as Automated or Organic by combining a keyword classification and a machine trained Human Detection algorithm. A sentiment analysis using Hedonometrics was performed on Organic tweets to quantify the change in consumer sentiments over time. Commercialized tweets were topically categorized with key phrasal pattern matching.The overwhelming majority (80% of tweets were classified as automated or promotional in nature. The majority of these tweets were coded as commercialized (83.65% in 2013, up to 33% of which offered discounts or free samples and appeared on over a billion twitter feeds as impressions. The positivity of Organic (human classified tweets has decreased over time (5.84 in 2013 to 5.77 in 2014 due to a relative increase in the negative words 'ban', 'tobacco', 'doesn't', 'drug', 'against', 'poison', 'tax' and a relative decrease in the positive words like 'haha', 'good', 'cool'. Automated tweets are more positive than organic (6.17 versus 5.84 due to a relative increase in the marketing words like 'best', 'win', 'buy', 'sale', 'health', 'discount' and a relative decrease in negative words like 'bad', 'hate', 'stupid', 'don't'.Due to the youth presence on Twitter and the clinical uncertainty of the long term health complications of electronic cigarette consumption, the protection of public health warrants scrutiny and potential regulation of social media marketing.

  7. Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.

    Science.gov (United States)

    Clark, Eric M; Jones, Chris A; Williams, Jake Ryland; Kurti, Allison N; Norotsky, Mitchell Craig; Danforth, Christopher M; Dodds, Peter Sheridan

    2016-01-01

    Twitter has become the "wild-west" of marketing and promotional strategies for advertisement agencies. Electronic cigarettes have been heavily marketed across Twitter feeds, offering discounts, "kid-friendly" flavors, algorithmically generated false testimonials, and free samples. All electronic cigarette keyword related tweets from a 10% sample of Twitter spanning January 2012 through December 2014 (approximately 850,000 total tweets) were identified and categorized as Automated or Organic by combining a keyword classification and a machine trained Human Detection algorithm. A sentiment analysis using Hedonometrics was performed on Organic tweets to quantify the change in consumer sentiments over time. Commercialized tweets were topically categorized with key phrasal pattern matching. The overwhelming majority (80%) of tweets were classified as automated or promotional in nature. The majority of these tweets were coded as commercialized (83.65% in 2013), up to 33% of which offered discounts or free samples and appeared on over a billion twitter feeds as impressions. The positivity of Organic (human) classified tweets has decreased over time (5.84 in 2013 to 5.77 in 2014) due to a relative increase in the negative words 'ban', 'tobacco', 'doesn't', 'drug', 'against', 'poison', 'tax' and a relative decrease in the positive words like 'haha', 'good', 'cool'. Automated tweets are more positive than organic (6.17 versus 5.84) due to a relative increase in the marketing words like 'best', 'win', 'buy', 'sale', 'health', 'discount' and a relative decrease in negative words like 'bad', 'hate', 'stupid', 'don't'. Due to the youth presence on Twitter and the clinical uncertainty of the long term health complications of electronic cigarette consumption, the protection of public health warrants scrutiny and potential regulation of social media marketing.

  8. Networks of digital humanities scholars: The informational and social uses and gratifications of Twitter

    CERN Document Server

    Quan-Haase, Anabel; McCay-Peet, Lori

    2015-01-01

    Big data research is currently split on whether and to what extent Twitter can be characterised as an informational or social network. We contribute to this line of inquiry through an investigation of digital humanities scholars' uses and gratifications of Twitter. We conducted a thematic analysis of 25 semistructured interview transcripts to learn about these scholars' professional use of Twitter. Our findings show that Twitter is considered a critical tool for informal communication within DH invisible colleges, functioning at varying levels as both an informational network (learning to 'Twitter' and maintaining awareness) and a social network (imagining audiences and engaging other digital humanists). We find that Twitter follow relationships reflect common academic interests and are closely tied to scholars' preexisting social ties and conference or event co-attendance. The concept of the invisible college continues to be relevant but requires revisiting. The invisible college formed on Twitter is messy, ...

  9. Twitter as an informal learning space for teachers!? : The role of social capital in Twitter conversations among teachers

    NARCIS (Netherlands)

    Rehm, Martin; Notten, Ad

    2016-01-01

    Twitter can contribute to the continuous professional development of teachers by initiating and fostering informal learning. Social capital theory can aid to analyze the underlying communication processes and outcomes. Yet, previous research has largely neglected teachers and the role of social capi

  10. Twitter as an informal learning space for teachers!? : The role of social capital in Twitter conversations among teachers

    NARCIS (Netherlands)

    Rehm, Martin; Notten, Ad

    2016-01-01

    Twitter can contribute to the continuous professional development of teachers by initiating and fostering informal learning. Social capital theory can aid to analyze the underlying communication processes and outcomes. Yet, previous research has largely neglected teachers and the role of social capi

  11. Museums and Twitter: An Exploratory Qualitative Study of How Museums Use Twitter for Audience Development and Engagement

    Science.gov (United States)

    Osterman, Mark; Thirunarayanan, M.; Ferris, Elizabeth C.; Pabon, Lizette C.; Paul, Natalie; Berger, Rhonda

    2012-01-01

    Museums are competing with a vast variety of Internet-based information delivery sites to keep the public interested in their institutions. To keep pace Museums are increasingly turning to the use of Web 2.0 tools to draw in the public and maintain a standing as cultural and educational leaders. Several museums have started using Twitter. This…

  12. Airport Careers. Aviation Careers Series. Revised.

    Science.gov (United States)

    Zaharevitz, Walter

    This booklet, one in a series on aviation careers, outlines the variety of careers available in airports. The first part of the booklet provides general information about careers at airports, while the main part of the booklet outlines the following nine job categories: airport director, assistant airport director, engineers, support personnel,…

  13. Airline Careers. Aviation Careers Series. Revised.

    Science.gov (United States)

    Zaharevitz, Walter

    This booklet, one in a series on aviation careers, outlines the variety of careers available in airlines. The first part of the booklet provides general information about careers in the airline industry, including salaries, working conditions, job requirements, and projected job opportunities. In the main part of the booklet, the following 22 job…

  14. Career competencies for the modern career

    NARCIS (Netherlands)

    Kuijpers, M.A.C.T.; Scheerens, J.

    2006-01-01

    Career development gains new meaning in the context of employability demands in a knowledge economy. In this context, increased mobility, a dynamic work environment, and an increased level of career support from employers are seen as characteristics of a modern career. All of these characteristics p

  15. Career competencies for the modern career

    NARCIS (Netherlands)

    Kuijpers, Marinka; Scheerens, Jaap

    2006-01-01

    Career development gains new meaning in the context of employability demands in a knowledge economy. In this context, increased mobility, a dynamic work environment, and an increased level of career support from employers are seen as characteristics of a modern career. All of these characteristics

  16. Twitter Seismology: Earthquake Monitoring and Response in a Social World

    Science.gov (United States)

    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

  17. Twitter Activity Associated With US News and World Report Reputation Scores for Urology Departments.

    Science.gov (United States)

    Ciprut, Shannon; Curnyn, Caitlin; Davuluri, Meena; Sternberg, Kevan; Loeb, Stacy

    2017-06-29

    To analyze the association between US urology department Twitter presence and U.S. News and World Report (USNWR) reputation scores, to examine the content, informational value, and intended audience of these platforms, and to identify objectives for Twitter use. We identified Twitter accounts for urology departments scored in the 2016-2017 USNWR. Correlation coefficients were calculated between Twitter metrics (number of followers, following, tweets, and Klout influence scores) with USNWR reputation scores. We also performed a detailed content analysis of urology department tweets during a 6-month period to characterize the content. Finally, we distributed a survey to the urology department accounts via Twitter, inquiring who administers the content, and their objectives for Twitter use. Among 42 scored urology departments with Twitter accounts, the median number of followers, following, and tweets were 337, 193, and 115, respectively. All of these Twitter metrics had a statistically significant positive correlation with reputation scores (P reputation, and urologists are considered the most important target audience. There is statistically significant correlation between Twitter activity and USNWR reputation scores for urology departments. Our results suggest that Twitter provides a novel mechanism for urology departments to communicate about academic and educational topics, and social media engagement can enhance reputation. Copyright © 2017 Elsevier Inc. All rights reserved.

  18. Primary school children's communication experiences with Twitter: a case study from Turkey.

    Science.gov (United States)

    Gunuc, Selim; Misirli, Ozge; Odabasi, H Ferhan

    2013-06-01

    This case study examines the utilization of Twitter as a communication channel among primary school children. This study tries to answer the following questions: "What are the cases for primary school children's use of Twitter for communication?" and "What are primary school children's experiences of utilizing Twitter for communication?" Participants were 7th grade students (17 female, 34 male; age 13 years) studying in a private primary school in Turkey within the 2011-12 academic year. A questionnaire, semi-structured interview, document analysis, and open ended questions were used as data collection tools. The children were invited and encouraged to use Twitter for communication. Whilst participants had some minor difficulties getting accustomed to Twitter, they managed to use Twitter for communication, a conclusion drawn from the children's responses and tweets within the study. However, the majority of children did not consider Twitter as a communication tool, and were observed to quit using Twitter once the study had ended. They found Twitter unproductive and restrictive for communication. Furthermore, Twitter's low popularity among adolescents was also a problem. This study suggests that social networking tools favored by children should be integrated into educational settings in order to maximize instructional benefits for primary school children and adolescents.

  19. LGBT Career Development

    Science.gov (United States)

    Gedro, Julie

    2007-01-01

    In this paper, I would like to open a conversation with my HRD colleagues about the issues related to Lesbian, Gay, Bisexual and Transgender (LGBT) career development. This paper provides some insights about LGBT career development, analyzing the factors that distinguish LGBT career development from heterosexual career development.

  20. Fame for sale: Efficient detection of fake Twitter followers

    DEFF Research Database (Denmark)

    Cresci, Stefano; Di Pietro, Roberto; Petrocchi, Marinella;

    2015-01-01

    Fake followers are those Twitter accounts specifically created to inflate the number of followers of a target account. Fake followers are dangerous for the social platform and beyond, since they may alter concepts like popularity and influence in the Twittersphere - hence impacting on economy......, politics, and society. In this paper, we contribute along different dimensions. First, we review some of the most relevant existing features and rules (proposed by Academia and Media) for anomalous Twitter accounts detection. Second, we create a baseline dataset of verified human and fake follower accounts....... Such baseline dataset is publicly available to the scientific community. Then, we exploit the baseline dataset to train a set of machine-learning classifiers built over the reviewed rules and features. Our results show that most of the rules proposed by Media provide unsatisfactory performance in revealing fake...

  1. Pre-processing Tasks in Indonesian Twitter Messages

    Science.gov (United States)

    Hidayatullah, A. F.; Ma’arif, M. R.

    2017-01-01

    Twitter text messages are very noisy. Moreover, tweet data are unstructured and complicated enough. The focus of this work is to investigate pre-processing technique for Twitter messages in Bahasa Indonesia. The main goal of this experiment is to clean the tweet data for further analysis. Thus, the objectives of this pre-processing task is simply removing all meaningless character and left valuable words. In this research, we divide our proposed pre-processing experiments into two parts. The first part is common pre-processing task. The second part is a specific pre-processing task for tweet data. From the experimental result we can conclude that by employing a specific pre-processing task related to tweet data characteristic we obtained more valuable result. The result obtained is better in terms of less meaningful word occurrence which is not significant in number comparing to the result obtained by just running common pre-processing tasks.

  2. Climate change sentiment on Twitter: An unsolicited public opinion poll

    CERN Document Server

    Cody, Emily M; Mitchell, Lewis; Dodds, Peter Sheridan; Danforth, Christopher M

    2015-01-01

    The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque for the public to understand. Social media, however, is a forum where individuals of diverse backgrounds can share their thoughts and opinions. As consumption shifts from old media to new, Twitter has become a valuable resource for analyzing current events and headline news. In this research, we analyze tweets containing the word "climate" collected between September 2008 and July 2014. We determine how collective sentiment varies in response to climate change news, events, and natural disasters. Words uncovered by our analysis suggest that responses to climate change news are predominately from climate change activists rather than climate change deniers, indicating that Twitter is a valuable resource for the spread of climate change awareness.

  3. 'Schizophrenia' on Twitter: Content Analysis of Greek Language Tweets.

    Science.gov (United States)

    Athanasopoulou, Christina; Sakellari, Evanthia

    2016-01-01

    Twitter is an online space whose users can create and share ideas and information instantly. The term schizophrenia is frequently used in a stigmatizing way in Greek language. In Greece, Twitter is the tenth most popular website. Tweets related to schizophrenia in Greek language, have not been investigated. We aimed to examine schizophrenia Tweets in comparison with other illness (diabetes). Deductive content analysis was applied. Schizophrenia Tweets (n=239), tended to be more negative, medically inappropriate, sarcastic, and used non-medically than diabetes Tweets (n=205). Our findings confirm the frequent, non-medical misuse of the term 'schizophrenia' in online sources written in Greek language. These results show that mental health education interventions are needed to raise awareness among the general population, in order to eliminate stigmatizing behaviors. Future anti-stigma actions, could also raise awareness among Internet users about the importance of, avoiding using medical terms in negative or sarcastic ways, and eliminate any potential stigmatizing content.

  4. Network structure and patterns of information diversity on Twitter

    CERN Document Server

    Shore, Jesse; Dellarocas, Chrysanthos

    2016-01-01

    Social media have great potential to support diverse information sharing, but there is widespread concern that platforms like Twitter do not result in communication between those who hold contradictory viewpoints. Because users can choose whom to follow, prior research suggests that social media users exist in 'echo chambers' or become polarized. We seek evidence of this in a complete cross section of hyperlinks posted on Twitter, using previously validated measures of the political slant of news sources to study information diversity. Contrary to prediction, we find that the average account posts links to more politically moderate news sources than the ones they receive in their own feed. However, members of a tiny network core do exhibit cross-sectional evidence of polarization and are responsible for the majority of tweets received overall due to their popularity and activity, which could explain the widespread perception of polarization on social media.

  5. A Systematic Identification and Analysis of Scientists on Twitter

    CERN Document Server

    Ke, Qing; Sugimoto, Cassidy R

    2016-01-01

    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 be easily adapted to identify other stakeholder groups in science. We investigate the demographics, sharing behaviors, and interconnectivity of the identified scientists. 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 ...

  6. Social Noise: Generating Random Numbers from Twitter Streams

    Science.gov (United States)

    Fernández, Norberto; Quintas, Fernando; Sánchez, Luis; Arias, Jesús

    2015-12-01

    Due to the multiple applications of random numbers in computer systems (cryptography, online gambling, computer simulation, etc.) it is important to have mechanisms to generate these numbers. True Random Number Generators (TRNGs) are commonly used for this purpose. TRNGs rely on non-deterministic sources to generate randomness. Physical processes (like noise in semiconductors, quantum phenomenon, etc.) play this role in state of the art TRNGs. In this paper, we depart from previous work and explore the possibility of defining social TRNGs using the stream of public messages of the microblogging service Twitter as randomness source. Thus, we define two TRNGs based on Twitter stream information and evaluate them using the National Institute of Standards and Technology (NIST) statistical test suite. The results of the evaluation confirm the feasibility of the proposed approach.

  7. InfluenceTracker: Rating the impact of a Twitter account

    OpenAIRE

    Razis, Gerasimos; Anagnostopoulos, Ioannis

    2014-01-01

    Part 2: MHDW Workshop; International audience; This paper describes a methodology for rating the influence of a Twitter account in this famous microblogging service. Then it is evaluated over real accounts, under the belief that influence is not only a matter of quantity (amount of followers), but also a mixture of quality measures that reflect interaction, awareness, and visibility in the social sphere. The authors of this paper have created “InfluenceTracker”, a publicly available website w...

  8. The Measles Vaccination Narrative in Twitter: A Quantitative Analysis

    OpenAIRE

    Radzikowski, Jacek; Stefanidis, Anthony; Jacobsen, Kathryn H; Croitoru, Arie; Crooks, Andrew; Delamater, Paul L

    2016-01-01

    Background The emergence of social media is providing an alternative avenue for information exchange and opinion formation on health-related issues. Collective discourse in such media leads to the formation of a complex narrative, conveying public views and perceptions. Objective This paper presents a study of Twitter narrative regarding vaccination in the aftermath of the 2015 measles outbreak, both in terms of its cyber and physical characteristics. We aimed to contribute to the analysis of...

  9. Local Health Departments’ Use of Twitter

    Centers for Disease Control (CDC) Podcasts

    2013-05-02

    This podcast is an interview with Jenine K. Harris, PhD, from the Brown School at Washington University in St. Louis, MO, about local health departments’ use of Twitter to disseminate diabetes information.  Created: 5/2/2013 by Preventing Chronic Disease (PCD), National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP).   Date Released: 5/2/2013.

  10. 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.

  11. 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.

  12. Worldlex: Twitter and blog word frequencies for 66 languages.

    Science.gov (United States)

    Gimenes, Manuel; New, Boris

    2016-09-01

    Lexical frequency is one of the strongest predictors of word processing time. The frequencies are often calculated from book-based corpora, or more recently from subtitle-based corpora. We present new frequencies based on Twitter, blog posts, or newspapers for 66 languages. We show that these frequencies predict lexical decision reaction times similar to the already existing frequencies, or even better than them. These new frequencies are freely available and may be downloaded from http://worldlex.lexique.org .

  13. Life Satisfaction and the Pursuit of Happiness on Twitter

    OpenAIRE

    Chao Yang; Padmini Srinivasan

    2016-01-01

    Life satisfaction refers to a somewhat stable cognitive assessment of one's own life. Life satisfaction is an important component of subjective well being, the scientific term for happiness. The other component is affect: the balance between the presence of positive and negative emotions in daily life. While affect has been studied using social media datasets (particularly from Twitter), life satisfaction has received little to no attention. Here, we examine trends in posts about life satisfa...

  14. Movember: Twitter Conversations of a Hairy Social Movement

    Directory of Open Access Journals (Sweden)

    Jenna Jacobson

    2016-04-01

    Full Text Available Movember is an annual “month-long celebration of the moustache” where men grow a mustache and raise money in the largest philanthropic endeavor for men’s health. Movember is predominantly an online campaign, and consequently, participants have actively embraced social media; this is evidenced in the 1,879,994 tweets collected during Movember 2012 in this research project. This article presents an analysis of Movember that examines how individuals use the numerous syntactical features of Twitter to engage in conversation and share information in order to develop a nuanced understanding of how people are utilizing social media as part of the social movement. While Movember has been successful in gaining traction on social media, the Twitter data point to surprising conclusions that have implications for understanding non-profits and social movements online. The following study provides two main contributions to existing sociotechnical social movement literature using a mixed-methods approach. First, the findings suggest that there is limited true conversation taking place although the stated purpose of the campaign is to facilitate conversation. Second, the findings identify that participants are more engaged with Movember as a branded movement than engaged in health promotion. While the tweets are conversational in form, they are largely not conversational in function, which points to Twitter being used as a broadcast tool in this context. These findings have broad implications for understanding how social media is used to engage individuals in social campaigns and engage with each other and share information.

  15. An Academic Healthcare Twitter Account: The Mayo Clinic Experience.

    Science.gov (United States)

    Widmer, R Jay; Engler, Nicole B; Geske, Jeffrey B; Klarich, Kyle W; Timimi, Farris K

    2016-06-01

    With more than 300 million monthly active users, Twitter is a powerful social media tool in healthcare, yet the characterization of an academic healthcare Twitter account remains poor to date. We assessed basic gender and geographic data on the account's "followers," as well as categorization of each tweet based on content type. We analyzed the impressions, engagements, retweets, favorites, replies, hashtag clicks, and detail expansions using both Sprinklr and Twitter Analytics. Over a period of 12 months, the account amassed 1,235 followers, with 54 percent being male and 68 percent residing in the United States. Of the 1,635 tweets sent out over the life of the account, we report more than 382,464 impressions, 6,023 engagements, 1,255 retweets, 776 favorites, and 1,654 embedded media clicks in this period. When broken down by tweet category, publication tweets garnered the highest engagement with an estimated mean number of clicks per tweet of 8.2 ± 81.9. Original content had higher total engagement per tweet than retweeted material (2.8 ± 9.2 vs. 0.2 ± 0.9 engagements per tweet; p importance of combining physician-led knowledge with intermittent marketing messages.

