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Social and Behavioral Sciences Commons

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Full-Text Articles in Social and Behavioral Sciences

Differences Between Teacher-Focused Twitter Hashtags And Implications For Professional Development, Spencer P. Greenhalgh Jun 2020

Differences Between Teacher-Focused Twitter Hashtags And Implications For Professional Development, Spencer P. Greenhalgh

Information Science Faculty Publications

Twitter hashtags may serve as valuable means for teachers' professional development. However, given the diversity of hashtag spaces and teacher needs, teachers must assess a given hashtag and compare it to their learning needs and preferences before determining whether it would be helpful. To support this reflection, I examine data associated with 60 Regional Educational Twitter Hashtags (RETHs) during the first six months of 2016 to begin describing the variety of teacher learning-focused Twitter spaces and make distinctions between them. My results indicate that these RETHs vary according to their relative focus on sharing, intimacy of personal connection, and volume …


Investigation Of Factors That Influence Public Librarians’ Social Media Use For Marketing Purposes: An Adoption Of The Technology Acceptance Model And Theory Of Planned Behavior, Soohyung Joo, Namjoo Choi, Lindsey M. Harper Apr 2019

Investigation Of Factors That Influence Public Librarians’ Social Media Use For Marketing Purposes: An Adoption Of The Technology Acceptance Model And Theory Of Planned Behavior, Soohyung Joo, Namjoo Choi, Lindsey M. Harper

Information Science Faculty Publications

This study aims to explore multiple factors that are associated with social media use by public librarians for marketing purposes. Based on the technology acceptance model and theory of planned behavior, the effects of five factors—usefulness, ease of use, attitude, subjective norms, and behavioral control—on social media use intention were examined. A survey was conducted, and 462 valid responses were collected from public librarians across the United States. The findings revealed that all five factors have a significant impact on librarians’ intention to engage in social media activities for library marketing. Perceived behavioral control factors were the most influential on …


"Participant" Perceptions Of Twitter Research Ethics, Casey Fiesler, Nicholas Proferes Jan 2018

"Participant" Perceptions Of Twitter Research Ethics, Casey Fiesler, Nicholas Proferes

Information Science Faculty Publications

Social computing systems such as Twitter present new research sites that have provided billions of data points to researchers. However, the availability of public social media data has also presented ethical challenges. As the research community works to create ethical norms, we should be considering users’ concerns as well. With this in mind, we report on an exploratory survey of Twitter users’ perceptions of the use of tweets in research. Within our survey sample, few users were previously aware that their public tweets could be used by researchers, and the majority felt that researchers should not be able to use …


U.S. Newspaper Editors’ Ratings Of Social Media As Influential News Sources, Masahiro Yamamoto, Seungahn Nah, Deborah S. Chung Jan 2017

U.S. Newspaper Editors’ Ratings Of Social Media As Influential News Sources, Masahiro Yamamoto, Seungahn Nah, Deborah S. Chung

Information Science Faculty Publications

Social media, as one key platform for citizen journalism, are becoming a useful news-gathering tool for journalists. Based on data from a nationwide probability sample of newspaper editors in the United States, this study investigates the extent to which newspaper editors consider social media an influential news source. Results show that variations in editors’ ratings of social media as a news source were related to multiple levels of influence, including professional journalistic experience, organization size, community structural pluralism, and citizen journalism credibility. Implications are discussed for the roles of social media in news production.


Web 2.0 Use And Knowledge Transfer: How Social Media Technologies Can Lead To Organizational Innovation, Namjoo Choi, Kuang-Yuan Huang, Aaron Palmer, Lenore Horowitz Nov 2014

Web 2.0 Use And Knowledge Transfer: How Social Media Technologies Can Lead To Organizational Innovation, Namjoo Choi, Kuang-Yuan Huang, Aaron Palmer, Lenore Horowitz

Information Science Faculty Publications

The concept of Web 2.0 has gained widespread prominence in recent years. The use of Web 2.0 applications on an individual level is currently extensive, and such applications have begun to be implemented by organizations in hopes of boosting collaboration and driving innovation. Despite this growing trend, only a small number of theoretical perspectives are available in the literature that discuss how such applications could be utilized to assist in innovation. In this paper, we propose a theoretical model explicating this phenomenon. We argue that organizational Web 2.0 use fosters the emergence and enhancement of informal networks, weak ties, boundary …


Online Deception In Social Media, Michail Tsikerdekis, Sherali Zeadally Sep 2014

Online Deception In Social Media, Michail Tsikerdekis, Sherali Zeadally

Information Science Faculty Publications

The unknown and the invisible exploit the unwary and the uninformed for illicit financial gain and reputation damage.


Multiple Account Identity Deception Detection In Social Media Using Nonverbal Behavior, Michail Tsikerdekis, Sherali Zeadally Aug 2014

Multiple Account Identity Deception Detection In Social Media Using Nonverbal Behavior, Michail Tsikerdekis, Sherali Zeadally

Information Science Faculty Publications

Identity deception has become an increasingly important issue in the social media environment. The case of

blocked users initiating new accounts, often called sockpuppetry, is widely known and past efforts, which have attempted to detect such users, have been primarily based on verbal behavior (e.g., using profile data or lexic al features in text). Although these methods yield a high detection accuracy rate, they are computationally inefficient for the social media environment, which often involves databases with large volumes of data. To date, little attention has been paid to detecting online decep- tion using nonverbal behavior. We present a detection …