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NORMALIZING TWITTER

Dominic L. Lasorsa, Seth C. Lewis, Avery E. Holton
2012 Journalism Studies  
content with their followers.  ...  to relinquish their gatekeeping role by sharing their stage with other news gatherers and commentators, or to provide accountability and transparency by providing information about their jobs, engaging  ...  However, there was no statistically significant difference in the two groups' retweeting behavior.  ... 
doi:10.1080/1461670x.2011.571825 fatcat:cyssg642k5ezpb36ijdcua7eru

How News Agencies' Twitter Posts on COVID-19 Vaccines Attract Audiences' Twitter Engagement: A Content Analysis

Di Wang, Jiahui Lu
2022 International Journal of Environmental Research and Public Health  
Based on the health belief model (HBM), we examined which constructs in the HBM were related to audiences' Twitter engagement and the differences among the agencies.  ...  The results showed that the most-used HBM construct was barriers, followed by benefits, susceptibility, cues to action, severity, and self-efficacy.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph19052716 pmid:35270408 pmcid:PMC8910090 fatcat:2jwkiojw6vai7eb5tcaeq6aviy

Engagement with Health Agencies on Twitter

Sanmitra Bhattacharya, Padmini Srinivasan, Phil Polgreen, Patrick S. Sullivan
2014 PLoS ONE  
Our specific goals are to study factors related to a) numbers of retweets, b) time between the agency tweet and first retweet and c) time between the agency tweet and last retweet.  ...  Account features include network centrality, tweet count, numbers of friends, followers, and favorites.  ...  Our observations regarding hashtags, user-mentions and URLs are also interesting because of differences in their prevalence between our dataset and Twitter data in general.  ... 
doi:10.1371/journal.pone.0112235 pmid:25379727 pmcid:PMC4224440 fatcat:dkxxsoqtfrdc3mv3zo2nzjmj54

Modeling and Predicting News Consumption on Twitter

Claudia Orellana-Rodriguez, Mark T. Keane
2018 Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization - UMAP '18  
We apply the TNM to a dataset of interactions between users and journalists/newspapers to reveal what drives users' consumption of news on Twitter, and predictively relate users' news beliefs, motivations  ...  In this paper, we present the Twitter News Model (TNM), a computational data-driven approach to elucidate the dynamics of news consumption on Twitter.  ...  One possible reason for this behavior, may be that audiences in Twitter are consuming news as a source of general knowledge, and/or to keep up with events of public interest.  ... 
doi:10.1145/3209219.3209245 dblp:conf/um/Orellana-Rodriguez18 fatcat:iqrqvdaeavchbpzwkomaqj5j64

Online Social Behavior in Twitter: A Literature Review

Olav Aarts, Peter-Paul van Maanen, Tanneke Ouboter, Jan Maarten Schraagen
2012 2012 IEEE 12th International Conference on Data Mining Workshops  
In this review we pay attention to three aspects of social networks: actor, message, and network characteristics.  ...  We further limit our review to research based on Twitter data, because this online social network is the most widely used by researchers in the field.  ...  ) • Tweets sent and retweet count are positively (Spearman 0.44) • Retweets are significantly correlated with follower counts (Spearman 0.58) • No correlation between audience size and tweeting frequency  ... 
doi:10.1109/icdmw.2012.139 dblp:conf/icdm/AartsMOS12 fatcat:pj4dapmxqrg6pktsafgjvk4fjy

Rising Tides or Rising Stars?: Dynamics of Shared Attention on Twitter during Media Events

Yu-Ru Lin, Brian Keegan, Drew Margolin, David Lazer, Petter Holme
2014 PLoS ONE  
or an artifact of changes in elite users' behavior.  ...  Our work is the first study on distinguishing patterns of large-scale social behavior under condition of uncertainty and shared attention, suggesting new ways of mining information from social media to  ...  For retweeting behavior, users with few followers retweeted much more rapidly during the debates than they did during the baseline and this behavior decreased as users' audience size grew (6a).  ... 
doi:10.1371/journal.pone.0094093 pmid:24854030 pmcid:PMC4031071 fatcat:rwbonv4xufblbizax3vmlsvcsi

Scholarly Twitter metrics [article]

Stefanie Haustein
2018 arXiv   pre-print
Going beyond the limited explanatory power of low correlations between tweets and citations, this chapter considers what types of scholarly documents are popular on Twitter, and how, when and by whom they  ...  By reviewing the literature on Twitter in scholarly communication and analyzing 24 million tweets linking to scholarly documents, it aims to provide a basic understanding of what tweets can and cannot  ...  Hashtags are keywords following the #-sign, which facilitate connections between users interested in the same topics.  ... 
arXiv:1806.02201v2 fatcat:lce3kb7lkzf4tpbjhyaqpszfn4

Gatekeeping Twitter: message diffusion in political hashtags

Marco Toledo Bastos, Rafael Luis Galdini Raimundo, Rodrigo Travitzki
2013 Media Culture and Society  
The action of retweeting is an emergent behavior in Twitter that comprises the relaying of a tweet that has been written by another Twitter user.  ...  In order to address that, we analyzed the relationship between retweet network (RT), mention network (AT) and the followers' and followees' networks (FF).  ... 
doi:10.1177/0163443712467594 fatcat:vahxpoi3gzf4xfwa73ks77hb7q