  16. Predicting election trends with Twitter: Hillary Clinton versus Donald Trump

    CERN Document Server

    Bovet, Alexandre; Makse, Hernan A

    2016-01-01

    Forecasting opinion trends from real-time social media is the long-standing goal of modern-day big-data analytics. Despite its importance, there has been no conclusive scientific evidence so far that social media activity can capture the opinion of the general population at large. Here we develop analytic tools combining statistical physics of complex networks, percolation theory, natural language processing and machine learning classification to infer the opinion of Twitter users regarding the candidates of the 2016 US Presidential Election. Using a large-scale dataset of 73 million tweets collected from June 1st to September 1st 2016, we investigate the temporal social networks formed by the interactions among millions of Twitter users. We infer the support of each user to the presidential candidates and show that the resulting Twitter trends follow the New York Times National Polling Average, which represents an aggregate of hundreds of independent traditional polls, with remarkable accuracy (r=0.9). More ...

  17. Exploiting Language Models to Classify Events from Twitter

    Directory of Open Access Journals (Sweden)

    Duc-Thuan Vo

    2015-01-01

    Full Text Available Classifying events is challenging in Twitter because tweets texts have a large amount of temporal data with a lot of noise and various kinds of topics. In this paper, we propose a method to classify events from Twitter. We firstly find the distinguishing terms between tweets in events and measure their similarities with learning language models such as ConceptNet and a latent Dirichlet allocation method for selectional preferences (LDA-SP, which have been widely studied based on large text corpora within computational linguistic relations. The relationship of term words in tweets will be discovered by checking them under each model. We then proposed a method to compute the similarity between tweets based on tweets’ features including common term words and relationships among their distinguishing term words. It will be explicit and convenient for applying to k-nearest neighbor techniques for classification. We carefully applied experiments on the Edinburgh Twitter Corpus to show that our method achieves competitive results for classifying events.

  18. 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.

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

    Directory of Open Access Journals (Sweden)

    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.

  20. 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.

  1. Characterizing the 2016 U.S. Presidential Campaign using Twitter Data

    Directory of Open Access Journals (Sweden)

    Ignasi Vegas

    2016-10-01

    Full Text Available This paper models the 2016 U.S. presidential campaign in the context of Twitter. The study analyzes the presidential candidates’ Twitter activity by crawling their real-time tweets. More than 16,000 tweets were observed in this work. We study the interactions between the politicians and their Twitter followers in the retweet and favorite networks. The most frequently mentioned unigrams are presented, which serve the best featuring the political focuses of a candidate. The mention network among the politicians was constructed by parsing the content of their tweets. In this paper, we also study the Twitter profile of the users who follow the presidential candidates. The gender ratio among the Twitter subscribers is examined using the government’s census data. We also investigate the geography of Twitter supporters for each candidate.

  2. 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.

  3. On the Potential of Twitter for Understanding the Tunisia of the Post-Arab Spring

    OpenAIRE

    Akin, Meriem Ben-Salah

    2014-01-01

    Micro-blogging through Twitter has made information short and to the point, and more importantly systematically searchable. This work is the first of a series in which quotidian observations about Tunisia are obtained using the micro-blogging site Twitter. Data was extracted using the open source Twitter API v1.1. Specific tweets were obtained using functional search operators in particular thematic hash tags, geo-location, date, time and language. The presence of Tunisia in the international...

  4. Scientific literature on Twitter as subject research : preliminary findings based on bibliometric analysis

    OpenAIRE

    Fausto, Sibele; Aventurier, Pascal

    2015-01-01

    Background and purpose[br/] [br/] Since its launch in 2006, Internet platform Twitter has rapidly expanded. Despite being behind services like Facebook (1.3 billion active users) and WhatsApp (500 million), this platform currently has about 284 million active users worldwide, with 500 million Tweets being sent out every day, in more than 35 different languages (Twitter, 2015). In 2014 the eMarketer Consultancy predicted that Twitter should reach 300 million monthly active users by 2016,...

  5. Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter

    Science.gov (United States)

    Jones, Chris A.; Williams, Jake Ryland; Kurti, Allison N.; Norotsky, Mitchell Craig; Danforth, Christopher M.; Dodds, Peter Sheridan

    2016-01-01

    Background Twitter has become the “wild-west” of marketing and promotional strategies for advertisement agencies. Electronic cigarettes have been heavily marketed across Twitter feeds, offering discounts, “kid-friendly” flavors, algorithmically generated false testimonials, and free samples. Methods All electronic cigarette keyword related tweets from a 10% sample of Twitter spanning January 2012 through December 2014 (approximately 850,000 total tweets) were identified and categorized as Automated or Organic by combining a keyword classification and a machine trained Human Detection algorithm. A sentiment analysis using Hedonometrics was performed on Organic tweets to quantify the change in consumer sentiments over time. Commercialized tweets were topically categorized with key phrasal pattern matching. Results The overwhelming majority (80%) of tweets were classified as automated or promotional in nature. The majority of these tweets were coded as commercialized (83.65% in 2013), up to 33% of which offered discounts or free samples and appeared on over a billion twitter feeds as impressions. The positivity of Organic (human) classified tweets has decreased over time (5.84 in 2013 to 5.77 in 2014) due to a relative increase in the negative words ‘ban’, ‘tobacco’, ‘doesn’t’, ‘drug’, ‘against’, ‘poison’, ‘tax’ and a relative decrease in the positive words like ‘haha’, ‘good’, ‘cool’. Automated tweets are more positive than organic (6.17 versus 5.84) due to a relative increase in the marketing words like ‘best’, ‘win’, ‘buy’, ‘sale’, ‘health’, ‘discount’ and a relative decrease in negative words like ‘bad’, ‘hate’, ‘stupid’, ‘don’t’. Conclusions Due to the youth presence on Twitter and the clinical uncertainty of the long term health complications of electronic cigarette consumption, the protection of public health warrants scrutiny and potential regulation of social media

  6. 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.

  7. 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.

  8. A Smoking Cessation Campaign on Twitter: Understanding the Use of Twitter and Identifying Major Players in a Health Campaign.

    Science.gov (United States)

    Chung, Jae Eun

    2016-05-01

    The current study examined the use of online social media for a health campaign. Collecting tweets (N = 1,790) about the recent smoking cessation campaign by the Centers for Disease Control and Prevention, the current study investigated the dissemination of health campaign messages on Twitter and answered questions from the process evaluation of health campaigns: who tweeted about the campaign, who played central roles in disseminating health campaign messages, and how various features of Twitter were used for sharing of campaign messages. Results showed that individuals and nonprofit organizations posted frequently about the campaign: Individuals and nonprofit organizations posted about 40% and 30% of campaign-related tweets, respectively. Although the campaign under investigation was steered by a government agency, nonprofit organizations played a vital role as mediators who disseminated campaign messages. The culture of retweeting demonstrated its particular usefulness for the dissemination of campaign messages. Despite the expectation that the use of social media would expand opportunities for engagement, actual two-way interactions were few or minimal. Drawn from the results, practical suggestions on how to strategize the use of Twitter for future health campaigns are discussed.

  9. The third wheel: the impact of Twitter use on relationship infidelity and divorce.

    Science.gov (United States)

    Clayton, Russell B

    2014-07-01

    The purpose of this study was to examine how social networking site (SNS) use, specifically Twitter use, influences negative interpersonal relationship outcomes. This study specifically examined the mediational effect of Twitter-related conflict on the relationship between active Twitter use and negative relationship outcomes, and how this mechanism may be contingent on the length of the romantic relationship. A total of 581 Twitter users aged 18 to 67 years (Mage=29, SDage=8.9) completed an online survey questionnaire. Moderation-mediation regression analyses using bootstrapping methods indicated that Twitter-related conflict mediated the relationship between active Twitter use and negative relationship outcomes. The length of the romantic relationship, however, did not moderate the indirect effect on the relationship between active Twitter use and negative relationship outcomes. The results from this study suggest that active Twitter use leads to greater amounts of Twitter-related conflict among romantic partners, which in turn leads to infidelity, breakup, and divorce. This indirect effect is not contingent on the length of the romantic relationship. The current study adds to the growing body of literature investigating SNS use and romantic relationship outcomes.

  10. 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

  11. The career distress scale

    DEFF Research Database (Denmark)

    Creed, Peter; Hood, Michelle; Praskova, Anna

    2016-01-01

    Career distress is a common and painful outcome of many negative career experiences, such as career indecision, career compromise, and discovering career barriers. However, there are very few scales devised to assess career distress, and the two existing scales identified have psychometric...... weaknesses. The absence of a practical, validated scale to assess this construct restricts research related to career distress and limits practitioners who need to assess and treat it. Using a sample of 226 young adults (mean age 20.5 years), we employed item response theory to assess 12 existing career......, which we combined into a scale labelled the Career Distress Scale, demonstrated excellent psychometric properties, meaning that both researchers and practitioners can use it with confidence, although continued validation is required, including testing its relationship to other nomological net variables...

  12. Applications of Motivational Interviewing in Career Counseling: Facilitating Career Transition

    Science.gov (United States)

    Stoltz, Kevin B.; Young, Tabitha L.

    2013-01-01

    The Protean and Boundaryless career paradigms are calling for new ways to provide career counseling to clients. Career counselors need methods for facilitating client's career transition across all stages of career development. This facilitation requires career counselors to be armed with methods for promoting client's autonomy,…

  13. The Relationship between Disability Status, Career Beliefs, and Career Indecision.

    Science.gov (United States)

    Enright, Mary Schaefer

    1996-01-01

    Tests two hypotheses: (1) career beliefs are related to career indecision, and (2) disability status influences the relationship between career beliefs and career indecision. Results yielded significant correlations between self-doubting career beliefs and career indecision, suggesting that disability may limit an individual's opportunity to…

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

    Science.gov (United States)

    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 correlation between disease mentions and prevalence of .208 ( P correlation to .366 ( P <.001). Compared with prevalence rates, cancer appeared most overrepresented in Twitter, whereas high cholesterol appeared most underrepresented. Conclusions Twitter is a potentially useful tool to measure public interest in and concerns about different diseases, but when comparing diseases, improvements can be made by adjusting for population demographics and word ambiguity. PMID:26925459

  15. The Source and Credibility of Colorectal Cancer Information on Twitter.

    Science.gov (United States)

    Park, SoHyun; Oh, Heung-Kwon; Park, Gibeom; Suh, Bongwon; Bae, Woo Kyung; Kim, Jin Won; Yoon, Hyuk; Kim, Duck-Woo; Kang, Sung-Bum

    2016-02-01

    Despite the rapid penetration of social media in modern life, there has been limited research conducted on whether social media serves as a credible source of health information. In this study, we propose to identify colorectal cancer information on Twitter and assess its informational credibility. We collected Twitter messages containing colorectal cancer-related keywords, over a 3-month period. A review of sample tweets yielded content and user categorization schemes. The results of the sample analysis were applied to classify all collected tweets and users, using a machine learning technique. The credibility of the information in the sampled tweets was evaluated. A total of 76,119 tweets were analyzed. Individual users authored the majority of tweets (n = 68,982, 90.6%). They mostly tweeted about news articles/research (n = 16,761, 22.0%) and risk/prevention (n = 14,767, 19.4%). Medical professional users generated only 2.0% of total tweets (n = 1509), and medical institutions rarely tweeted (n = 417, 0.6%). Organizations tended to tweet more about information than did individuals (85.2% vs 63.1%; P Credibility analysis of medically relevant sample tweets revealed that most were medically correct (n = 1763, 84.5%). Among those, more frequently retweeted tweets contained more medically correct information than randomly selected tweets (90.7% vs 83.2%; P information from a large number and variety of users. Coupled with the Internet's potential to increase social support, Twitter may contribute to enhancing public health and empowering users, when used with proper caution.

  16. 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.

  17. Geovisual Analytics Approach to Exploring Public Political Discourse on Twitter

    Directory of Open Access Journals (Sweden)

    Jonathan K. Nelson

    2015-03-01

    Full Text Available We introduce spatial patterns of Tweets visualization (SPoTvis, a web-based geovisual analytics tool for exploring messages on Twitter (or “tweets” collected about political discourse, and illustrate the potential of the approach with a case study focused on a set of linked political events in the United States. In October 2013, the U.S. Congressional debate over the allocation of funds to the Patient Protection and Affordable Care Act (commonly known as the ACA or “Obamacare” culminated in a 16-day government shutdown. Meanwhile the online health insurance marketplace related to the ACA was making a public debut hampered by performance and functionality problems. Messages on Twitter during this time period included sharply divided opinions about these events, with many people angry about the shutdown and others supporting the delay of the ACA implementation. SPoTvis supports the analysis of these events using an interactive map connected dynamically to a term polarity plot; through the SPoTvis interface, users can compare the dominant subthemes of Tweets in any two states or congressional districts. Demographic attributes and political information on the display, coupled with functionality to show (dissimilar features, enrich users’ understandings of the units being compared. Relationships among places, politics and discourse on Twitter are quantified using statistical analyses and explored visually using SPoTvis. A two-part user study evaluates SPoTvis’ ability to enable insight discovery, as well as the tool’s design, functionality and applicability to other contexts.

  18. A Content Analysis of Vaping Advertisements on Twitter, November 2014.

    Science.gov (United States)

    Sowles, Shaina J; Krauss, Melissa J; Connolly, Sarah; Cavazos-Rehg, Patricia A

    2016-09-29

    Vaping has increased in popularity, and the potential harms and benefits are largely unknown. Vaping-related advertising is expected to grow as the vaping industry grows; people are exposed primarily to vaping advertisements on the Internet, and Twitter is an especially popular social medium among young people. The primary objective of our study was to describe the characteristics of vaping-related advertisements on Twitter. We collected data on 403,079 English-language tweets that appeared during November 2014 and contained vaping-related keywords. Using crowdsourcing services, we identified vaping-related advertisements in a random sample of 5,000 tweets. The advertisement tweets were qualitatively coded for popular marketing tactics by our research team. We also inferred the demographic characteristics of followers of 4 Twitter handles that advertised various novel vape products. The random sample of 5,000 vaping-related tweets included 1,156 (23%) advertisement tweets that were further analyzed. Vape pens were advertised in nearly half of the advertisement tweets (47%), followed by e-juice (21%), which commonly mentioned flavors (42%). Coupons or price discounts were frequently observed (32%); only 3% of tweets mentioned vaping as a way to quit smoking or as an alternative to smoking. One handle had a disproportionately high percentage of racial/ethnic minority followers. Vaping poses a threat to smoking prevention progress, and it is important for those in tobacco control to understand and counter the tactics used by vaping companies to entice their consumers, especially on social media where young people can easily view the content.

  19. A Content Analysis of Vaping Advertisements on Twitter, November 2014

    Science.gov (United States)

    Krauss, Melissa J.; Connolly, Sarah; Cavazos-Rehg, Patricia A.

    2016-01-01

    Introduction Vaping has increased in popularity, and the potential harms and benefits are largely unknown. Vaping-related advertising is expected to grow as the vaping industry grows; people are exposed primarily to vaping advertisements on the Internet, and Twitter is an especially popular social medium among young people. The primary objective of our study was to describe the characteristics of vaping-related advertisements on Twitter. Methods We collected data on 403,079 English-language tweets that appeared during November 2014 and contained vaping-related keywords. Using crowdsourcing services, we identified vaping-related advertisements in a random sample of 5,000 tweets. The advertisement tweets were qualitatively coded for popular marketing tactics by our research team. We also inferred the demographic characteristics of followers of 4 Twitter handles that advertised various novel vape products. Results The random sample of 5,000 vaping-related tweets included 1,156 (23%) advertisement tweets that were further analyzed. Vape pens were advertised in nearly half of the advertisement tweets (47%), followed by e-juice (21%), which commonly mentioned flavors (42%). Coupons or price discounts were frequently observed (32%); only 3% of tweets mentioned vaping as a way to quit smoking or as an alternative to smoking. One handle had a disproportionately high percentage of racial/ethnic minority followers. Conclusion Vaping poses a threat to smoking prevention progress, and it is important for those in tobacco control to understand and counter the tactics used by vaping companies to entice their consumers, especially on social media where young people can easily view the content. PMID:27685432

  20. Comparison of Machine Learning Approaches on Arabic Twitter Sentiment Analysis

    Directory of Open Access Journals (Sweden)

    Merfat.M. Altawaier

    2016-12-01

    Full Text Available With the dramatic expansion of information over internet, users around the world express their opinion daily on the social network such as Facebook and Twitter. Large corporations nowadays invest on analyzing these opinions in order to assess their products or services by knowing the people feedback toward such business. The process of knowing users’ opinions toward particular product or services whether positive or negative is called sentiment analysis. Arabic is one of the common languages that have been addressed regarding sentiment analysis. In the literature, several approaches have been proposed for Arabic sentiment analysis and most of these approaches are using machine learning techniques. Machine learning techniques are various and have different performances. Therefore, in this study, we try to identifying a simple, but workable approach for Arabic sentiment analysis on Twitter. Hence, this study aims to investigate the machine learning technique in terms of Arabic sentiment analysis on Twitter. Three techniques have been used including Naïve Bayes, Decision Tree (DT and Support Vector Machine (SVM. In addition, two simple sub-tasks pre-processing have been also used; Term Frequency-Inverse Document Frequency (TF-IDF and Arabic stemming to get the heaviest weight term as the feature for tweet classification. TF-IDF aims to identify the most frequent words, whereas stemming aims to retrieve the stem of the word by removing the inflectional derivations. The dataset that has been used is Modern Arabic Corpus which consists of Arabic tweets. The performance of classification has been evaluated based on the information retrieval metrics precision, recall and f-measure. The experimental results have shown that DT has outperformed the other techniques by obtaining 78% of f-measure.

  1. 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

  2. CareerConnector

    Data.gov (United States)

    US Agency for International Development — CareerConnector is USAID's premiere recruiting tool. It is powered by Monster and integrated with www.usajobs.gov. CareerConnector tracks the progression of a...

  3. Goodbye Career, Hello Success.

    Science.gov (United States)

    Komisar, Randy

    2000-01-01

    Success in today's economy means throwing out the old career rules. The "noncareer" career is driven by passion for the work and has the fluidity and flexibility needed in the contemporary workplace. (JOW)

  4. Goodbye Career, Hello Success.

    Science.gov (United States)

    Komisar, Randy

    2000-01-01

    Success in today's economy means throwing out the old career rules. The "noncareer" career is driven by passion for the work and has the fluidity and flexibility needed in the contemporary workplace. (JOW)

  5. Improving Career Exploration. Implementation Manual.

    Science.gov (United States)

    Southwest Iowa Learning Resources Center, Red Oak.

    This junior high/middle school career exploration implementation manual is designed to assist in implementing a comprehensive career exploration program using four career exploration components developed in the Improving Career Exploration project. The first of six sections addresses career exploration and career/vocational development. Basic…

  6. Spatio-temporal variation of conversational utterances on Twitter

    CERN Document Server

    Alis, Christian M

    2013-01-01

    Conversations reflect the existing norms of a language. Previously, we found that utterance lengths in English fictional conversations in books and movies have shortened over a period of 200 years. In this work, we show that this shortening occurs even for a brief period of 3 years (September 2009-December 2012) using 229 million utterances from Twitter. Furthermore, the subset of geographically-tagged tweets from the United States show an inverse proportion between utterance lengths and the state-level percentage of the Black population. We argue that shortening of utterances can be explained by the increasing usage of jargon including coined words.

  7. Social networks that matter: Twitter under the microscope

    CERN Document Server

    Huberman, Bernardo A; Wu, Fang

    2008-01-01

    Scholars, advertisers and political activists see massive online social networks as a representation of social interactions that can be used to study the propagation of ideas, social bond dynamics and viral marketing, among others. But the linked structures of social networks do not reveal actual interactions among people. Scarcity of attention and the daily rythms of life and work makes people default to interacting with those few that matter and that reciprocate their attention. A study of social interactions within Twitter reveals that the driver of usage is a sparse and hidden network of connections underlying the declared set of friends and followers.

