Papers 19: Information Behaviors on Twitter
Understanding Online Trust and Information Behavior Using Demographics and Human Values
University of Texas at Austin, United States of America
In the aftermath of the 2016 U.S. Presidential Election, the role of social media in influencing the dissemination of information is a timely and criti-cal issue. To understand how social media-based information, misinfor-mation, and disinformation work in practice, it is critical to identify factors that can predict social media users’ online information behavior. To this end, we designed an experiment to study the influence of the independent variables, demographics, and human values, on the dependent variables, so-cial media users’ observed trust behavior, self-reported trust behavior, and information behavior. We report the statistically significant results of these comparisons; for example, we found that liberals were more likely to trust mainstream media (p < 0.05) and scientific journals (p < 0.05) and to state that the content of the linked pages influenced their trust (p < 0.01) than moderates; for values, we found that participants who more highly valued security were more likely to trust mainstream media articles (p < 0.05), to notice the presence or absence of hyperlinks, and to click on fake news arti-cles (p < 0.05). Ultimately, both demographics and values can be used to predict online trust and information behavior; while demographics are commonly captured or predicted in online marketing, values represent a much less tapped opportunity to predict social media users’ online trust and information behavior.
Categorization and Comparison of Influential Twitter Users and Sources Referenced in Tweets for Two Health-Related Topics
1University of Illinois Urbana-Champaign, United States of America; 2Al Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia
The internet’s evolution has had a profound influence on how people ac-quire medical information. The innovation of web 2.0 has been regarded as the primary motivating factor for people who want to access health-related education. In this work, we identify the URL categories that Twitter users incorporate into their messages when engaging in two selected health-related topics (MMR vaccines and healthy diets). Moreover, we identify the categories of influential message authors who engage in these two topics. Finally, we explore the relationship between different user categories and their patterns of URL sharing. Our results show that when it comes to in-fluential users sharing fake news, users discussing vaccine-related topics were more than twice as likely to share a fake news URLs than those dis-cussing healthy diets.
Twitter Activity at Recent LIS Academic Conferences
University at Buffalo, The State University of New York, United States of America
The present paper reports on different Twitter activities throughout several library and information science (LIS) focused research conferences which took place over the summer of 2018. Current findings show levels of activity and engagement, both overall and at different time-points throughout the conferences. The study provides descriptive findings about Twitter use and ways in which researchers can analyze social media activities as measures of scholarly communication at academic conferences. Opportunities remain for future in-depth studies of social media and its broader implications for scholarly communications from academic conferences.