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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Unfiltered?: A Content Analysis Of Pro Athletes' "Twitter" Use., Justin A. Shockley
Unfiltered?: A Content Analysis Of Pro Athletes' "Twitter" Use., Justin A. Shockley
Electronic Theses and Dissertations
As new media grow, so do the users who navigate the virtual world. People and organizations are forced to adapt in order to stay relevant in a technologically driven marketplace. The sports world has been changed drastically because of new media. Athletes no longer communicate with the general public solely through traditional media outlets such as newspapers. Social networking sites such as Twitterallow athletes to directly communicate with mass audiences. This direct communication raises several questions with regard to dynamics of communication and uses of Internet portals. A content analysis examined professional athletes' "Twitter" posts to help …
Following The Lead Of Barack Obama, Cnn, And Ashton Kutcher: Police Departments’ Use Of Twitter, Mari Sakiyama, Amanda Hurst, Omar Melchor, Daniel Shields, Deborah K. Shaffer, Joel D. Lieberman
Following The Lead Of Barack Obama, Cnn, And Ashton Kutcher: Police Departments’ Use Of Twitter, Mari Sakiyama, Amanda Hurst, Omar Melchor, Daniel Shields, Deborah K. Shaffer, Joel D. Lieberman
Graduate Research Symposium (GCUA) (2010 - 2017)
An increasing number of police departments are using Twitter to communicate with the public. As with any emerging communications technology, there is considerable variation in the usage of this medium. This study reports the results of a content analysis designed to determine how police departments are using Twitter.
Linked Open Social Signals, Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth
Linked Open Social Signals, Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth
Kno.e.sis Publications
In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from micro-blogging data. We focus on users interested in analyzing social signals collectively for sensemaking. Our proposal enables flexibility in selecting subsets for analysis, alleviating information overload. We define an architecture that is based on state-of-the-art Semantic Web technologies and a distributed publish subscribe protocol for real time communication. In addition, we discuss our method and application in a scenario related to the health care reform in the United States.
A Qualitative Examination Of Topical Tweet And Retweet Practices, Meenakshi Nagarajan, Hemant Purohit, Amit P. Sheth
A Qualitative Examination Of Topical Tweet And Retweet Practices, Meenakshi Nagarajan, Hemant Purohit, Amit P. Sheth
Kno.e.sis Publications
This work contributes to the study of retweet behavior on Twitter surrounding real-world events. We analyze over a million tweets pertaining to three events, present general tweet properties in such topical datasets and qualitatively analyze the properties of the retweet behavior surrounding the most tweeted/viral content pieces. Findings include a clear relationship between sparse/dense retweet patterns and the content and type of a tweet itself; suggesting the need to study content properties in link-based diffusion models.