  8. The Evolution of the Journal Club: From Osler to Twitter.

    Science.gov (United States)

    Topf, Joel M; Sparks, Matthew A; Phelan, Paul J; Shah, Nikhil; Lerma, Edgar V; Graham-Brown, Matthew P M; Madariaga, Hector; Iannuzzella, Francesco; Rheault, Michelle N; Oates, Thomas; Jhaveri, Kenar D; Hiremath, Swapnil

    2017-06-01

    Journal clubs have typically been held within the walls of academic institutions and in medicine have served the dual purpose of fostering critical appraisal of literature and disseminating new findings. In the last decade and especially the last few years, online and virtual journal clubs have been started and are flourishing, especially those harnessing the advantages of social media tools and customs. This article reviews the history and recent innovations of journal clubs. In addition, the authors describe their experience developing and implementing NephJC, an online nephrology journal club conducted on Twitter. Copyright © 2017 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

  9. DATA MINING TWITTER TO PREDICT STOCK MARKET MOVEMENTS

    Directory of Open Access Journals (Sweden)

    Maxim PECIONCHIN

    2015-04-01

    Full Text Available In this paper we apply sentiment analysis of Twitter data from July through December, 2013 to find correlation between users’ sentiments and NASDAQ closing price and trading volume. Our analysis is based on the Affective Norms for English Words (ANEW. We propose a novel way of determining weighted mood level based on PageRank algorithm. We find that sentiment data is Granger-causal to financial market performance with high degree of significance. “Happy” and “sad” sentiment variables’ lags are strongly correlated with closing price and “excited” and “calm” lags are strongly correlated with trading volume.

  10. General surgery career resource.

    Science.gov (United States)

    Parsee, Ana M; Ross, Sharona B; Gantt, Nancy L; Kichler, Kandace; Hollands, Celeste

    2013-11-01

    General surgery residency training can lead to a rewarding career in general surgery and serve as the foundation for careers in several surgical subspecialties. It offers broad-based training with exposure to the cognitive and technical aspects of several surgical specialties and prepares graduating residents for a wide range of career paths. This career development resource discusses the training aspects of general surgery. Copyright © 2013 Elsevier Inc. All rights reserved.

  11. 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.

  12. Exploring the Relationship between Student-Instructor Interaction on Twitter and Student Perceptions of Teacher Behaviors

    Science.gov (United States)

    McArthur, John A.; Bostedo-Conway, Kristen

    2012-01-01

    With much attention being placed on the use of Twitter and other social media in the classroom, educators are grappling with the question, "Is Twitter a valid tool to increase classroom effectiveness?" Yet, many responses to this question come from anecdotal and case-study-based information. The present study offers a preliminary quantitative…

  13. Joining the Conversation: Twitter as a Tool for Student Political Engagement

    Science.gov (United States)

    Journell, Wayne; Ayers, Cheryl A.; Beeson, Melissa Walker

    2013-01-01

    This article describes possibilities afforded by using social media, specifically Twitter, as a way to encourage students to join political conversations across the United States and around the world. In this study, we describe a project in which students used Twitter to share commentary about the state of the 2012 presidential election. The…

  14. Persistence of activity on Twitter triggered by a natural disaster: A data analysis

    CERN Document Server

    Kawamoto, Tatsuro

    2015-01-01

    In this note, we list the results of a simple analysis of a Twitter dataset: the complete dataset of Japanese tweets in the 1-week period after the Great East Japan earthquake, which occurred on March 11, 2011. Our data analysis shows how people reacted to the earthquake on Twitter and how some users went inactive in the long-term.

  15. 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 provid...

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

    Science.gov (United States)

    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…

  17. Effect of Faculty Member's Use of Twitter as Informal Professional Development during a Preservice Teacher Internship

    Science.gov (United States)

    Mills, Michael

    2014-01-01

    Educators have increasingly turned to Twitter as a means for receiving professional development and building and sustaining professional learning communities. This paper reports the results of a study of 82 undergraduate preservice teachers and their attitudes regarding Twitter as a medium for informal professional development support during their…

  18. Integración de sistema de monitorización Nagios con Twitter

    OpenAIRE

    Pérez Vera, Dolores Isabel

    2015-01-01

    Integración de sistema de monitorización Nagios con Twitter como sistema de notificación de eventos. Integració de sistema de monitorització Nagios amb Twitter com a sistema de notificació d'esdeveniments. Bachelor thesis for the Computer Science program on Computer networks.

  19. Putting Twitter to the Test: Assessing Outcomes for Student Collaboration, Engagement and Success

    Science.gov (United States)

    Junco, Reynol; Elavsky, C. Michael; Heiberger, Greg

    2013-01-01

    Herein, we present data from two studies of Twitter usage in different postsecondary courses with the goal of analyzing the relationships surrounding student engagement and collaboration as they intersect learning outcomes. Study 1 was conducted with 125 students taking a first-year seminar course, half of who were required to use Twitter while…

  20. Effect of Faculty Member's Use of Twitter as Informal Professional Development during a Preservice Teacher Internship

    Science.gov (United States)

    Mills, Michael

    2014-01-01

    Educators have increasingly turned to Twitter as a means for receiving professional development and building and sustaining professional learning communities. This paper reports the results of a study of 82 undergraduate preservice teachers and their attitudes regarding Twitter as a medium for informal professional development support during their…

  1. The Use of Twitter in Large Lecture Courses: Do the Students See a Benefit?

    Science.gov (United States)

    Ross, Heather M.; Banow, Ryan; Yu, Stan

    2015-01-01

    The purpose of this two-year quantitative study was to determine the usefulness of the micro-blogging tool Twitter in large classes for improving the students' sense of community and belonging. Three instructors of large classes were recruited to test the outcomes of using Twitter as a learning tool, one each from the Departments of Geography and…

  2. Exploring the Role of Twitter in Promoting Women's Health in the Arab World: Lessons Learned.

    Science.gov (United States)

    Bahkali, Salwa; Almaiman, Ahmad; Altassan, Nahla; Almaiman, Sarah; Househ, Mowafa; Alsurimi, Khaled

    2015-01-01

    Women's health is a topic that has been largely overlooked within the Arab world. Nevertheless, the constant growth in the use of social media provides an opportunity to improve women's health in the Arab world. In this paper, we discuss our experiences and lessons learned with the development of a women's health promotional campaign in the Arabic language using Twitter, a popular social media platform in the Arab world. We analyzed the combined experiences of five researchers in the development of the Twitter account. Two separate meetings were held, one on March 10 and another on March 25, 2015 with the researchers to review their experiences and lessons learned in developing a Twitter health promotion platform for women's health in the Arab world. The shared experiences were thematically transcribed, coded, matched and grouped under six key themes identified as the main driving forces for the development of a successful health promotion Twitter account. We found that the success of the Twitter account was the result of: defining clear goals, being passionate about the health promotion campaign, being motivated and creative, being knowledgeable about the health promotion area, developing trust between Twitter accounts users and the healthcare provider, and being patient in communicating with Twitter account users. Future research needs to focus on a more detailed analysis of the twitter feeds shared between the users and the health practitioners which can enhance our understanding of the social media based public health educational interventions.

  3. The Effectiveness of Twitter as a Communication Tool in College Recruitment

    Science.gov (United States)

    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.…

  4. Twitter Use and Its Effects on Student Perception of Instructor Credibility

    Science.gov (United States)

    DeGroot, Jocelyn M.; Young, Valerie J.; VanSlette, Sarah H.

    2015-01-01

    This study investigates college student perceptions of instructor credibility based on the content of an instructor's Twitterfeed and student beliefs about Twitter as a communication tool. Quantitative and qualitative methods were utilized to explore the effects of three manipulated Twitter feeds (e.g., tweeting social topics, professional topics,…

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

    NARCIS (Netherlands)

    Hosch-Dayican, Bengü; Amrit, Chintan; Aarts, Kees; Dassen, Adrie

    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 period

  6. Sharing Followers in e-Government Twitter Accounts: The Case of Greece

    Directory of Open Access Journals (Sweden)

    Kostas Zafiropoulos

    2014-05-01

    Full Text Available The recent emergence of e-government and online social media offers opportunities for governments to meet the demands and expectations of citizens, to provide value-added services and overcome barriers of reduced public budgets. Twitter is the most popular microblogging platform that can facilitate interaction and engagement. It is widely used by government agencies, public affairs practitioners, non-government organizations, members of Parliament and politicians. The paper aims to explore the use of Twitter by government agencies in Greece and record Twitter followers’ preferences regarding which accounts they follow. The paper records 27 Greek e-government Twitter accounts and their 107,107 followers. It uses a data mining technique, association rules and two multivariate statistical methods, multidimensional scaling and cluster analysis and proposes the use of a similarity measure, suitable for describing Twitter account proximity. In this way, the paper locates accounts that share followers. Groups of Twitter accounts are located, and their common orientation is described. The analysis not only describes Twitter account similarities and group formation, but to some extent, the followers’ preferences and habits of obtaining information through Twitter, as well.

  7. 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 T...

  8. 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...

  9. Making Twitter Work: A Guide for the Uninitiated, the Skeptical, and the Pragmatic

    OpenAIRE

    Forrestal, Valerie

    2011-01-01

    This article highlights the advantages of librarians and libraries establishing a professional or institutional presence on Twitter. This basic introduction to the web service also discusses innovative ways to shape your Twitter account into a successful professional development, reference, and outreach resource.

  10. Twitter in the Higher Education Classroom: Known Fragmentations and Needed Frameworks

    Science.gov (United States)

    Knowlton, Dave S.; Nygard, Shanda

    2016-01-01

    This article reviews early literature (that is, up to mid-year 2013) about Twitter's use in the higher education classroom. Fragmentations are highlighted as a way of showing that the literature does not cohesively claim advantages or disadvantages of using Twitter as a teaching and learning tool. The article also points to the limitations of the…

  11. Integración de sistema de monitorización Nagios con Twitter

    OpenAIRE

    Pérez Vera, Dolores Isabel

    2015-01-01

    Integración de sistema de monitorización Nagios con Twitter como sistema de notificación de eventos. Integració de sistema de monitorització Nagios amb Twitter com a sistema de notificació d'esdeveniments. Bachelor thesis for the Computer Science program on Computer networks.

  12. Using Twitter to Teach Reader-Oriented Biblical Interpretation: "Tweading" the Gospel of Mark

    Science.gov (United States)

    Williamson, Robert, Jr.

    2013-01-01

    Twitter offers an engaging way to introduce students to reader-oriented interpretation of the Bible. The exercise described here introduces students to the idea that the reader has a role in the production of a text's meaning, which thus varies from reader to reader. Twitter enables us to capture the real-time thoughts of a variety of…

  13. Development and evaluation of multi-agent models predicting Twitter trends in multiple domains

    NARCIS (Netherlands)

    Attema, T.; Maanen, P.P. van; Meeuwissen, E.

    2015-01-01

    This paper concerns multi-agent models predicting Twitter trends. We use a step-wise approach to develop a novel agent-based model with the following properties: (1) it uses individual behavior parameters for a set of Twitter users and (2) it uses a retweet graph to model the underlying social

  14. Administrators' Professional Learning via Twitter: The Dissonance between Beliefs and Actions

    Science.gov (United States)

    Cho, Vincent

    2016-01-01

    Purpose: Although there has been increasing optimism about the potential for social media platforms such as Twitter to support educators' professional learning, it is yet unclear whether such promises hold true. Accordingly, the purpose of this paper is to explore school administrators' use of Twitter for professional learning.…

  15. 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...

  16. The Dual Career Family.

    Science.gov (United States)

    Gurtin, Lee

    1980-01-01

    The dual career couple is forced to make a series of choices and compromises that impact the realms of marriage and career. The dilemmas that confront dual career marriages can be overcome only by compromise, accommodation, and mutual understanding on the part of the individuals involved. A revamping of human resources and recruitment programs is…

  17. Sustainable careers: Introductory chapter

    NARCIS (Netherlands)

    Heijden, B.I.J.M. van der; Vos, A de

    2015-01-01

    In this introductory chapter we will introduce the concept of ‘sustainable careers’ within the broader framework of contemporary careers. Departing from changes in the career context with regard to the dimensions of time, social space, agency and meaning, we advocate a fresh perspective on careers t

  18. Career Awareness, Career Planning, and Career Transition Needs among Sports Coaches

    Science.gov (United States)

    Lavallee, David

    2006-01-01

    This study is conducted with 56 recently retired full-time sports coaches to examine the importance of career awareness, postsport career planning, and career transition needs. Results indicate that the individuals do not have a high level of career awareness, have done relatively little postsport career planning during their coaching careers, and…

  19. @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.

  20. APPROXIMATIONS TO THE USES OF TWITTER BY UNIVERSITY LIBRARIES IN ARGENTINA.

    Directory of Open Access Journals (Sweden)

    Claudia Nora Laudano

    2016-07-01

    Full Text Available This article analyses the main uses of the social media Twitter in university libraries in Argentina. After revising existing literature, we outline the research methods used to identify whether libraries are currently adopting Twitter and how it is being used. We focus on the following areas: the starting date of the activity, basic institutional data, visibility and access to Twitter from the library web, the quantity of tweets over time, those "followed" and those "following" and quantity and type of posts during the period of time selected for research. The results show that few libraries have used Twitter and their use of this media tool has generally been unplanned, mostly for spreading information rather than interaction. It also stresses that despite an extensive literature on what are considered good practices, generally they are not taken by the institutions. At last, we propose further research in this area to widen our knowledge of the daily use of Twitter among librarians.

  1. Twitter as a Potential Disaster Risk Reduction Tool. Part I: Introduction, Terminology, Research and Operational Applications.

    Science.gov (United States)

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

    2015-06-29

    Twitter, a popular communications platform, is identified as contributing to improved mortality and morbidity outcomes resulting from the 2013 Hattiesburg, Mississippi EF-4 Tornado. This study describes the methodology by which Twitter was investigated as a potential disaster risk reduction and management tool at the community level and the process by which the at-risk population was identified from the broader Twitter user population. By understanding how various factors contribute to the superspreading of messages, one can better optimize Twitter as an essential communications and risk reduction tool. This study introduces Parts II, III and IV which further define the technological and scientific knowledge base necessary for developing future competency base curriculum and content for Twitter assisted disaster management education and training at the community level.

  2. The role of twitter in the life cycle of a scientific publication

    CERN Document Server

    Darling1, Emily S; Côté, Isabelle M; Drew, Joshua A

    2013-01-01

    Twitter is a micro-blogging social media platform for short messages that can have a long-term impact on how scientists create and publish ideas. We investigate the usefulness of twitter in the development and distribution of scientific knowledge. At the start of the life cycle of a scientific publication, twitter provides a large virtual department of colleagues that can help to rapidly generate, share and refine new ideas. As ideas become manuscripts, twitter can be used as an informal arena for the pre-review of works in progress. Finally, tweeting published findings can communicate research to a broad audience of other researchers, decision makers, journalists and the general public that can amplify the scientific and social impact of publications. However, there are limitations, largely surrounding issues of intellectual property and ownership, inclusiveness and misrepresentations of science sound bites. Nevertheless, we believe twitter is a useful social media tool that can provide a valuable contributi...

  3. Linguistic steganography on Twitter: hierarchical language modeling with manual interaction

    Science.gov (United States)

    Wilson, Alex; Blunsom, Phil; Ker, Andrew D.

    2014-02-01

    This work proposes a natural language stegosystem for Twitter, modifying tweets as they are written to hide 4 bits of payload per tweet, which is a greater payload than previous systems have achieved. The system, CoverTweet, includes novel components, as well as some already developed in the literature. We believe that the task of transforming covers during embedding is equivalent to unilingual machine translation (paraphrasing), and we use this equivalence to de ne a distortion measure based on statistical machine translation methods. The system incorporates this measure of distortion to rank possible tweet paraphrases, using a hierarchical language model; we use human interaction as a second distortion measure to pick the best. The hierarchical language model is designed to model the speci c language of the covers, which in this setting is the language of the Twitter user who is embedding. This is a change from previous work, where general-purpose language models have been used. We evaluate our system by testing the output against human judges, and show that humans are unable to distinguish stego tweets from cover tweets any better than random guessing.

  4. Event detection using Twitter: a spatio-temporal approach.

    Directory of Open Access Journals (Sweden)

    Tao Cheng

    Full Text Available BACKGROUND: Every day, around 400 million tweets are sent worldwide, which has become a rich source for detecting, monitoring and analysing news stories and special (disaster events. Existing research within this field follows key words attributed to an event, monitoring temporal changes in word usage. However, this method requires prior knowledge of the event in order to know which words to follow, and does not guarantee that the words chosen will be the most appropriate to monitor. METHODS: This paper suggests an alternative methodology for event detection using space-time scan statistics (STSS. This technique looks for clusters within the dataset across both space and time, regardless of tweet content. It is expected that clusters of tweets will emerge during spatio-temporally relevant events, as people will tweet more than expected in order to describe the event and spread information. The special event used as a case study is the 2013 London helicopter crash. RESULTS AND CONCLUSION: A spatio-temporally significant cluster is found relating to the London helicopter crash. Although the cluster only remains significant for a relatively short time, it is rich in information, such as important key words and photographs. The method also detects other special events such as football matches, as well as train and flight delays from Twitter data. These findings demonstrate that STSS is an effective approach to analysing Twitter data for event detection.

  5. Twitter Chats as Third Places: Conceptualizing a Digital Gathering Site

    Directory of Open Access Journals (Sweden)

    John A. McArthur

    2016-08-01

    Full Text Available Social media users can harness the interactivity and connectivity of social networking sites to create a sense of place in a digital environment. This article argues that regularly scheduled Twitter chats can function as digital third places, sites of online sociality that both mirror and deviate from physical gathering sites such as bars or clubs. Using Oldenburg’s eight characteristics of (built third places, this study examines how people collectively identify with others and collaborate in digital gathering sites. Through an investigation of 1 month of multiple, recurring Twitter chats, including over 3,100 tweets, a textual analysis explores Oldenburg’s characteristics of built third places in the context of these digital interactions. The findings add nuance to the application of Oldenburg’s themes in a networked media context and suggest that social networking sites offer the potential for continued thinking about the role of third places in developing connectivity online. Moreover, the findings suggest further opportunities for the study of space—both physical and digital—and the study of time as integral components of digitally mediated interpersonal connection.

  6. You Tweet What You Eat: Studying Food Consumption Through Twitter

    CERN Document Server

    Abbar, Sofiane; Weber, Ingmar

    2014-01-01

    Food is an integral part of our lives, cultures, and well-being, and is of major interest to public health. The collection of daily nutritional data involves keeping detailed diaries or periodic surveys and is limited in scope and reach. Alternatively, social media is infamous for allowing its users to update the world on the minutiae of their daily lives, including their eating habits. In this work we examine the potential of Twitter to provide insight into US-wide dietary choices by linking the tweeted dining experiences of 210K users to their interests, demographics, and social networks. We validate our approach by relating the caloric values of the foods mentioned in the tweets to the state-wide obesity rates, achieving a Pearson correlation of 0.77 across the 50 US states and the District of Columbia. We then build a model to predict county-wide obesity and diabetes statistics based on a combination of demographic variables and food names mentioned on Twitter. Our results show significant improvement ove...

  7. Effective Listings of Function Stop words for Twitter

    CERN Document Server

    Choy, Murphy

    2012-01-01

    Many words in documents recur very frequently but are essentially meaningless as they are used to join words together in a sentence. It is commonly understood that stop words do not contribute to the context or content of textual documents. Due to their high frequency of occurrence, their presence in text mining presents an obstacle to the understanding of the content in the documents. To eliminate the bias effects, most text mining software or approaches make use of stop words list to identify and remove those words. However, the development of such top words list is difficult and inconsistent between textual sources. This problem is further aggravated by sources such as Twitter which are highly repetitive or similar in nature. In this paper, we will be examining the original work using term frequency, inverse document frequency and term adjacency for developing a stop words list for the Twitter data source. We propose a new technique using combinatorial values as an alternative measure to effectively list o...