Communicating effectively about CSR on Twitter

Theo Araujo, Jana Kollat
2018 Internet Research  
influence of CSR communication, emotion, and aspirational talk on the likelihood that Twitter users will retweet and like tweets from the companies.  ...  Originality/value -This study provides important insights into key aspects of communicating about CSR issues on social networking sites such as Twitter and makes several practical recommendations for companies  ...  This finding provides further evidence that being proactive in CSR communications, either by broadcasting information or engaging audiences, is particularly valued by Twitter users, as indicated by the  ... 
doi:10.1108/intr-04-2017-0172 fatcat:gsoj3dp4dvbqjgvzl4absknlru

Twitter ain't without frontiers

Ruth García-Gavilanes, Yelena Mejova, Daniele Quercia
2014 Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing - CSCW '14  
We discuss the implications of these barriers to communication in the contexts of collaborative work, software design, and recommendation systems.  ...  By contrast, in this study we show that the international Twitter communication landscape is not only still largely predetermined by physical distance, but that it also depends on countries' social, economic  ...  Some of these values could be learned by gathering user behavior data using built-in tools and interaction logs, combined with the cultural attributes extrapolated from user location information and other  ... 
doi:10.1145/2531602.2531725 dblp:conf/cscw/GavilanesMQ14 fatcat:bmdjtcoslnfknewad6r6maxmju

Communication About Childhood Obesity on Twitter

Jenine K. Harris, Sarah Moreland-Russell, Rachel G. Tabak, Lindsay R. Ruhr, Ryan C. Maier
2014 American Journal of Public Health  
We used a mixed-methods design to examine communication about childhood obesity on Twitter. Methods-NodeXL was used to collect tweets sent in June 2013 containing the hashtag #childhoodobesity.  ...  The use of social media to share health information is increasing among the public and public health professionals.  ...  Hashtags facilitate formation of ad-hoc groups interested in specific topics or events 42 and are positively associated with audience engagement (i.e., retweeting). 43, 44 We used online tools (e.g  ... 
doi:10.2105/ajph.2013.301860 pmid:24832138 pmcid:PMC4056214 fatcat:y5eqqfyup5fnhlqid4s23fveka

Twitter-driven YouTube Views

Honglin Yu, Lexing Xie, Scott Sanner
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
Twitter users mentioning a video (measured by the variation in their total activity) that is most informative for both JUMP and EARLY prediction.  ...  Experiments on hundreds of thousands of videos and millions of tweets show that Twitter-derived features alone can predict whether a video will be in the top 5% for EARLY popularity with 0.7 Precision@  ...  Despite the mounting challenge, such prediction tasks are important both in their value for understanding collective online behavior, and in a wide range of applications from content discovery and recommendation  ... 
doi:10.1145/2647868.2655037 dblp:conf/mm/YuXS14 fatcat:m6ly6hx2qzfilpe4rsdkphdlrm

Astrophysicists' Conversational Connections on Twitter

Kim Holmberg, Timothy D. Bowman, Stefanie Haustein, Isabella Peters, Lutz Bornmann
2014 PLoS ONE  
behavior of astrophysicists.  ...  and affordance use (i.e. use of hashtags, language, and emotions) on the conversational connections they have on Twitter.  ...  like following another Twitter user, retweeting someone's tweets, mentioning usernames in the tweets and by using the same hashtags.  ... 
doi:10.1371/journal.pone.0106086 pmid:25153196 pmcid:PMC4143334 fatcat:kjikrejxuvdzlgedok7aihoc6i

Variables of Twitter´s brand activity that influence audience spreading behaviour of branded content
Variables de la actividad de una marca en Twitter que influyen en el comportamiento de difusión de contenido de marca en su audiencia

Luis Matosas López
2018 ESIC Market  
Findings indicate the significant effect of variables such as: mentions made by the brand, posting time or volume of tweets, in predicting audience spreading behavior.  ...  Controversially, results suggest that brand use of the retweet function generates a negative influence on audience response.  ...  Retweets are widely recognized as mechanism to spread information among users on Twitter (Bruns and Stieglitz, 2013; Rudat and Buder, 2015) .  ... 
doi:10.7200/esicm.161.0491 fatcat:4ku3fljlqrc65bvkp2f2qdkuva

Interactional and Informational Attention on Twitter

Agathe Baltzer, Márton Karsai, Camille Roth
2019 Information  
Twitter may be considered to be a decentralized social information processing platform whose users constantly receive their followees' information feeds, which they may in turn dispatch to their followers  ...  We observe that most users usually concentrate their attention on a limited core of peers and topics, and discuss the relationship between interactional and informational attention processes—all of which  ...  Acknowledgments: We are grateful for the data collection and preparation to J.-Ph. Magué. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info10080250 fatcat:x6iq66hugrcsfaf5s35djmwalu
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