  8. Elecciones Europeas 2014: Viralidad de los mensajes en Twitter

    Directory of Open Access Journals (Sweden)

    M. L. Congosto

    2015-06-01

    Full Text Available Desde las elecciones Catalanas de 2010 en que se alcanzó una masa crítica de usuarios españoles en Twitter, esta red social ha jugado un importante papel en la difusión de mensajes en todas las campañas electorales celebradas hasta la fecha en España. El objetivo de esta investigación es aportar luz sobre la participación y la receptividad del ciudadano a los mensajes emitidos en Twitter durante la campaña a las elecciones europeas de 2014. Se ha estudiado la conversación exógena a la organización de los partidos y candidatos al parlamento europeo junto con la endógena de las fuerzas políticas contendientes. En ambos casos se han analizado los patrones de publicación, los temas tratados, la difusión de estos mensajes y los perfiles de los usuarios que participaron.

  9. Twitter Sentiment Analysis of Movie Reviews using Machine Learning Techniques.

    Directory of Open Access Journals (Sweden)

    Akshay Amolik

    2015-12-01

    Full Text Available Sentiment analysis is basically concerned with analysis of emotions and opinions from text. We can refer sentiment analysis as opinion mining. Sentiment analysis finds and justifies the sentiment of the person with respect to a given source of content. Social media contain huge amount of the sentiment data in the form of tweets, blogs, and updates on the status, posts, etc. Sentiment analysis of this largely generated data is very useful to express the opinion of the mass. Twitter sentiment analysis is tricky as compared to broad sentiment analysis because of the slang words and misspellings and repeated characters. We know that the maximum length of each tweet in Twitter is 140 characters. So it is very important to identify correct sentiment of each word. In our project we are proposing a highly accurate model of sentiment analysis of tweets with respect to latest reviews of upcoming Bollywood or Hollywood movies. With the help of feature vector and classifiers such as Support vector machine and Naïve Bayes, we are correctly classifying these tweets as positive, negative and neutral to give sentiment of each tweet.

  10. Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll.

    Science.gov (United States)

    Cody, Emily M; Reagan, Andrew J; Mitchell, Lewis; Dodds, Peter Sheridan; Danforth, Christopher M

    2015-01-01

    The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque for the public to understand. Social media, however, is a forum where individuals of diverse backgrounds can share their thoughts and opinions. As consumption shifts from old media to new, Twitter has become a valuable resource for analyzing current events and headline news. In this research, we analyze tweets containing the word "climate" collected between September 2008 and July 2014. Through use of a previously developed sentiment measurement tool called the Hedonometer, we determine how collective sentiment varies in response to climate change news, events, and natural disasters. We find that natural disasters, climate bills, and oil-drilling can contribute to a decrease in happiness while climate rallies, a book release, and a green ideas contest can contribute to an increase in happiness. Words uncovered by our analysis suggest that responses to climate change news are predominately from climate change activists rather than climate change deniers, indicating that Twitter is a valuable resource for the spread of climate change awareness.

  11. Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll.

    Directory of Open Access Journals (Sweden)

    Emily M Cody

    Full Text Available The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque for the public to understand. Social media, however, is a forum where individuals of diverse backgrounds can share their thoughts and opinions. As consumption shifts from old media to new, Twitter has become a valuable resource for analyzing current events and headline news. In this research, we analyze tweets containing the word "climate" collected between September 2008 and July 2014. Through use of a previously developed sentiment measurement tool called the Hedonometer, we determine how collective sentiment varies in response to climate change news, events, and natural disasters. We find that natural disasters, climate bills, and oil-drilling can contribute to a decrease in happiness while climate rallies, a book release, and a green ideas contest can contribute to an increase in happiness. Words uncovered by our analysis suggest that responses to climate change news are predominately from climate change activists rather than climate change deniers, indicating that Twitter is a valuable resource for the spread of climate change awareness.

  12. Technical Challenges in Developing Software to Collect Twitter Data

    Directory of Open Access Journals (Sweden)

    Daniel Chudnov

    2014-10-01

    Full Text Available Over the past two years, George Washington University Libraries developed Social Feed Manager (SFM, a Python and Django-based application for collecting social media data from Twitter. Expanding the project from a research prototype to a more widely useful application has presented a number of technical challenges, including changes in the Twitter API, supervision of simultaneous streaming processes, management, storage, and organization of collected data, meeting researcher needs for groups or sets of data, and improving documentation to facilitate other institutions’ installation and use of SFM. This article will describe how the Social Feed Manager project addressed these issues, use of supervisord to manage processes, and other technical decisions made in the course of this project through late summer 2014. This article is targeted towards librarians and archivists who are interested in building collections around web archives and social media data, and have a particular interest in the technical work involved in applying software to the problem of building a sustainable collection management program around these sources.

  13. Life Satisfaction and the Pursuit of Happiness on Twitter.

    Directory of Open Access Journals (Sweden)

    Chao Yang

    Full Text Available Life satisfaction refers to a somewhat stable cognitive assessment of one's own life. Life satisfaction is an important component of subjective well being, the scientific term for happiness. The other component is affect: the balance between the presence of positive and negative emotions in daily life. While affect has been studied using social media datasets (particularly from Twitter, life satisfaction has received little to no attention. Here, we examine trends in posts about life satisfaction from a two-year sample of Twitter data. We apply a surveillance methodology to extract expressions of both satisfaction and dissatisfaction with life. A noteworthy result is that consistent with their definitions trends in life satisfaction posts are immune to external events (political, seasonal etc. unlike affect trends reported by previous researchers. Comparing users we find differences between satisfied and dissatisfied users in several linguistic, psychosocial and other features. For example the latter post more tweets expressing anger, anxiety, depression, sadness and on death. We also study users who change their status over time from satisfied with life to dissatisfied or vice versa. Noteworthy is that the psychosocial tweet features of users who change from satisfied to dissatisfied are quite different from those who stay satisfied over time. Overall, the observations we make are consistent with intuition and consistent with observations in the social science research. This research contributes to the study of the subjective well being of individuals through social media.

  14. Hashtagging Politics: Transnational Anti-Fracking Movement Twitter Practices

    Directory of Open Access Journals (Sweden)

    Jill E. Hopke

    2015-09-01

    Full Text Available I examine a 2-week window into an environmental movement trying to gain traction in the public sphere, centered on a transnational day of action calling for a ban on the drilling technology, high-volume hydraulic fracturing, the Global Frackdown. Twitter serves a different purpose for the anti-fracking Global Frackdown movement than other Internet-based communications, most notably email listservs. Findings show that Global Frackdown tweeters engage in framing practices of movement convergence and solidarity, declarative and targeted engagement, prefabricated messaging, and multilingual tweeting. In contrast to Global Frackdown tweeters’ use of the platform for in-the-moment communication, Global Frackdown activists report in in-depth interviews that they place more emphasis on private (i.e., listservs communication channels for longer term, durable movement building. The episodic, crowdsourced, and often personalized, transnational framing practices of Global Frackdown tweeters support core organizers’ goal of promoting the globalness of activism to ban fracking. This research extends past scholarship on socially mediated activism by providing a case study of how environmental activists use Twitter for ephemeral movement communication during a pre-planned transnational day of action, blurring internal movement collective identity-building and affirmation with publicly enacted strategic framing.

  15. Countering violent extremism via de-securitisation on Twitter

    Directory of Open Access Journals (Sweden)

    Anna Warrington

    2017-06-01

    Full Text Available The case of a civil society actor on Twitter entering a securitized discourse on terrorism illustrates the transformative theoretical potential that emerges from new forms of communication online. Through a qualitative analysis of tweets from the Average Mohamed profile, the potential to change a negative narrative of violent extremism operating within a securitised discourse of Islamic terrorism, is discussed in an online context. The arguments forming from this analysis offers a new approach to studying online counter narratives by linking a theoretical framework of securitisation and de-securitisation to recent political efforts Countering Violent Extremism (CVE and Preventing Violent Extremism (PVE. Through the inclusion of a civil society Twitter account as an illustrative case, this paper explores how social media can challenge existing assumptions of who can be a de-securitising actor within security theory by blurring the lines between political and societal sectors in a securitised threat from Islamic terrorism. If and how a civil society actor can loosen the dichotomous discursive relationship between Self/Other relations within a contemporary discourse on terrorism becomes relevant for a theoretical discussion by presenting an argument suggesting that online CVE polices are more effective within the sphere of ‘normal’ politics rather than within the realm of securitization. This theoretical perspective offers an analytical framework including a wide range of actors involved in counter narratives policies which is useful for further CVE research.

  16. Life Satisfaction and the Pursuit of Happiness on Twitter.

    Science.gov (United States)

    Yang, Chao; Srinivasan, Padmini

    2016-01-01

    Life satisfaction refers to a somewhat stable cognitive assessment of one's own life. Life satisfaction is an important component of subjective well being, the scientific term for happiness. The other component is affect: the balance between the presence of positive and negative emotions in daily life. While affect has been studied using social media datasets (particularly from Twitter), life satisfaction has received little to no attention. Here, we examine trends in posts about life satisfaction from a two-year sample of Twitter data. We apply a surveillance methodology to extract expressions of both satisfaction and dissatisfaction with life. A noteworthy result is that consistent with their definitions trends in life satisfaction posts are immune to external events (political, seasonal etc.) unlike affect trends reported by previous researchers. Comparing users we find differences between satisfied and dissatisfied users in several linguistic, psychosocial and other features. For example the latter post more tweets expressing anger, anxiety, depression, sadness and on death. We also study users who change their status over time from satisfied with life to dissatisfied or vice versa. Noteworthy is that the psychosocial tweet features of users who change from satisfied to dissatisfied are quite different from those who stay satisfied over time. Overall, the observations we make are consistent with intuition and consistent with observations in the social science research. This research contributes to the study of the subjective well being of individuals through social media.

  17. Exploring Twitter communication dynamics with evolving community analysis

    Directory of Open Access Journals (Sweden)

    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.

  18. 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.

  19. Relation of Depression and Dysfunctional Career Thinking to Career Indecision.

    Science.gov (United States)

    Saunders, Denise E.; Peterson, Gary W.; Reardon, Robert C.; Sampson, James P., Jr.

    2000-01-01

    A study of 215 students who completed career indecision, career thoughts, and depression measures showed that dysfunctional career thoughts were significant components of career indecision. Depression was significantly associated with career indecision, but it did not capture a significant independent variation in regression analyses. (SK)

  20. Comparing Twitter and Online Panels for Survey Recruitment of E-Cigarette Users and Smokers.

    Science.gov (United States)

    Guillory, Jamie; Kim, Annice; Murphy, Joe; Bradfield, Brian; Nonnemaker, James; Hsieh, Yuli

    2016-11-15

    E-cigarettes have rapidly increased in popularity in recent years, driven, at least in part, by marketing and word-of-mouth discussion on Twitter. Given the rapid proliferation of e-cigarettes, researchers need timely quantitative data from e-cigarette users and smokers who may see e-cigarettes as a cessation tool. Twitter provides an ideal platform for recruiting e-cigarette users and smokers who use Twitter. Online panels offer a second method of accessing this population, but they have been criticized for recruiting too few young adults, among whom e-cigarette use rates are highest. This study compares effectiveness of recruiting Twitter users who are e-cigarette users and smokers who have never used e-cigarettes via Twitter to online panelists provided by Qualtrics and explores how users recruited differ by demographics, e-cigarette use, and social media use. Participants were adults who had ever used e-cigarettes (n=278; male: 57.6%, 160/278; age: mean 34.26, SD 14.16 years) and smokers (n=102; male: 38.2%, 39/102; age: mean 42.80, SD 14.16 years) with public Twitter profiles. Participants were recruited via online panel (n=190) or promoted tweets using keyword targeting for e-cigarette users (n=190). Predictor variables were demographics (age, gender, education, race/ethnicity), e-cigarette use (eg, past 30-day e-cigarette use, e-cigarette puffs per day), social media use behaviors (eg, Twitter use frequency), and days to final survey completion from survey launch for Twitter versus panel. Recruitment method (Twitter, panel) was the dependent variable. Across the total sample, participants were recruited more quickly via Twitter (incidence rate ratio=1.30, P=.02) than panel. Compared with young adult e-cigarette users (age 18-24 years), e-cigarette users aged 25 to 34 years (OR 0.01, 95% CI 0.00-0.60, P=.03) and 35 to 44 years (OR 0.01, 95% CI 0.00-0.51, P=.02) were more likely to be recruited via Twitter than panel. Smokers aged 35 to 44 years were less

  1. Comparing Twitter and Online Panels for Survey Recruitment of E-Cigarette Users and Smokers

    Science.gov (United States)

    Kim, Annice; Murphy, Joe; Bradfield, Brian; Nonnemaker, James; Hsieh, Yuli

    2016-01-01

    Background E-cigarettes have rapidly increased in popularity in recent years, driven, at least in part, by marketing and word-of-mouth discussion on Twitter. Given the rapid proliferation of e-cigarettes, researchers need timely quantitative data from e-cigarette users and smokers who may see e-cigarettes as a cessation tool. Twitter provides an ideal platform for recruiting e-cigarette users and smokers who use Twitter. Online panels offer a second method of accessing this population, but they have been criticized for recruiting too few young adults, among whom e-cigarette use rates are highest. Objective This study compares effectiveness of recruiting Twitter users who are e-cigarette users and smokers who have never used e-cigarettes via Twitter to online panelists provided by Qualtrics and explores how users recruited differ by demographics, e-cigarette use, and social media use. Methods Participants were adults who had ever used e-cigarettes (n=278; male: 57.6%, 160/278; age: mean 34.26, SD 14.16 years) and smokers (n=102; male: 38.2%, 39/102; age: mean 42.80, SD 14.16 years) with public Twitter profiles. Participants were recruited via online panel (n=190) or promoted tweets using keyword targeting for e-cigarette users (n=190). Predictor variables were demographics (age, gender, education, race/ethnicity), e-cigarette use (eg, past 30-day e-cigarette use, e-cigarette puffs per day), social media use behaviors (eg, Twitter use frequency), and days to final survey completion from survey launch for Twitter versus panel. Recruitment method (Twitter, panel) was the dependent variable. Results Across the total sample, participants were recruited more quickly via Twitter (incidence rate ratio=1.30, P=.02) than panel. Compared with young adult e-cigarette users (age 18-24 years), e-cigarette users aged 25 to 34 years (OR 0.01, 95% CI 0.00-0.60, P=.03) and 35 to 44 years (OR 0.01, 95% CI 0.00-0.51, P=.02) were more likely to be recruited via Twitter than panel

  2. Tweets from the forest: using Twitter to increase student engagement in an undergraduate field biology course.

    Science.gov (United States)

    Soluk, Lauren; Buddle, Christopher M

    2015-01-01

    Twitter is a cold medium that allows users to deliver content-rich but small packets of information to other users, and provides an opportunity for active and collaborative communication. In an education setting, this social media tool has potential to increase active learning opportunities, and increase student engagement with course content. The effects of Twitter on learning dynamics was tested in a field biology course offered by a large Canadian University: 29 students agreed to take part in the Twitter project and quantitative and qualitative data were collected, including survey data from 18 students. Students published 200% more public Tweets than what was required, and interacted frequently with the instructor and teaching assistant, their peers, and users external to the course. Almost 80% of students stated that Twitter increased opportunities for among-group communication, and 94% of students felt this kind of collaborative communication was beneficial to their learning. Although students did not think they would use Twitter after the course was over, 77% of the students still felt it was a good learning tool, and 67% of students felt Twitter had a positive impact on how they engaged with course content. These results suggest social media tools such as Twitter can help achieve active and collaborative learning in higher education.

  3. Social media in radiology: early trends in Twitter microblogging at radiology's largest international meeting.

    Science.gov (United States)

    Hawkins, C Matthew; Duszak, Richard; Rawson, James V

    2014-04-01

    Twitter is a social media microblogging platform that allows rapid exchange of information between individuals. Despite its widespread acceptance and use at various other medical specialty meetings, there are no published data evaluating its use at radiology meetings. The purpose of this study is to quantitatively and qualitatively evaluate the use of Twitter as a microblogging platform at recent RSNA annual meetings. Twitter activity meta-data tagged with official meeting hashtags #RSNA11 and #RSNA12 were collected and analyzed. Multiple metrics were evaluated, including daily and hourly Twitter activity, frequency of microblogging activity over time, characteristics of the 100 most active Twitter users at each meeting, characteristics of meeting-related tweets, and the geographic origin of meeting microbloggers. The use of Twitter microblogging increased by at least 30% by all identifiable meaningful metrics between the 2011 and 2012 RSNA annual meetings, including total tweets, tweets per day, activity of the most active microbloggers, and total number of microbloggers. Similar increases were observed in numbers of North American and international microbloggers. Markedly increased use of the Twitter microblogging platform at recent RSNA annual meetings demonstrates the potential to leverage this technology to engage meeting attendees, improve scientific sessions, and promote improved collaboration at national radiology meetings. Copyright © 2014 American College of Radiology. Published by Elsevier Inc. All rights reserved.

  4. Fundamentos Basicos de Career Education. Monografia en Career Education. [Basic Fundamentals of Career Education. Monograph in Career Education].

    Science.gov (United States)

    Office of Education (DHEW), Washington, DC.

    This document is the Spanish translation of ED 145 222, A Primer for Career Education. In this monograph, a view of the basic nature of the career education effort is discussed under the following topics: the basis of need for career education; the meaning and goals of career education; the difference between career education and vocational…

  5. Telling Stories of Career Assessment

    Science.gov (United States)

    McMahon, Mary; Watson, Mark

    2012-01-01

    In the field of career development, there is an acknowledged relationship between career assessment and career counseling. Traditional career assessment and more recent narrative approaches to career counseling are perceived as having an uneasy relationship because of their different philosophical bases. A sustainable future story for the field…

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

    Directory of Open Access Journals (Sweden)

    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.

  7. The 'who' and 'what' of #diabetes on Twitter

    CERN Document Server

    Beguerisse-Díaz, Mariano; Garduño-Hernández, Guillermo; Barahona, Mauricio; Ulijaszek, Stanley J

    2015-01-01

    Social media and mobile technologies are increasingly being used for health promotion. Despite an acknowledged confluence of a wide range of users this landscape is not well understood, studies typically focus on the people who have a disease, or the agencies which address it, but do not look more broadly. We study conversations and messages about diabetes on Twitter through the systematic analysis of a large collection of tweets containing the term 'diabetes', as well as interactions between the users who generated them. We address three questions: (1) What are the themes that arise in these messages? (2) Who talks about diabetes and in what capacity? And (3) which type of users contribute content to which themes? To answer these questions we employ a mixed-methods approach, using techniques from anthropology, network science, and information retrieval. Through this analysis, we identify twenty themes that fall within four broad thematic groups: Health information, news, social interaction, and commercial. M...

  8. 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.

  9. Measuring Political Polarization: Twitter shows the two sides of Venezuela

    CERN Document Server

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

    2015-01-01

    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 Ch\\'avez, 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.

  10. Disentangling the Lexicons of Disaster Response in Twitter

    Energy Technology Data Exchange (ETDEWEB)

    Hodas, Nathan O.; Ver Steeg, Greg; Harrison, Joshua J.; Chikkagoudar, Satish; Bell, Eric B.; Corley, Courtney D.

    2015-07-22

    Abstract: People around the world use social media platforms such as Twitter heavily to express their opinion about various as- pects of daily life. In the same way social media changes communication in daily life, it also is transforming the way individuals communicate during disasters and emergencies. Emergency officials have come to rely on social media to communicate alerts and updates. How do users communi- cate risk on social media? We used a novel information- theoretic unsupervised learning tool, CorEx, to extract and classify highly relevant words used by the public on Twit- ter during known emergencies, such as fires, explosions, and hurricanes. By utilizing the resulting classification strategy, authorities can use the derived language to craft more rel- evant risk communication to maximize the effectiveness of short-message broadcasts such as the Wireless Emergency Alerts (WEA) service.

  11. 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.

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

    Science.gov (United States)

    Goncalves, Bruno; Perra, Nicola; Vespignani, Alessandro

    2012-02-01

    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.

  13. Assessing the Bias in Communication Networks Sampled from Twitter

    CERN Document Server

    González-Bailón, Sandra; Rivero, Alejandro; Borge-Holthoefer, Javier; Moreno, Yamir

    2012-01-01

    We collect and analyse messages exchanged in Twitter using two of the platform's publicly available APIs (the search and stream specifications). We assess the differences between the two samples, and compare the networks of communication reconstructed from them. The empirical context is given by political protests taking place in May 2012: we track online communication around these protests for the period of one month, and reconstruct the network of mentions and re-tweets according to the two samples. We find that the search API over-represents the more central users and does not offer an accurate picture of peripheral activity; we also find that the bias is greater for the network of mentions. We discuss the implications of this bias for the study of diffusion dynamics and collective action in the digital era, and advocate the need for more uniform sampling procedures in the study of online communication.

  14. Measuring the Influence of Mainstream Media on Twitter Users

    Science.gov (United States)

    2014-07-01

    transform data into useful knowledge. They then described the functions of Strengths, Weaknesses, Opportunities and Threats ( SWOT ) analysis and the Five...Park, NC 27709-2211 mainstream media, data analysis , twitter REPORT DOCUMENTATION PAGE 11. SPONSOR/MONITOR’S REPORT NUMBER(S) 10. SPONSOR/MONITOR’S...20 Trending Topics………………………………………………………….26 Sentiment Analysis ………………………………………………………28 Opinion Clustering………………………………………………………31 Chapter

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

    Science.gov (United States)

    Gonçalves, Bruno; Perra, Nicola; Vespignani, Alessandro

    2011-01-01

    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.

  16. Good Friends, Bad News - Affect and Virality in Twitter

    DEFF Research Database (Denmark)

    Hansen, Lars Kai; Arvidsson, Adam; Nielsen, Finn Årup

    2011-01-01

    is the probability of retweet and we are interested in which dimensions of the content of a tweet leads to retweeting. We hypothesize that negative news content is more likely to be retweeted, while for non-news tweets positive sentiments support virality. To test the hypothesis we analyze three corpora: A complete...... sample of tweets about the COP15 climate summit, a random sample of tweets, and a general text corpus including news. The latter allows us to train a classifier that can distinguish tweets that carry news and non-news information. We present evidence that negative sentiment enhances virality in the news......The link between affect, defined as the capacity for sentimental arousal on the part of a message, and virality, defined as the probability that it be sent along, is of significant theoretical and practical importance, e.g. for viral marketing. The basic measure of virality in Twitter...

  17. 可重构幸存路径管理Viterbi译码器的研究与设计%Study and Implementation of a Reconfigurable Survivor Path Memory Unit for Viterbi Decoder

    Institute of Scientific and Technical Information of China (English)

    张维津; 张科峰

    2011-01-01

    根据现代通信系统对自适应性和低功耗的要求,设计了一种自适应的Viterbi译码器,通过设计可重构的幸存路径存储管理单元(SMU),译码器可以根据不同调制方式自适应地选择回溯深度,并通过简化分支度量运算,降低了Viterbi算法中分支度量单元(BMU)和加-比-选单元(ACSU)的复杂度.经FPGA仿真结果表明,该算法性能满足自适应要求,且占用硬件资源低,可降低功耗14%左右,可用于含多速率多调制方式的移动通信系统.%An adaptive Viterbi decoder is designed in this paper, based on the demand of adaptive and low power consumption in modern communication systems. The Viterbi decoder can change trace depth automatically by the design of a reconfigurable survivor path memory unit. In this paper we also simplify the branch metric arithmetic, so as to decrease the complexity of the branch metric unit and the add-compare-select unit. According to the simulation result, this design has a small area and has satisfied the demand of adaption, the power consumption can be decreased by 14%. The Viterbi decoder supposed in this paper can be used in communication systems which have kinds of modulation modes.

  18. EFFECT OF A NOVEL ENGAGEMENT STRATEGY USING TWITTER ON TEST PERFORMANCE

    Directory of Open Access Journals (Sweden)

    Amanda L. Webb

    2015-11-01

    Full Text Available Introduction: 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. Methods: 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. Results: 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 (p<0.001 and in Twitter-only scores (p<0.001. There was not enough evidence to conclude a significant difference in lecture-only scores (p=0.124. Students who submitted answers to Twitter “all or most of the time” or “about half the time” had significantly higher overall scores and Twitter-only scores (p<0.001 and p<0.001, respectively than those students who only submitted answers “little or none of the time.” Conclusion: While students retained less information from Twitter than from traditional classroom lecture, some retention was noted. Future

  19. Facebook, Twitter & YouTube : A social media guide for the city of Ravensburg

    OpenAIRE

    Onishko, Anastasia

    2011-01-01

    The aim of this thesis is to guide the city of Ravensburg to create a Facebook, Twit-ter and YouTube account for themselves. The Tourist Information of Ravensburg gave me an assignment to find out what they can do on these social media sites and how to do it. I created a small guide about the main points of Facebook, Twitter and YouTube, based on my material. Facebook, Twitter and YouTube are naturally of the centre at this thesis, although I have also added some information about the im...

  20. A PROPOSED FRAMEWORK TO CONTROL RUMOUR PROPAGATION ON TWITTER FOR CRITICAL NATIONAL INFORMATION INFRASTRUCTURE (CNII ORGANISATIONS

    Directory of Open Access Journals (Sweden)

    Nor Faiz Muhammad Noor

    2016-02-01

    Full Text Available Critical National Information Infrastructure (CNII organisations in Malaysia consist of many crucial sectors that not solely effect on national e-sovereignty, but also on economy, social and politic matters. Due to the widely usage on social media especially on Twitter, harmful rumour can easily propagate without any restrictions on any CNII organisations. For instance, the harmful rumour can damage the function of affected CNII such as reputation, perception and even worse can lead to disability to function. Up to this moment, there is no proper control to stop rumour propagation on Twitter for CNII. Therefore, this paper proposes a framework on controlling rumour propagation on Twitter for Malaysian CNII.

  1. Facebook, Twitter & YouTube : A social media guide for the city of Ravensburg

    OpenAIRE

    2011-01-01

    The aim of this thesis is to guide the city of Ravensburg to create a Facebook, Twit-ter and YouTube account for themselves. The Tourist Information of Ravensburg gave me an assignment to find out what they can do on these social media sites and how to do it. I created a small guide about the main points of Facebook, Twitter and YouTube, based on my material. Facebook, Twitter and YouTube are naturally of the centre at this thesis, although I have also added some information about the im...

  2. Do altmetrics work? Twitter and ten other social web services.

    Science.gov (United States)

    Thelwall, Mike; Haustein, Stefanie; Larivière, Vincent; Sugimoto, Cassidy R

    2013-01-01

    Altmetric measurements derived from the social web are increasingly advocated and used as early indicators of article impact and usefulness. Nevertheless, there is a lack of systematic scientific evidence that altmetrics are valid proxies of either impact or utility although a few case studies have reported medium correlations between specific altmetrics and citation rates for individual journals or fields. To fill this gap, this study compares 11 altmetrics with Web of Science citations for 76 to 208,739 PubMed articles with at least one altmetric mention in each case and up to 1,891 journals per metric. It also introduces a simple sign test to overcome biases caused by different citation and usage windows. Statistically significant associations were found between higher metric scores and higher citations for articles with positive altmetric scores in all cases with sufficient evidence (Twitter, Facebook wall posts, research highlights, blogs, mainstream media and forums) except perhaps for Google+ posts. Evidence was insufficient for LinkedIn, Pinterest, question and answer sites, and Reddit, and no conclusions should be drawn about articles with zero altmetric scores or the strength of any correlation between altmetrics and citations. Nevertheless, comparisons between citations and metric values for articles published at different times, even within the same year, can remove or reverse this association and so publishers and scientometricians should consider the effect of time when using altmetrics to rank articles. Finally, the coverage of all the altmetrics except for Twitter seems to be low and so it is not clear if they are prevalent enough to be useful in practice.

  3. Do altmetrics work? Twitter and ten other social web services.

    Directory of Open Access Journals (Sweden)

    Mike Thelwall

    Full Text Available Altmetric measurements derived from the social web are increasingly advocated and used as early indicators of article impact and usefulness. Nevertheless, there is a lack of systematic scientific evidence that altmetrics are valid proxies of either impact or utility although a few case studies have reported medium correlations between specific altmetrics and citation rates for individual journals or fields. To fill this gap, this study compares 11 altmetrics with Web of Science citations for 76 to 208,739 PubMed articles with at least one altmetric mention in each case and up to 1,891 journals per metric. It also introduces a simple sign test to overcome biases caused by different citation and usage windows. Statistically significant associations were found between higher metric scores and higher citations for articles with positive altmetric scores in all cases with sufficient evidence (Twitter, Facebook wall posts, research highlights, blogs, mainstream media and forums except perhaps for Google+ posts. Evidence was insufficient for LinkedIn, Pinterest, question and answer sites, and Reddit, and no conclusions should be drawn about articles with zero altmetric scores or the strength of any correlation between altmetrics and citations. Nevertheless, comparisons between citations and metric values for articles published at different times, even within the same year, can remove or reverse this association and so publishers and scientometricians should consider the effect of time when using altmetrics to rank articles. Finally, the coverage of all the altmetrics except for Twitter seems to be low and so it is not clear if they are prevalent enough to be useful in practice.

  4. Twitter use at a family medicine conference: analyzing #STFM13.

    Science.gov (United States)

    Mishori, Ranit; Levy, Brendan; Donvan, Benjamin

    2014-09-01

    The use of social media is expanding in medicine. A few articles sought to describe participant behavior using Twitter at scientific conferences. Family physicians are known as active participants in social media, but their behavior and practices at conferences have not been methodically described. We recorded all public tweets at the 2013 Society of Teachers of Family Medicine (STFM) Annual Spring Conference bearing the hashtag #STFM13, using commercially available services. We created a transcript of all tweets for the 5 days of the conference and 3 days before and after. We looked at the total number of tweets, number of original tweets and re-tweets, active users, most prolific users, and impressions. We categorized the content based on (1) Session related, (2) Social, (3) Logistics, (4) Ads, and (5) Other. We compared major metrics (but not content) to the 2012 STFM Annual Spring Conference. There were a total of 1,818 tweets from 181 user accounts: 13% of the conference registrants. The top tweeter accounted for over 15% of the total tweets, and the top 10 accounted for over 50% of the total volume. Most original tweets (69.7%) were related to session content. Social content came in second (14.2%), followed by other, logistics, and advertisement (7.6%, 6.9%, 1.6%). This preliminary analysis provides an initial snapshot of twitter activity at a family medicine conference. It may suggest avenues for further inquiry: trend identification, "influencer" identification, and qualitative analysis. Interdisciplinary research should focus on evaluation methods that can assess the quality, value, and impact of tweeting.

  5. Social Technologies to Jump Start Geoscience Careers

    Science.gov (United States)

    Keane, Christopher; Martinez, Cynthia; Gonzales, Leila

    2010-05-01

    Collaborative and social technologies have been increasingly used to facilitate distributed data collection and observation in science. However, "Web 2.0" and basic social media are seeing limited coordinated use in building student and early-career geoscientists knowledge and understanding of the profession and career for which they have undertaken. The current generation of geology students and early career professionals are used to ready access to myriad of information and interaction opportunities, but they remain largely unaware about the geoscience profession, what the full scope of their opportunities are, and how to reach across institutional and subdisciplinary boundaries to build their own professional network. The American Geological Institute Workforce Program has tracked and supported the human resources of the geosciences since 1952. With the looming retirement of Baby Boomers, increasing demand for quality geoscientists, and a continued modest supply of students entering the geosciences, AGI is working to strengthen the human resource pipeline in the geosciences globally. One aspect of this effort is the GeoConnection Network, which is an integrated set of social networking, media sharing and communication Web 2.0 applications designed to engage students in thinking about careers in the geosciences and enabling them to build their own personal professional network. Developed by the American Geological Institute (AGI), GeoConnection links practicing and prospective geoscientists in an informal setting to share information about the geoscience profession, including student and career opportunities, current events, and future trends in the geosciences. The network includes a Facebook fan page, YouTube Channel, Twitter account and GeoSpectrum blog, with the goal of helping science organizations and departments recruit future talent to the geoscience workforce. On the social-networking platform, Facebook, the GeoConnection page is a forum for students and

  6. Protean career: perspectives of study

    Directory of Open Access Journals (Sweden)

    Litvinova Ye.Yu.

    2013-06-01

    Full Text Available The article analyzes different approaches to study of models of constructing the employment career in current environment. The changes having taken place in interrelationsbetween employees and organizations over recent 15 years led to changes in their mutual expectations including the ones concerning the career development. Boundaryless career based on career mobility and protean career based on subjective understanding of career success are regarded as alternatives to traditional careers. The main attributes of “new careers” are: an increased independence in employee-organization dyads, low level of mutual obligations, freedom of choice, self-actualization, priority of career loyalty and self-management in contrast to organization loyalty. Changes in career conceptualizing inevitably led to revision of career competences. Traditional professional competences give way to career meta-competences like adaptiveness, capacity for education, self-management, taking responsibility. At the same time empirical studies displaya prematurity of statements about the expressed loss of interest to traditional careers.

  7. Use of Twitter to Encourage Interaction in a Multi-campus Pharmacy Management Course

    OpenAIRE

    Fox, Brent I.; Varadarajan, Ranjani

    2011-01-01

    Objective. To implement and assess the effectiveness of using Twitter to encourage interaction between faculty members, guests, and students in a pharmacy management course taught simultaneously on 2 campuses.

  8. Two Applications of Clustering Techniques to Twitter: Community Detection and Issue Extraction

    Directory of Open Access Journals (Sweden)

    Yong-Hyuk Kim

    2013-01-01

    Full Text Available Twitter’s recent growth in the number of users has redefined its status from a simple social media service to a mass media. We deal with clustering techniques applied to Twitter network and Twitter trend analysis. When we divide and cluster Twitter network, we can find a group of users with similar inclination, called a “Community.” In this regard, we introduce the Louvain algorithm and advance a partitioned Louvain algorithm as its improved variant. In the result of the experiment based on actual Twitter data, the partitioned Louvain algorithm supplemented the performance decline and shortened the execution time. Also, we use clustering techniques for trend analysis. We use nonnegative matrix factorization (NMF, which is a convenient method to intuitively interpret and extract issues on various time scales. By cross-verifying the results using NFM, we found that it has clear correlation with the actual main issue.

  9. Twitter and its Usage for Dialogic Stakeholder Communication by MNCs and NGOs

    DEFF Research Database (Denmark)

    Schoeneborn, Dennis; Inauen, Sarah

    2014-01-01

    practices by MNCs. In response, MNCs have started applying social media technologies for corporate communication purposes. However, given the novelty of these activities, we lack knowledge on how these organizations make use of social media. Therefore, in this chapter, we examine how MNCs and NGOs utilize...... one particular social media application, that is, Twitter, for dialogic stakeholder communication. In our empirical study, we examine current practices of Twitter usage by MNCs and NGOs. We investigate a dataset of more than 3,000 Twitter articles from 30 MNCs and 30 NGOs in the German-speaking world...... communication in the age of social media. Moreover, the study methodologically contributes to the study of social media in the context of corporate communication by applying the scale of “conceptual orality or literality” to MNCs’ and NGOs’ Twitter usage....

  10. Twitter Sentiment Analysis Applied to Finance: A Case Study in the Retail Industry

    OpenAIRE

    Th\\'arsis Tuani Pinto Souza; Olga Kolchyna; Philip C. Treleaven; Tomaso Aste

    2015-01-01

    This paper presents a financial analysis over Twitter sentiment analytics extracted from listed retail brands. We investigate whether there is statistically-significant information between the Twitter sentiment and volume, and stock returns and volatility. Traditional newswires are also considered as a proxy for the market sentiment for comparative purpose. The results suggest that social media is indeed a valuable source in the analysis of the financial dynamics in the retail sector even whe...

  11. Few Things About Idioms: Understanding Idioms and Its Users in the Twitter Online Social Network

    Science.gov (United States)

    2015-05-22

    Shreyasi Das1, Niloy Ganguly1, and Saptarshi Ghosh2,3 1 Department of CSE, Indian Institute of Technology Kharagpur, Kharagpur, India koustav.rudra...and Technology Shibpur, Howrah, India Abstract. To help users find popular topics of discussion, Twitter peri- odically publishes ‘trending topics...considering that it is a complex nine-class classification task. 3 URLs leading to social media sites like Facebook, Twitter, Instagram, are ignored

  12. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach

    Directory of Open Access Journals (Sweden)

    Junjun Yin

    2016-10-01

    Full Text Available Understanding human mobility patterns is of great importance for urban planning, traffic management, and even marketing campaign. However, the capability of capturing detailed human movements with fine-grained spatial and temporal granularity is still limited. In this study, we extracted high-resolution mobility data from a collection of over 1.3 billion geo-located Twitter messages. Regarding the concerns of infringement on individual privacy, such as the mobile phone call records with restricted access, the dataset is collected from publicly accessible Twitter data streams. In this paper, we employed a visual-analytics approach to studying multi-scale spatiotemporal Twitter user mobility patterns in the contiguous United States during the year 2014. Our approach included a scalable visual-analytics framework to deliver efficiency and scalability in filtering large volume of geo-located tweets, modeling and extracting Twitter user movements, generating space-time user trajectories, and summarizing multi-scale spatiotemporal user mobility patterns. We performed a set of statistical analysis to understand Twitter user mobility patterns across multi-level spatial scales and temporal ranges. In particular, Twitter user mobility patterns measured by the displacements and radius of gyrations of individuals revealed multi-scale or multi-modal Twitter user mobility patterns. By further studying such mobility patterns in different temporal ranges, we identified both consistency and seasonal fluctuations regarding the distance decay effects in the corresponding mobility patterns. At the same time, our approach provides a geo-visualization unit with an interactive 3D virtual globe web mapping interface for exploratory geo-visual analytics of the multi-level spatiotemporal Twitter user movements.

  13. En un lugar de Twitter: las andanzas del caballero don Quijote por la red del pajarito

    Directory of Open Access Journals (Sweden)

    Concepción Torres Begines

    2015-05-01

    Full Text Available Since the beginning of Twitter in 2006, we have attended to the born of a new way of writing according to the parameters imposed by the social network. Many studies have stated the existence of a new literary form known as twitterature in its most popular entry. In this article, we have tried to compile the most significant projects related to the role played by Don Quixote, the main work in the literature written in Spanish, in Twitter.

  14. Online Survey Data from Twitter and Archaeology Surveys 2011-2013

    Directory of Open Access Journals (Sweden)

    Lorna-Jane Richardson

    2014-11-01

    Full Text Available These survey results are from annual online surveys of Twitter users who are active volunteers or professional archaeologists worldwide. The data covers a variety of topics related to location of Twitter use, the type of device used, lists and followers, activity relating to archaeological topics, public engagement and archaeological networking online. There is scope for sentiment analysis, and further qualitative and quantitative analysis.

  15. Becoming More Than a Digital Bullhorn: Two Way Engagement on Twitter for Law Enforcement

    Science.gov (United States)

    2016-03-01

    a daily basis by its users, with 38 percent of its users signing in every day (compared to 70 percent for Facebook and 59 percent for Instagram ).66...for foreign-born social media companies .”140 Cho, Jung, and Park specifically studied the use of Twitter in the forty hours following the Japanese...source reviewed for this thesis that mentioned Klout, a private company that produces a score for individual Twitter users based on how influential

  16. A biased review of biases in Twitter studies on political collective action

    OpenAIRE

    Peter Cihon; Taha Yasseri

    2016-01-01

    In recent years researchers have gravitated to Twitter and other social media platforms as fertile ground for empirical analysis of social phenomena. Social media provides researchers access to trace data of interactions and discourse that once went unrecorded in the offline world. Researchers have sought to use these data to explain social phenomena both particular to social media and applicable to the broader social world. This paper offers a minireview of Twitter-based research on politica...

  17. Twitter for teaching: Can social media be used to enhance the process of learning?

    OpenAIRE

    Evans, C

    2013-01-01

    Can social media be used to enhance the process of learning by students in higher education? Social media have become widely adopted by students in their personal lives. However, the application of social media to teaching and learning remains to be fully explored. In this study, the use of the social media tool Twitter for teaching was considered. Undergraduate students in Business and Management (n = 252) were encouraged to use Twitter for communicating with their tutor and each other durin...

  18. Custom Career Expos.

    Science.gov (United States)

    Barnard, Tracie

    2001-01-01

    At Florida State University, the career placement staff tailors its career expos to the needs of students and employers. This article discusses how they market their expos; their online recruiter registration; how they recruit volunteers; and the importance of hospitality. (Author/MKA)

  19. The career distress scale

    DEFF Research Database (Denmark)

    Creed, Peter; Hood, Michelle; Praskova, Anna

    2016-01-01

    weaknesses. The absence of a practical, validated scale to assess this construct restricts research related to career distress and limits practitioners who need to assess and treat it. Using a sample of 226 young adults (mean age 20.5 years), we employed item response theory to assess 12 existing career...

  20. Career guidance in communities

    DEFF Research Database (Denmark)

    Thomsen, Rie

    The aim of this paper is to inspire practitioners and professionals to leave their offices to bring career guidance into communities that might not identify with career guidance in the first instance. By making the effort to engage with communities, practitioners may bring about a critical change...

  1. The Lifetime Career Manager.

    Science.gov (United States)

    Cabrera, James C.; Albrecht, Charles F., Jr.

    This book provides a road map for readers to plan and develop their careers. It suggests self-assessment, setting short- and long-term goals, and working toward identified goals in short increments. Beyond careers, attention is paid to lifestyles and personal values. The book is organized in 17 chapters that cover the following topics: (1) the…

  2. Career Development in Spain.

    Science.gov (United States)

    Talavera, Elvira Repetto; Moreno, Luisa Rodriguez; Romeo, Javier; Malik, Beatriz

    In Spain, the term "career development" refers to vocational or career guidance services. The 1983 Law on University Reform conferred on universities the freedom of teaching, endowing them with legal status and administrative powers. Thus, there are no regulations regarding guidance at this educational level. Guidance departments in…

  3. Health Inequality and Careers

    Science.gov (United States)

    Robertson, Peter J.

    2014-01-01

    Structural explanations of career choice and development are well established. Socioeconomic inequality represents a powerful factor shaping career trajectories and economic outcomes achieved by individuals. However, a robust and growing body of evidence demonstrates a strong link between socioeconomic inequality and health outcomes. Work is a key…

  4. Voices for Careers.

    Science.gov (United States)

    York, Edwin G.; Kapadia, Madhu

    Listed in this annotated bibliography are 502 cassette tapes of value to career exploration for Grade 7 through the adult level, whether as individualized instruction, small group study, or total class activity. Available to New Jersey educators at no charge, this Voices for Careers System is also available for duplication on request from the New…

  5. Bibliography on Career Education.

    Science.gov (United States)

    Bridgeport Public Schools, CT.

    A research bibliography for use by persons involved in implementing career education concepts, the document contains all of the commercially produced multimedia used by Connecticut's exemplary project in career education. The resources listed include books, films, filmstrips, records, cassettes, games, picture story study prints, kits, and…

  6. Exploring MBA Career Success

    Science.gov (United States)

    Hay, Amanda; Hodgkinson, Myra

    2006-01-01

    Purpose: The purpose of this paper is to examine the meaning of career success in relation to the attainment of an MBA degree, for a group of experienced managers. In so doing, the paper aims to consider the adequacy of MBA career success, defined solely in terms of external criteria. Design/methodology/approach: A total of 36 in-depth interviews…

  7. What Is "Career Ready"?

    Science.gov (United States)

    Association for Career and Technical Education, 2010

    2010-01-01

    All too often, the terms "career ready" and "college ready" are used interchangeably, and discussions around career readiness are limited to traditional academic skills that allow students to successfully enroll in postsecondary education. While there is no debate that a rigorous level of academic proficiency, especially in math and literacy, is…

  8. Social media and medical education: Exploring the potential of Twitter as a learning tool.

    Science.gov (United States)

    Jalali, Alireza; Sherbino, Jonathan; Frank, Jason; Sutherland, Stephanie

    2015-04-01

    This study set out to explore the ways in which social media can facilitate learning in medical education. In particular we were interested in determining whether the use of Twitter during an academic conference can promote learning for participants. The Twitter transcript from the annual International Conference on Residency Education (ICRE) 2013 was qualitatively analysed for evidence of the three overarching cognitive themes: (1) preconceptions, (2) frameworks, and (3) metacognition/refl ection in regard to the National Research Council ’ s (NRC) How People Learn framework . Content analysis of the Twitter transcript revealed evidence of the three cognitive themes as related to how people learn. Twitter appears to be most effective at stimulating individuals ’ preconceptions, thereby engaging them with the new material acquired during a medical education conference. The study of social media data, such as the Twitter data used in this study, is in its infancy. Having established that Twitter does hold signifi cant potential as a learning tool during an academic conference, we are now in a better position to more closely examine the spread, depth, and sustainability of such learning during medical education meetings.

  9. Student Perception towards Personal Branding of Political Leaders on Twitter Ahead of Presidential Election 2014

    Directory of Open Access Journals (Sweden)

    Bita Asrining Wulan

    2014-04-01

    Full Text Available Recent technology developments bring improvement for communication studies. Computer mediated communication (CMC theory ispotential to rapid messages send using computer with internet connection. Twitter is one of well-known social media, which is used by large number of societies, including our president candidates, e.g. Prabowo Subianto and Aburizal Bakrie. Majority twitter users are teenagers, because teenagers are active society and they use twitter to let themselves know about their upcoming president. Active society had explained in uses and gratification theory. This study aims to identify college student’s perception about politician’s personal branding on twitter lately before the election on 2014. This research is a descriptive research which used qualitative approach, and equipped with content analysis. This research usednon probability sampling to select the main informants, and also snowball sampling method. Results show that college student’s perceptionstowards Prabowo Subianto’s twitter were better than their perceptions to Aburizal Bakrie’s although Aburizal twitter’s management is much betterand friendly. Active and positive responses from college students didn’t influenced by politician’s personal branding. There are eight concepts in personal branding, known as the eight of law of personal branding. From the eight concepts, Prabowo Subianto known as a well behavior person with high nationalism while Aburizal Bakrie had very well law of visibility in twitter’s management.Key words : Perception of college students as twitter user, Politician’s Personal Branding

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

    Directory of Open Access Journals (Sweden)

    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.

  11. Real-Time Diffusion of Information on Twitter and the Financial Markets

    Science.gov (United States)

    Tafti, Ali; Zotti, Ryan; Jank, Wolfgang

    2016-01-01

    Do spikes in Twitter chatter about a firm precede unusual stock market trading activity for that firm? If so, Twitter activity may provide useful information about impending financial market activity in real-time. We study the real-time relationship between chatter on Twitter and the stock trading volume of 96 firms listed on the Nasdaq 100, during 193 days of trading in the period from May 21, 2012 to September 18, 2013. We identify observations featuring firm-specific spikes in Twitter activity, and randomly assign each observation to a ten-minute increment matching on the firm and a number of repeating time indicators. We examine the extent that unusual levels of chatter on Twitter about a firm portend an oncoming surge of trading of its stock within the hour, over and above what would normally be expected for the stock for that time of day and day of week. We also compare the findings from our explanatory model to the predictive power of Tweets. Although we find a compelling and potentially informative real-time relationship between Twitter activity and trading volume, our forecasting exercise highlights how difficult it can be to make use of this information for monetary gain. PMID:27504639

  12. Real-Time Diffusion of Information on Twitter and the Financial Markets.

    Science.gov (United States)

    Tafti, Ali; Zotti, Ryan; Jank, Wolfgang

    2016-01-01

    Do spikes in Twitter chatter about a firm precede unusual stock market trading activity for that firm? If so, Twitter activity may provide useful information about impending financial market activity in real-time. We study the real-time relationship between chatter on Twitter and the stock trading volume of 96 firms listed on the Nasdaq 100, during 193 days of trading in the period from May 21, 2012 to September 18, 2013. We identify observations featuring firm-specific spikes in Twitter activity, and randomly assign each observation to a ten-minute increment matching on the firm and a number of repeating time indicators. We examine the extent that unusual levels of chatter on Twitter about a firm portend an oncoming surge of trading of its stock within the hour, over and above what would normally be expected for the stock for that time of day and day of week. We also compare the findings from our explanatory model to the predictive power of Tweets. Although we find a compelling and potentially informative real-time relationship between Twitter activity and trading volume, our forecasting exercise highlights how difficult it can be to make use of this information for monetary gain.

  13. Italian codified hashtags for weather warning on Twitter - who is really using them?

    Science.gov (United States)

    Grasso, Valentina; Crisci, Alfonso; Morabito, Marco; Nesi, Paolo; Pantaleo, Gianni; Zaza, Imad; Gozzini, Bernardo

    2017-04-01

    During emergencies, an increasing number of messages are shared through social media platforms, becoming a primary source of information for lay people and emergency managers. Weather services and institutions have started to employ social media to deliver weather warnings even if sometimes this communication lacks in strategy. In Twitter, for example, hashtagging is very important to associate messages with certain topics; in recent years, codified hashtagging is emerging as a practical way to coordinate Twitter conversations during emergencies and quickly retrieve relevant information. In 2014, a syntax for codified hashtags for weather warning was proposed in Italy: a list of 20 hashtags, realized by combining #allertameteo (weather warning) + XXX, where final letters code the regional identification. This contribution presents a monitoring of Twitter usage of weather warning codified hashtags in Italy (since July 2015) and an analysis of different contexts. Twitter messages were retrieved using TwitterVigilance, a multi-users platform to crawl Twitter data, collect and store messages and perform quantitative analytics, about users, hashtags, tweets/retweets volumes. The Codified Hashtags data set is presented and discussed with main analytics and evaluation of regional contexts where it was successfully employed.

  14. Athletes’ careers across cultures

    DEFF Research Database (Denmark)

    Ryba, Tatiana; Stambulova, Natalia

    This symposium will introduce a project developed under the auspices of the International Society of Sport Psychology (ISSP) in an effort to inspire and support the development of culturally sensitive theoretical frameworks and research methodologies in career studies and career assistance services...... in this symposium continue the initiated dialogue of the relevance of culture and cultural issues in their analyses of how social and cultural discourses shape career development and career transitions of athletes in different countries. Opening the foundations of sport psychological knowledge to culturally diverse...... and, perhaps, unfamiliar intellectual traditions, perspectives and concerns, the symposium will demonstrate how local knowledge of problems enables researchers and practitioners to better understand the dynamics of cultural diversity within the topic of athlete career development and assistance....

  15. Career Path Descriptions

    CERN Document Server

    Charkiewicz, A

    2000-01-01

    Before the Career Path system, jobs were classified according to grades with general statutory definitions, guided by the "Job Catalogue" which defined 6 evaluation criteria with example illustrations in the form of "typical" job descriptions. Career Paths were given concise statutory definitions necessitating a method of description and evaluation adapted to their new wider-band salary concept. Evaluations were derived from the same 6 criteria but the typical descriptions became unusable. In 1999, a sub-group of the Standing Concertation Committee proposed a new guide for describing Career Paths, adapted to their wider career concept by expanding the 6 evaluation criteria into 9. For each criterion several levels were established tracing the expected evolution of job level profiles and personal competencies over their longer salary ranges. While providing more transparency to supervisors and staff, the Guide's official use would be by services responsible for vacancy notices, Career Path evaluations and rela...

  16. Security careers skills, compensation, and career paths

    CERN Document Server

    Walker, Stephen W

    2014-01-01

    The third edition of Security Careers is the authoritative reference for current job descriptions and pay practices of security, compliance, ethics, environmental, health and safety occupations. The job descriptions and compensation ranges in this report are drawn from research from the Foushée Group, which has been conducting this research since 1980. Security Careers includes more than 75 job descriptions for security-related positions, which range from the entry-level security guard to the top global corporate executive. It also provides four years of compensation trend data to give a th

  17. Applying Social Cognitive Career Theory to Training Career Counselors.

    Science.gov (United States)

    O'Brien, Karen M.; Heppner, Mary J.

    1996-01-01

    Applies the social cognitive career theory to training career counselors. Proposes extending the theory to understand and influence trainees' interest, engagement, and performance in career counseling. Suggestions are made for future research and for training students to be interested, involved, and skilled in providing career counseling. (FC)

  18. Social Cognitive Career Theory and Middle School Student Career Exploration

    Science.gov (United States)

    Sickinger, Pamela H.

    2013-01-01

    Within the framework of social cognitive career theory, social cognitive career variables, demographic variables, and the contextual variable, parent support, were examined to determine their predictive value for eighth-grade students' career exploration behavior. Results suggest that the social cognitive career variable, intentions/goals,…

  19. Social Cognitive Career Theory and Middle School Student Career Exploration

    Science.gov (United States)

    Sickinger, Pamela H.

    2013-01-01

    Within the framework of social cognitive career theory, social cognitive career variables, demographic variables, and the contextual variable, parent support, were examined to determine their predictive value for eighth-grade students' career exploration behavior. Results suggest that the social cognitive career variable, intentions/goals,…

  20. Narrating Career, Positioning Identity: Career Identity as a Narrative Practice

    Science.gov (United States)

    LaPointe, Kirsi

    2010-01-01

    In contrast to traditional definitions of career identity as an individual construct, this article argues for a discursive approach to career identity as a narrative practice. Career identity is conceptualized as a practice of articulating, performing and negotiating identity positions in narrating career experiences. By using the concept of…

  1. Developmental Issues in Career Maturity and Career Decision Status.

    Science.gov (United States)

    Patton, Wendy; Creed, Peter A.

    2001-01-01

    Reports cross-sectional data from 1,971 Australian adolescents who completed the Career Decision Scale and the Career Development Inventory. Results illustrate a developmental progression in career maturity, although a less uniform pattern emerged with gender differences. Findings regarding career indecision also presented a complex picture and…

  2. The Evaluation of Career Indecision in Career Development.

    Science.gov (United States)

    Lewko, John H.

    1994-01-01

    Examines research on career indecision through review of literature on variables consistently investigated as predictors of career indecision and tools incorporated to measure career indecision. Raises eight issues that would impact on evaluation efforts in area of career indecision. Encourages practitioners to test validity of mental models that…

  3. Career Development Assistance for Freshmen and Sophomores by Career Advisers

    OpenAIRE

    小玉, 小百合

    2005-01-01

    The Faculty of Lifelong Learning and Career Studies at Hosei University was established 2003 and from the beginning has provided a career development support system for undergraduates. The author of this paper assists freshman and sophomore undergraduates as a career adviser. This paper analyzes the actual support system of students and discusses two points:1. How to support students’ career development as career advisers.2. What kind of effect the support has on undergraduates.Undergrodu...

  4. Aging 2.0: health information about dementia on Twitter.

    Directory of Open Access Journals (Sweden)

    Julie M Robillard

    Full Text Available Online social media is widespread, easily accessible and attracts a global audience with a widening demographic. As a large proportion of adults now seek health information online and through social media applications, communication about health has become increasingly interactive and dynamic. Online health information has the potential to significantly impact public health, especially as the population gets older and the prevalence of dementia increases. However, little is known about how information pertaining to age-associated diseases is disseminated on popular social media platforms. To fill this knowledge gap, we examined empirically: (i who is using social media to share information about dementia, (ii what sources of information about dementia are promoted, and (iii which dementia themes dominate the discussion. We data-mined the microblogging platform Twitter for content containing dementia-related keywords for a period of 24 hours and retrieved over 9,200 tweets. A coding guide was developed and content analysis conducted on a random sample (10%, and on a subsample from top users' tweets to assess impact. We found that a majority of tweets contained a link to a third party site rather than personal information, and these links redirected mainly to news sites and health information sites. As well, a large number of tweets discussed recent research findings related to the prediction and risk management of Alzheimer's disease. The results highlight the need for the dementia research community to harness the reach of this medium and its potential as a tool for multidirectional engagement.

  5. Twitter: a good place to detect health conditions.

    Directory of Open Access Journals (Sweden)

    Víctor M Prieto

    Full Text Available With the proliferation of social networks and blogs, the Internet is increasingly being used to disseminate personal health information rather than just as a source of information. In this paper we exploit the wealth of user-generated data, available through the micro-blogging service Twitter, to estimate and track the incidence of health conditions in society. The method is based on two stages: we start by extracting possibly relevant tweets using a set of specially crafted regular expressions, and then classify these initial messages using machine learning methods. Furthermore, we selected relevant features to improve the results and the execution times. To test the method, we considered four health states or conditions, namely flu, depression, pregnancy and eating disorders, and two locations, Portugal and Spain. We present the results obtained and demonstrate that the detection results and the performance of the method are improved after feature selection. The results are promising, with areas under the receiver operating characteristic curve between 0.7 and 0.9, and f-measure values around 0.8 and 0.9. This fact indicates that such approach provides a feasible solution for measuring and tracking the evolution of health states within the society.

  6. Facebook and Twitter in Election Campaigns in Spain

    Directory of Open Access Journals (Sweden)

    Paloma Abejón Mendoza

    2012-01-01

    Full Text Available President Barack Obama has launched his re-election campaign by means of a digital video that he has sent over the Internet to 13 million supporters who helped drive his historical campaign in 2008. In the USA social networks are the main vehicles of election campaigns, but in Spain, for now, this is not the case. This aim of this investigation is to analyse the use that the leaders of the main political parties have made of social networks in the last municipal and regional elections held in Spain on 22 May 2011, taking the Madrid Autonomous Region candidates for the PP (People’s Party and PSOE (Socialist Party, Esperanza Aguirre and Tomás Gómez, respectively, as examples. We performed a qualitative and quantitative analysis of all the messages launched by both facebook and twitter and demonstrating the impact of networks on the election results in Spain has been practically nil. Spanish politicians have understood the importance of being in the nets, but they have not understood its true use. 15-M movement through social networks, monopolized the media information about the campaign, but the networks did not affect voting behavior.

  7. 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.

  8. Career Exploration among College Students

    Science.gov (United States)

    Fouad, Nadya A.; Ghosh, Arpita; Chang, Wen-hsin; Figueiredo, Catia; Bachhuber, Thomas

    2016-01-01

    College is a significant time for undergraduates to declare majors and choose career paths. For many undergraduates, choosing both a major and a career path is challenging. Research shows that many universities deliver career interventions through dedicated career decision-making courses (Mead & Korschgen, 1994). However, there has been…

  9. Holland's Theory and Career Assessment.

    Science.gov (United States)

    Reardon, Robert C.; Lenz, Janet G.

    1999-01-01

    Career assessment activities in the Self-Directed Search and constructs in Holland's theory increase understanding of an individual's personal career theory (PCT). The PCT provides information about a person's readiness for career decision making and the types of career interventions that might be effective. (Author/SK)

  10. Career Exploration among College Students

    Science.gov (United States)

    Fouad, Nadya A.; Ghosh, Arpita; Chang, Wen-hsin; Figueiredo, Catia; Bachhuber, Thomas

    2016-01-01

    College is a significant time for undergraduates to declare majors and choose career paths. For many undergraduates, choosing both a major and a career path is challenging. Research shows that many universities deliver career interventions through dedicated career decision-making courses (Mead & Korschgen, 1994). However, there has been…

  11. Holland's Theory and Career Assessment.

    Science.gov (United States)

    Reardon, Robert C.; Lenz, Janet G.

    1999-01-01

    Career assessment activities in the Self-Directed Search and constructs in Holland's theory increase understanding of an individual's personal career theory (PCT). The PCT provides information about a person's readiness for career decision making and the types of career interventions that might be effective. (Author/SK)

  12. "I Wanted to Predict Elections with Twitter and all I got was this Lousy Paper" -- A Balanced Survey on Election Prediction using Twitter Data

    CERN Document Server

    Gayo-Avello, Daniel

    2012-01-01

    Predicting X from Twitter is a popular fad within the Twitter research subculture. It seems both appealing and relatively easy. Among such kind of studies, electoral prediction is maybe the most attractive, and at this moment there is a growing body of literature on such a topic. This is not only an interesting research problem but, above all, it is extremely difficult. However, most of the authors seem to be more interested in claiming positive results than in providing sound and reproducible methods. It is also especially worrisome that many recent papers seem to only acknowledge those studies supporting the idea of Twitter predicting elections, instead of conducting a balanced literature review showing both sides of the matter. After reading many of such papers I have decided to write such a survey myself. Hence, in this paper, every study relevant to the matter of electoral prediction using social media is commented. From this review it can be concluded that the predictive power of Twitter regarding elect...

  13. The Mediation of Politics through Twitter: An Analysis of Messages posted during the Campaign for the German Federal Election 2013

    National Research Council Canada - National Science Library

    Jungherr, Andreas; Schoen, Harald; Jürgens, Pascal

    2016-01-01

    .... We identify characteristics of this mediation process by analyzing Twitter messages referring to politics during the campaign for the German federal election 2013 and comparing the thus emerging...

  14. #WhyWeTweetMH: Understanding Why People Use Twitter to Discuss Mental Health Problems.

    Science.gov (United States)

    Berry, Natalie; Lobban, Fiona; Belousov, Maksim; Emsley, Richard; Nenadic, Goran; Bucci, Sandra

    2017-04-05

    Use of the social media website Twitter is highly prevalent and has led to a plethora of Web-based social and health-related data available for use by researchers. As such, researchers are increasingly using data from social media to retrieve and analyze mental health-related content. However, there is limited evidence regarding why people use this emerging platform to discuss mental health problems in the first place. The aim of this study was to explore the reasons why individuals discuss mental health on the social media website Twitter. The study was the first of its kind to implement a study-specific hashtag for research; therefore, we also examined how feasible it was to circulate and analyze a study-specific hashtag for mental health research. Text mining methods using the Twitter Streaming Application Programming Interface (API) and Twitter Search API were used to collect and organize tweets from the hashtag #WhyWeTweetMH, circulated between September 2015 and November 2015. Tweets were analyzed thematically to understand the key reasons for discussing mental health using the Twitter platform. Four overarching themes were derived from the 132 tweets collected: (1) sense of community; (2) raising awareness and combatting stigma; (3) safe space for expression; and (4) coping and empowerment. In addition, 11 associated subthemes were also identified. The themes derived from the content of the tweets highlight the perceived therapeutic benefits of Twitter through the provision of support and information and the potential for self-management strategies. The ability to use Twitter to combat stigma and raise awareness of mental health problems indicates the societal benefits that can be facilitated via the platform. The number of tweets and themes identified demonstrates the feasibility of implementing study-specific hashtags to explore research questions in the field of mental health and can be used as a basis for other health-related research.

  15. Ophthalmology on social networking sites: an observational study of Facebook, Twitter, and LinkedIn

    Directory of Open Access Journals (Sweden)

    Micieli JA

    2015-02-01

    Full Text Available Jonathan A Micieli,1 Edmund Tsui2 1Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada; 2Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA Background: The use of social media in ophthalmology remains largely unknown. Our aim was to evaluate the extent and involvement of ophthalmology journals, professional associations, trade publications, and patient advocacy and fundraising groups on social networking sites. Methods: An archived list of 107 ophthalmology journals from SCImago, trade publications, professional ophthalmology associations, and patient advocacy organizations were searched for their presence on Facebook, Twitter, and LinkedIn. Activity and popularity of each account was quantified by using the number of “likes” on Facebook, the number of followers on Twitter, and members on LinkedIn. Results: Of the 107 journals ranked by SCImago, 21.5% were present on Facebook and 18.7% were present on Twitter. Journal of Community Eye Health was the most popular on Facebook and JAMA Ophthalmology was most popular on Twitter. Among the 133 members of the International Council of Ophthalmology, 17.3% were present on Facebook, 12.8% were present on Twitter, and 7.5% were present on LinkedIn. The most popular on Facebook was the International Council of Ophthalmology, and the American Academy of Ophthalmology was most popular on Twitter and LinkedIn. Patient advocacy organizations were more popular on all sites compared with journals, professional association, and trade publications. Among the top ten most popular pages in each category, patient advocacy groups were most active followed by trade publications, professional associations, and journals. Conclusion: Patient advocacy groups lead the way in social networking followed by professional organizations and journals. Although some journals use social media, most have yet to engage its full potential and maximize the number of

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

    Science.gov (United States)

    Schmitt, Marco

    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. PMID:28636619

  17. Composing and Arranging Careers

    Science.gov (United States)

    Schwartz, Elliott; And Others

    1977-01-01

    With the inspiration, the originality, the skill and craftsmanship, the business acumen, the patience, and the luck, it's possible to become a classical composer, pop/rock/country composer, jingle composer, or educational composer. Describes these careers. (Editor/RK)

  18. Agribusiness Career Exploration Winner

    Science.gov (United States)

    Gutshall, Bill

    1976-01-01

    Describes the planning, development, status, and instructional materials used in a career awaremess program in agribusiness in Chillicothe, Missouri. The four classes in the program and the results of an appraisal are also described. (HD)

  19. Insights on STEM Careers

    Energy Technology Data Exchange (ETDEWEB)

    Wendelberger, Joanne Roth [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2014-11-05

    This presentation will provide career advice for individuals seeking to go beyond just having a job to building a successful career in the areas of Science, Technology, Engineering, and Mathematics. Careful planning can be used to turn a job into a springboard for professional advancement and personal satisfaction. Topics to be addressed include setting priorities, understanding career ladders, making tough choices, overcoming stereotypes and assumptions by others, networking, developing a professional identify, and balancing a career with family and other personal responsibilities. Insights on the transition from individual technical work to leadership will also be provided. The author will draw upon experiences gained in academic, industrial, and government laboratory settings, as well as extensive professional service and community involvement.

  20. A smashing career choice

    CERN Multimedia

    Battersby, Stephen

    2007-01-01

    "There's more diversity in physics careers than you might think. Stephen Battersby talks to three very different phsicists, all doing their bit to help us learn more about the world we live in." (2 pages)

  1. A Career Development Model.

    Science.gov (United States)

    Sharf, Richard S.; And Others

    1979-01-01

    The students' task is more complex as different offices at a college or university sometimes provide overlapping career services. Lack of interdepartmental communication and cooperation may interfere in assisting students. The article offers suggestions for interdepartmental cooperation. (Author/CMG)

  2. Psychology students' career expectations

    Directory of Open Access Journals (Sweden)

    Eva Boštjančič

    2011-04-01

    Full Text Available Developing career expectations is a process through which young people get to know their own characteristics, skills, and values, assess their opportunities on the labor market, and develop various career plans and goals for themselves. In this study, 190 students completed the "Career Planning" questionnaire, which is composed of a series of open-response questions. The results showed that students have very little work experiences connected with psychology and more in administration, working with children, and volunteer work. They tend to evaluate their skills as high. Their career expectations are distributed by employment area, in which they draw attention to various obstacles in achieving their set goals, especially with regard to personality factors and financing. They primarily expect good interpersonal relations and working conditions from their future workplaces.

  3. Career practitioners' conceptions of social media in career services

    Science.gov (United States)

    Kettunen, Jaana; Vuorinen, Raimo; Sampson, James P.

    2013-01-01

    This article reports the outcomes of a study, undertaken from a phenomenographic perspective, of career practitioners’ conceptions of social media usage in career services. Fifteen Finnish career practitioners – representing comprehensive, secondary and higher education as well as public employment services – were interviewed in focus groups. The analysis of the interview data revealed five distinct descriptive categories reflecting the career practitioners’ conceptions of social media's use in career services. Social media in career services was conceived as (1) unnecessary, (2) dispensable, (3) a possibility, (4) desirable and (5) indispensable. The results indicated associations between career practitioners’ conceptions and their practice. Moreover, the critical aspects identified in this study can be used to support the career practitioners’ understanding of new technologies in career services. PMID:24009407

  4. Carolinas Energy Career Center

    Energy Technology Data Exchange (ETDEWEB)

    Classens, Anver; Hooper, Dick; Johnson, Bruce

    2013-03-31

    Central Piedmont Community College (CPCC), located in Charlotte, North Carolina, established the Carolinas Energy Career Center (Center) - a comprehensive training entity to meet the dynamic needs of the Charlotte region's energy workforce. The Center provides training for high-demand careers in both conventional energy (fossil) and renewable energy (nuclear and solar technologies/energy efficiency). CPCC completed four tasks that will position the Center as a leading resource for energy career training in the Southeast: • Development and Pilot of a New Advanced Welding Curriculum, • Program Enhancement of Non-Destructive Examination (NDE) Technology, • Student Support through implementation of a model targeted toward Energy and STEM Careers to support student learning, • Project Management and Reporting. As a result of DOE funding support, CPCC achieved the following outcomes: • Increased capacity to serve and train students in emerging energy industry careers; • Developed new courses and curricula to support emerging energy industry careers; • Established new training/laboratory resources; • Generated a pool of highly qualified, technically skilled workers to support the growing energy industry sector.

  5. Using Twitter for Teaching and Learning in an Oral and Maxillofacial Radiology Course.

    Science.gov (United States)

    Gonzalez, Shawneen M; Gadbury-Amyot, Cynthia C

    2016-02-01

    The aim of this study was to describe the implementation of one form of social media (Twitter) in an oral radiology course and evaluate dental students' use and perceptions of this technology for teaching and learning. An author-developed questionnaire was used to solicit second-year students' knowledge, use, and perceptions of Twitter for teaching and learning in an oral radiology course at one U.S. dental school. A combination of Likert scales, multiple allowable answers, and an open-ended comment question was employed. The questionnaire was piloted in spring 2010 followed by data collection in spring 2011. Out of 45 students, 40 (88.9%) completed the questionnaire. Of the respondents, 95% reported having not used Twitter prior to their second year of dental school; 55% of them created an account for the course. The top two reasons they gave for creating an account were viewing radiographic examples and staying informed about questions and answers that were posted. The top two reasons they gave for not creating an account were that the content was viewable online without an account and not wanting another online account. The students perceived the Twitter sessions as helpful and reported it improved accessibility to the instructor. The results of this study challenged the assumption that dental students are well versed in all forms of social media, but overall, these students agreed that the use of Twitter had enhanced the learning environment in the radiology course.

  6. Climate change on Twitter: topics, communities and conversations about the 2013 IPCC Working Group 1 report.

    Science.gov (United States)

    Pearce, Warren; Holmberg, Kim; Hellsten, Iina; Nerlich, Brigitte

    2014-01-01

    In September 2013 the Intergovernmental Panel on Climate Change published its Working Group 1 report, the first comprehensive assessment of physical climate science in six years, constituting a critical event in the societal debate about climate change. This paper analyses the nature of this debate in one public forum: Twitter. Using statistical methods, tweets were analyzed to discover the hashtags used when people tweeted about the IPCC report, and how Twitter users formed communities around their conversational connections. In short, the paper presents the topics and tweeters at this particular moment in the climate debate. The most used hashtags related to themes of science, geographical location and social issues connected to climate change. Particularly noteworthy were tweets connected to Australian politics, US politics, geoengineering and fracking. Three communities of Twitter users were identified. Researcher coding of Twitter users showed how these varied according to geographical location and whether users were supportive, unsupportive or neutral in their tweets about the IPCC. Overall, users were most likely to converse with users holding similar views. However, qualitative analysis suggested the emergence of a community of Twitter users, predominantly based in the UK, where greater interaction between contrasting views took place. This analysis also illustrated the presence of a campaign by the non-governmental organization Avaaz, aimed at increasing media coverage of the IPCC report.

  7. Impact of dual-polarization radar technology and Twitter on the Hattiesburg, Mississippi tornado.

    Science.gov (United States)

    Cates, Alexis L; Arnold, Brent W; Cooper, Guy Paul; Yeager, Violet; Stake, Josh; Ali, Mohammed; Calderone, Richard C; Wilkinson, James; Hsu, Edbert; Parrillo, Steven; Piper, Steven; Subbarao, Italo

    2013-12-01

    Dual-Polarization Radar and Twitter were analyzed to determine the impact on injuries sustained by the Hattiesburg EF-4 tornado. Tracking data provided from the Dual-Pol radar systems in National Weather Service Jackson were reviewed. Twitter data from four local Twitter handles were obtained. The change in tweets and followers for the day of the storm were compared to historical averages. A Student t-test was utilized in determining statistical significance (ptornado. An Injury Severity Score (ISS) was calculated for trauma records related to the tornado. Radar detection of the tornado gave approximately 30 minutes of advanced warning time. Statistical significance in follower growth was seen in all four Twitter handles. Out of 50 patients, the average ISS was 3.9 with a range of 1 to 29. There were zero fatalities. An ISS average of 3.9 was significantly less than two previous tornadoes of similar strength that occurred prior to increased usage of Dual-pol radar and Twitter as a means for communicating severe weather information. Early detection from Dual-pol radar improved warning time. Tweets informed citizens to seek appropriate shelter. (Disaster Med Public Health Preparedness. 2013;7:585-592).

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

    Science.gov (United States)

    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.

  9. PROTOTIPE MONITORING KETINGGIAN AIR BENDUNGAN MELALUI MEDIA SOSIAL TWITTER BERBASIS MIKROKONTROLER ATMEGA-328PU

    Directory of Open Access Journals (Sweden)

    I G.M Sugiri Arnawa

    2015-12-01

    Full Text Available The prototype of this dam water level monitoring function to provide information about the dam water level through social media twitter and speakers. Information on twitter social media can be found by following the twitter account of this tool . The prototype consists of a microcontroller Arduino Uno , HC - SR04 sensor , LCD , WTV020SD and the Ethernet Shield . Sensor HC - SR04 , read the value of the dam water level based on emission and reflection of ultrasonic waves . Arduino Uno microcontroller will process and display the sensor input from HC - SR04 form of dam water level on the LCD and sent via ethernet shield to social media twitter . WTV020SD serves to ring the speaker on the water level 10 cm , 20 cm , 30 cm and 40 cm . The sound emitted is the normal condition of the dam , flood alert , flood alert and flood . Water level measurement results on LCD , manual measurement and display on twitter social media have gotten the same results .

  10. Climate Change on Twitter: Topics, Communities and Conversations about the 2013 IPCC Working Group 1 Report

    Science.gov (United States)

    Pearce, Warren; Holmberg, Kim; Hellsten, Iina; Nerlich, Brigitte

    2014-01-01

    In September 2013 the Intergovernmental Panel on Climate Change published its Working Group 1 report, the first comprehensive assessment of physical climate science in six years, constituting a critical event in the societal debate about climate change. This paper analyses the nature of this debate in one public forum: Twitter. Using statistical methods, tweets were analyzed to discover the hashtags used when people tweeted about the IPCC report, and how Twitter users formed communities around their conversational connections. In short, the paper presents the topics and tweeters at this particular moment in the climate debate. The most used hashtags related to themes of science, geographical location and social issues connected to climate change. Particularly noteworthy were tweets connected to Australian politics, US politics, geoengineering and fracking. Three communities of Twitter users were identified. Researcher coding of Twitter users showed how these varied according to geographical location and whether users were supportive, unsupportive or neutral in their tweets about the IPCC. Overall, users were most likely to converse with users holding similar views. However, qualitative analysis suggested the emergence of a community of Twitter users, predominantly based in the UK, where greater interaction between contrasting views took place. This analysis also illustrated the presence of a campaign by the non-governmental organization Avaaz, aimed at increasing media coverage of the IPCC report. PMID:24718388

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

    Directory of Open Access Journals (Sweden)

    Kim L. Viljoen

    2016-04-01

    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.

  12. Conversations between Twitter social media and historical archives: a digital curation study

    Directory of Open Access Journals (Sweden)

    Maria José Vicentini Jorente

    2017-04-01

    Full Text Available Introduction: Digital Curation, in post-custodial times, convergent to Information Design, propose curation strategies; among the steps to be performed, is the interaction. Twitter helps with this approach and communication, facilitates information sharing as well as enables the storytelling Curation. Objective: To present innovative Digital Curation initiatives in Twitter and its potential to share information preserved by Public Historical Archives. Methodology: We characterize it as a theoretical and exploratory research on the application of Twitter in the perspective of Digital Curation, interdisciplinary to Information Science. Ten public historical archives were analyzed, in which their convergence with Twitter was verified; and an investigation of two archives profiles to identify their contents was conducted. Finally, initiatives to narrate historical events are presented. Results: Twitter offers Archives the possibility to work on historical event narratives; simultaneously publish on the platform the basic documents of the narration and build a diverse digital collection of what is physically kept by the institution. Conclusions: Actions described in Digital Curation are the activities of postcustodial nature information professionals perform in Archives. We emphasize that the post-custodial term consists of a temporal category and we can add the concept of extended custody, which is not temporal, but of extension.

  13. Interest in a Twitter-delivered weight loss program among women of childbearing age.

    Science.gov (United States)

    Waring, Molly E; Schneider, Kristin L; Appelhans, Bradley M; Simas, Tiffany A Moore; Xiao, Rui S; Whited, Matthew C; Busch, Andrew M; Evans, Martinus M; Pagoto, Sherry L

    2016-06-01

    Weight management through the childbearing years is important, yet few women have access to efficacious weight loss programs. Online social network-delivered programs may increase reach and thus impact. The aim of this study was to gauge interest in a Twitter-based weight loss intervention among women of childbearing age and the feasibility of recruitment via Twitter. We recruited English-speaking women aged 18-45 years (N = 63) from Twitter to complete an anonymous online survey including open-ended questions about program advantages and concerns. Forty percent of participants were obese and 83 % were trying to lose weight. Eighty-one percent were interested in a Twitter-delivered weight loss program. Interest was high in all subgroups (62-100 %). Participants (59 %) cited program advantages, including convenience, support/accountability, and privacy. Concerns (59 %) included questions about privacy, support/accountability, engagement, efficacy, and technology barriers. Research is needed to develop and evaluate social media-delivered interventions, and to develop methods for recruiting participants directly from Twitter.

  14. Translating evidence to practice in the health professions: a randomized trial of Twitter vs Facebook.

    Science.gov (United States)

    Tunnecliff, Jacqueline; Weiner, John; Gaida, James E; Keating, Jennifer L; Morgan, Prue; Ilic, Dragan; Clearihan, Lyn; Davies, David; Sadasivan, Sivalal; Mohanty, Patitapaban; Ganesh, Shankar; Reynolds, John; Maloney, Stephen

    2017-03-01

    Our objective was to compare the change in research informed knowledge of health professionals and their intended practice following exposure to research information delivered by either Twitter or Facebook. This open label comparative design study randomized health professional clinicians to receive "practice points" on tendinopathy management via Twitter or Facebook. Evaluated outcomes included knowledge change and self-reported changes to clinical practice. Four hundred and ninety-four participants were randomized to 1 of 2 groups and 317 responders analyzed. Both groups demonstrated improvements in knowledge and reported changes to clinical practice. There was no statistical difference between groups for the outcomes of knowledge change (P = .728), changes to clinical practice (P = .11) or the increased use of research information (P = .89). Practice points were shared more by the Twitter group (P Facebook group (P Facebook can improve clinician knowledge and promote behavior change. No differences in these outcomes were observed between the Twitter and Facebook groups. Brief social media posts are as effective as longer posts for improving knowledge and promoting behavior change. Twitter may be more useful in publicizing information and Facebook for encouraging course completion.

  15. Climate change on Twitter: topics, communities and conversations about the 2013 IPCC Working Group 1 report.

    Directory of Open Access Journals (Sweden)

    Warren Pearce

    Full Text Available In September 2013 the Intergovernmental Panel on Climate Change published its Working Group 1 report, the first comprehensive assessment of physical climate science in six years, constituting a critical event in the societal debate about climate change. This paper analyses the nature of this debate in one public forum: Twitter. Using statistical methods, tweets were analyzed to discover the hashtags used when people tweeted about the IPCC report, and how Twitter users formed communities around their conversational connections. In short, the paper presents the topics and tweeters at this particular moment in the climate debate. The most used hashtags related to themes of science, geographical location and social issues connected to climate change. Particularly noteworthy were tweets connected to Australian politics, US politics, geoengineering and fracking. Three communities of Twitter users were identified. Researcher coding of Twitter users showed how these varied according to geographical location and whether users were supportive, unsupportive or neutral in their tweets about the IPCC. Overall, users were most likely to converse with users holding similar views. However, qualitative analysis suggested the emergence of a community of Twitter users, predominantly based in the UK, where greater interaction between contrasting views took place. This analysis also illustrated the presence of a campaign by the non-governmental organization Avaaz, aimed at increasing media coverage of the IPCC report.

  16. Estrategias comunicativas de escritores españoles en Twitter/ Communication strategies of Spanish writers on Twitter

    Directory of Open Access Journals (Sweden)

    Flávia Gomes-Franco e Silva

    2016-01-01

    Full Text Available El modelo comunicativo característico de la web 2.0 ha proporcionado nuevos escaparates institucionales, corporativos y personales basados en la interactividad derivada de las herramientas digitales de carácter social. En un entorno cambiante, es menester revisar las estrategias y tácticas aplicadas a la autopromoción con el propósito de adaptarlas conforme a las posibilidades que ofrecen los canales interactivos. El presente estudio tiene por objeto el análisis de las principales estrategias de comunicación y marketing personal empleadas por los escritores españoles en Twitter. La metodología utilizada comprende un análisis sistemático cuantitativo de los perfiles de una muestra de reconocidos autores con el fin de identificar las principales tácticas empleadas por ellos en la mencionada red social. Los resultados evidencian el interés del colectivo analizado por garantizar su presencia en la web social, incorporando a su rutina la práctica del microblogging. En esta dinámica, se percatan igualmente la construcción de una imagen y una marca personal más cercanas y transparentes que las que suelen ofrecer los canales tradicionales, incidiendo a menudo en los intereses personales de los escritores. Se observa asimismo una autopromoción que camina hacia la horizontalidad pese a que presente aún vestigios de la verticalidad propia de la comunicación tradicionalmente impuesta y unidireccional. The Web 2.0 communication model has provided new institutional, corporate, and personal showcases based on the interactivity that derived from the social character of the digital tools. In a changing environment, it becomes necessary to review the strategies and tactics applied to self-promotion in order to adapt them according to the possibilities offered by interactive channels. This study aims to analyze the main strategies of communication and personal marketing used by Spanish writers on Twitter. The methodology includes a quantitative

  17. Aplicación Android de Twitter extendida consumiendo un servicio REST y sus pruebas

    OpenAIRE

    Moscoso León, Katherin; García Alcalá, Salvador José

    2016-01-01

    En este proyecto se pretende realizar una aplicación cliente de Twitter con Android, que permita al usuario realizar tareas sencillas interactuando con la aplicación de Twitter. Este proyecto pretende ser una guía básica para explicar cómo realiza la conexión con una aplicación con Twitter y explicar las ventajas del uso de Android. Por un lado, la tecnología Android es una las tecnologías más punteras en el desarrollo de móviles en la actualidad, actualmente es líder en el mercado en la ...

  18. 140 Characters to Victory?: Using Twitter to Predict the UK 2015 General Election

    CERN Document Server

    Burnap, Pete; Sloan, Luke; Southern, Rosalynd; Williams, Matthew

    2015-01-01

    The election forecasting 'industry' is a growing one, both in the volume of scholars producing forecasts and methodological diversity. In recent years a new approach has emerged that relies on social media and particularly Twitter data to predict election outcomes. While some studies have shown the method to hold a surprising degree of accuracy there has been criticism over the lack of consistency and clarity in the methods used, along with inevitable problems of population bias. In this paper we set out a 'baseline' model for using Twitter as an election forecasting tool that we then apply to the UK 2015 General Election. The paper builds on existing literature by extending the use of Twitter as a forecasting tool to the UK context and identifying its limitations, particularly with regard to its application in a multi-party environment with geographic concentration of power for minor parties.

  19. Researchers’ communication on Twitter. A virtual ethnography in the area of information science

    Directory of Open Access Journals (Sweden)

    Belén Álvarez-Bornstein

    2016-12-01

    Full Text Available The present article analyzes the scientific communication that takes place on Twitter. Its aim is to understand and describe the types of scientific activities that occur on this platform, by identifying the type of information exchanged and the activities that researchers perform. Thus we attempt to better understand the number of times that research work is mentioned within a specific context. We followed a group of researchers and professionals with Twitter profiles who had published at least 3 articles in the journal EPI between 2009 and 2013. The research methodology was qualitative using virtual ethnography based on non-participant observation. Among the main conclusions, we found that researchers use Twitter mostly as a way to make their professional activity public and to disseminate their own research works or those of close collaborators, in order to give them more visibility and impact.

  20. Microblogging for Language Learning: Using Twitter to Train Communicative and Cultural Competence

    Science.gov (United States)

    Borau, Kerstin; Ullrich, Carsten; Feng, Jinjin; Shen, Ruimin

    Our work analyzes the usefulness of microblogging in second language learning using the example of the social network Twitter. Most learners of English do not require even more passive input in form of texts, lectures or videos, etc. This input is readily available in numerous forms on the Internet. What learners of English need is the chance to actively produce language and the chance to use English as tool of communication. This calls for instructional methods and tools promoting ‘active’ learning that present opportunities for students to express themselves and interact in the target language. In this paper we describe how we used Twitter with students of English at the Distant College of Shanghai Jiao Tong University. We analyze the students’ messages and show how the usage of Twitter trained communicative and cultural competence.

  1. A Biased Review of Biases in Twitter Studies on Political Collective Action

    CERN Document Server

    Cihon, Peter

    2016-01-01

    In recent years researchers have gravitated to social media platforms, especially Twitter, as fertile ground for empirical analysis of social phenomena. Social media provides researchers access to trace data of interactions and discourse that once went unrecorded in the offline world. Researchers have sought to use these data to explain social phenomena both particular to social media and applicable to the broader social world. This paper offers a minireview of Twitter-based research on political crowd behavior. This literature offers insight into particular social phenomena on Twitter, but often fails to use standardized methods that permit interpretation beyond individual studies. Moreover, the literature fails to ground methodologies and results in social or political theory, divorcing empirical research from the theory needed to interpret it. Rather, papers focus primarily on methodological innovations for social media analyses, but these too often fail to sufficiently demonstrate the validity of such met...

  2. Engaging Stakeholders through Twitter: How Nonprofit Organizations are Getting More Out of 140 Characters or Less

    CERN Document Server

    Lovejoy, Kristen; Saxton, Gregory D

    2011-01-01

    140 characters seems like too small a space for any meaningful information to be exchanged, but Twitter users have found creative ways to get the most out of each Tweet by using different communication tools. This paper looks into how 73 nonprofit organizations use Twitter to engage stakeholders not only through their tweets, but also through other various communication methods. Specifically, it looks into the organizations' utilization of tweet frequency, following behavior, hyperlinks, hashtags, public messages, retweets, and multimedia files. After analyzing 4,655 tweets, the study found that the nation's largest nonprofits are not using Twitter to maximize stakeholder involvement. Instead, they continue to use social media as a one-way communication channel, as less than 20% of their total tweets demonstrate conversations and roughly 16% demonstrate indirect connections to specific users.

  3. 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.

  4. Forecasting the onset and course of mental illness with Twitter data

    CERN Document Server

    Reece, Andrew G; Lix, Katharina L M; Dodds, Peter Sheridan; Danforth, Christopher M; Langer, Ellen J

    2016-01-01

    We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We extracted predictive features measuring affect, linguistic style, and context from participant tweets (N=279,951) and built models using these features with supervised learning algorithms. Resulting models successfully discriminated between depressed and healthy content, and compared favorably to general practitioners' average success rates in diagnosing depression. Results held even when the analysis was restricted to content posted before first depression diagnosis. State-space temporal analysis suggests that onset of depression may be detectable from Twitter data several months prior to diagnosis. Predictive results were replicated with a separate sample of individuals diagnosed with PTSD (174 users, 243,775 tweets). A state-space time series model revealed indicators o...

  5. Tweet against Nazis? Twitter, power, and networked publics in anti-fascist protests

    Directory of Open Access Journals (Sweden)

    Christina Neumayer

    2013-12-01

    Full Text Available In this article we address the question of power in networked publics on Twitter in anti-fascist protests. The study is based on the results of an analysis of tweets, that are part of a data-set of three qualitative case studies about nationalist demonstrations in Germany, accompanied by counter-protests of anti-fascist groups, NGOs, and civil society. The question asked within this framework is how Twitter is used in the power struggles of the anti-fascist counter protests. The article concludes with the identification of tactics, practices, and strategies by activists for contesting power but also the reproduction of power on Twitter in interplay between functionalities of the technology and the political, i.e. socio-cultural, context. This leads us to a discussion about power in and between networked publics as part of a communication spiral in a larger media environment.

  6. The case of #arseniclife: Blogs and Twitter in informal peer review.

    Science.gov (United States)

    Yeo, Sara K; Liang, Xuan; Brossard, Dominique; Rose, Kathleen M; Korzekwa, Kaine; Scheufele, Dietram A; Xenos, Michael A

    2016-05-26

    Using the "#arseniclife" controversy as a case study, we examine the roles of blogs and Twitter in post-publication review. The controversy was initiated by a scientific article about bacteria able to substitute arsenic for phosphorus in its genetic material. We present the debate chronologically, using prominent online media to reconstruct the events. Using tweets that discussed the controversy, we conducted quantitative sentiment analysis to examine skeptical and non-skeptical tones on Twitter. Critiques of and studies refuting the arsenic life hypothesis were publicized on blogs before formal publication in traditional academic spaces and were shared on Twitter, influencing issue salience among a range of audiences. This case exemplifies the role of new media in informal post-publication peer review, which can complement traditional peer review processes. The implications drawn from this case study for future conduct and transparency of both formal and informal peer review are discussed.

  7. Twitter as a tool to enhance student engagement during an interprofessional patient safety course.

    Science.gov (United States)

    Mckay, Mary; Sanko, Jill Steiner; Shekhter, Ilya; Birnbach, David J

    2014-11-01

    Twitter and other social media forums are gaining popularity in both the academic and conference arenas as tools to increase participant engagement, attention and interaction. While Twitter has been used successfully to engage college students, it has not been explored for use in an interprofessional curriculum. We sought to explore it as a method to foster student engagement. During a weeklong interprofessional patient safety course we invited students and faculty to participate in a Twitter conversation. It was found that this form of social media successfully captured a "behind the scenes" conversation and the experiences of the students which would have not been otherwise captured. This information is guiding future interprofessional educational programming in both the medical and nursing schools.

  8. The Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter

    CERN Document Server

    Nguyen, Vu Dung; Barker, Adam

    2013-01-01

    Analysis of information retrieved from microblogging services such as Twitter can provide valuable insight into public sentiment in a geographic region. This insight can be enriched by visualising information in its geographic context. Two underlying approaches for sentiment analysis are dictionary-based and machine learning. The former is popular for public sentiment analysis, and the latter has found limited use for aggregating public sentiment from Twitter data. The research presented in this paper aims to extend the machine learning approach for aggregating public sentiment. To this end, a framework for analysing and visualising public sentiment from a Twitter corpus is developed. A dictionary-based approach and a machine learning approach are implemented within the framework and compared using one UK case study, namely the royal birth of 2013. The case study validates the feasibility of the framework for analysis and rapid visualisation. One observation is that there is good correlation between the resul...

  9. The Sentiment Trend Analysis of Twitter Based on Set Pair Contact Degree

    Directory of Open Access Journals (Sweden)

    Chunying Zhang

    2013-01-01

    Full Text Available Sentiment trend of twitter users have a great influence on their friends and the crowd listened. This paper directs at the user sentiment state of twitter, the unique medium, and applies set pair analysis method for trend analysis. First, we begin with set pair contact degree, then based on set pair affective computing model to make comparison with the size relationship of same degree, difference degree, opposition degree of the emotion, to build the user sentiment trend analysis model; Secondly, we analyze the influence for the user's own sentiment trend when the value changed of difference coefficient ; thirdly, after analyze to obtain one user's sentiment orientation threshold as prerequisite for user behavior prediction. Finally, setting an example to calculate the sentiment trend of one twitter, then to get the conclusion is that the analysis of user emotion from a three-dimensional angle is more realistic than the single angle.

  10. New platform, old habits? Candidates’ use of Twitter during the 2010 British and Dutch general election campaigns

    NARCIS (Netherlands)

    Graham, Todd; Jackson, Dan; Broersma, Marcel

    2016-01-01

    Twitter has become one of the most important online spaces for political communication practice and research. Through a hand-coded content analysis, this study compares how British and Dutch Parliamentary candidates used Twitter during the 2010 general elections. We found that Dutch politicians were

  11. Tweet for the cure: A snapshot of Twitter usage by 3 U.S. oncologic professional societies

    Directory of Open Access Journals (Sweden)

    Sachin R. Jhawar, MD

    2017-07-01

    Conclusion: ASTRO's use of Twitter lags behind ASCO and SSO. Although all 3 societies show increased Twitter use during their annual meetings, they should work toward more meaningful engagement throughout the year. The new metrics of tweet density and supporter ratio will serve as benchmarks for member engagement in future studies.

  12. Twitter as a Teaching Practice to Enhance Active and Informal Learning in Higher Education: The Case of Sustainable Tweets

    Science.gov (United States)

    Kassens-Noor, Eva

    2012-01-01

    With the rise of Web 2.0, a multitude of new possibilities on how to use these online technologies for active learning has intrigued researchers. While most instructors have used Twitter for in-class discussions, this study explores the teaching practice of Twitter as an active, informal, outside-of-class learning tool. Through a comparative…

  13. Tweet Up? Examining Twitter's Impact on Social Capital and?Digital Citizenship in Higher Education

    Science.gov (United States)

    Acosta, Danielle Morgan

    2014-01-01

    Twitter is a highly accessible communication venue that is embraced by great numbers of traditionally aged and ethnically diverse college students. Danielle Morgan Acosta challenges us to turn our research and teaching attention to the potential of Twitter to support student learning.

  14. New platform, old habits? Candidates’ use of Twitter during the 2010 British and Dutch general election campaigns

    NARCIS (Netherlands)

    Graham, Todd; Jackson, Dan; Broersma, Marcel

    Twitter has become one of the most important online spaces for political communication practice and research. Through a hand-coded content analysis, this study compares how British and Dutch Parliamentary candidates used Twitter during the 2010 general elections. We found that Dutch politicians were

  15. Design of Path Metric Memory Unit with Longer Constrain Length in Viterbi Decoder%大约束度Viterbi译码器中路径存储单元的设计

    Institute of Scientific and Technical Information of China (English)

    王春光; 陈新

    2007-01-01

    维特比(Viterbi)译码器由于其优良的纠错性能,在通信领域有着十分广泛的应用.用FPGA实现Viterbi译码算法时,其硬件资源的消耗与译码速度始终是相互制约的两个方面,通过合理安排加比选单元和路径度量存储单元可有效缓解这一矛盾.基于基4算法所提出的同址路径度量存储管理方法能在提高译码速度同时有效降低译码器的硬件资源需求.

  16. Rubbernecking Effect of Intimate Information on Twitter: When Getting Attention Works Against Interpersonal Attraction.

    Science.gov (United States)

    Baruh, Lemi; Cemalcılar, Zeynep

    2015-09-01

    Social networking sites offer individuals an opportunity to document and share information about themselves, as well as engaging in social browsing to learn about others. As a micro-blogging site within which users often share information publicly, Twitter may be a particularly suitable venue that can help satisfy both of these motivations. This study investigates how viewers react to disclosure of intimate information on Twitter. Specifically, the impact of disclosure intimacy is studied on attention that viewers pay to a Twitter page, reduction in their uncertainty about the attributes of the page owner, and their interpersonal attraction to the owner of the page. A total of 618 adult online panel members viewed one of six Twitter pages that contained either low-intimacy or high-intimacy tweets. Analyses indicated that viewers exposed to the Twitter pages containing high-intimate information paid more attention to the pages, were more confident about the attributions they could make about the page owner, yet were less willing to pursue further socialization with the page owner. Furthermore, attributional confidence mediated and perceived similarity moderated the relationship between disclosure intimacy and interpersonal attraction. This interaction between disclosure intimacy and perceived similarity was such that viewers who considered the page owner to be similar (dissimilar) to themselves were more (less) socially attracted to page owners who disclosed intimate information. These findings suggest that while intimate information shared on a Twitter page draws attention, this does not necessarily result in further socialization with the page owner--an effect we named as the "rubbernecking effect" of intimate information.

  17. Ophthalmology on social networking sites: an observational study of Facebook, Twitter, and LinkedIn.

    Science.gov (United States)

    Micieli, Jonathan A; Tsui, Edmund

    2015-01-01

    The use of social media in ophthalmology remains largely unknown. Our aim was to evaluate the extent and involvement of ophthalmology journals, professional associations, trade publications, and patient advocacy and fundraising groups on social networking sites. An archived list of 107 ophthalmology journals from SCImago, trade publications, professional ophthalmology associations, and patient advocacy organizations were searched for their presence on Facebook, Twitter, and LinkedIn. Activity and popularity of each account was quantified by using the number of "likes" on Facebook, the number of followers on Twitter, and members on LinkedIn. Of the 107 journals ranked by SCImago, 21.5% were present on Facebook and 18.7% were present on Twitter. Journal of Community Eye Health was the most popular on Facebook and JAMA Ophthalmology was most popular on Twitter. Among the 133 members of the International Council of Ophthalmology, 17.3% were present on Facebook, 12.8% were present on Twitter, and 7.5% were present on LinkedIn. The most popular on Facebook was the International Council of Ophthalmology, and the American Academy of Ophthalmology was most popular on Twitter and LinkedIn. Patient advocacy organizations were more popular on all sites compared with journals, professional association, and trade publications. Among the top ten most popular pages in each category, patient advocacy groups were most active followed by trade publications, professional associations, and journals. Patient advocacy groups lead the way in social networking followed by professional organizations and journals. Although some journals use social media, most have yet to engage its full potential and maximize the number of potential interested individuals.

  18. Career Flow: A Hope-Centered Model of Career Development

    Science.gov (United States)

    Niles, Spencer G.

    2011-01-01

    In this article, the author describes an innovative approach for conceptualizing and managing career development tasks in the 21st century. Theoretical foundations and key concepts related to career flow theory are discussed.

  19. Effects of Discipline-based Career Course on Nursing Students' Career Search Self-efficacy, Career Preparation Behavior, and Perceptions of Career Barriers

    Directory of Open Access Journals (Sweden)

    Soonjoo Park, RN, PhD

    2015-09-01

    Conclusions: The discipline-based career course was effective in decreasing perceptions of career barriers and increasing career search self-efficacy and career preparation behavior among nursing students.

  20. Career management: an active process.

    Science.gov (United States)

    Mackowiak, J; Eckel, F M

    1985-03-01

    The self-assessment, goal-setting, and career-planning techniques of career management are discussed, and the organization's role in career management is discussed. Career management is a planned process, initiated and carried out by an individual with the assistance of others. Because work and nonwork activities are so interrelated, career and life management planning can maximize a pharmacist's personal success. The career- and life-management process begins with the development of a personal definition of success. A self-assessment must be made of one's values, needs, interests, and activities. The next step of the process involves setting goals and establishing a plan or strategy to achieve them. Establishing a career path requires researching alternate career goals. Career competencies are identified that can increase an employee's chances of success. The employer shares the responsibility for career development through coaching, job structuring, and keeping the employee aware of constraints. Through the integration of the roles of the individual and the organization in the career-management process, employees can optimize their contribution to an organization. Pharmacists can successfully manage their careers by applying the techniques of self-assessment, goal setting, and career planning.