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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Oh Snap: Chatstyle In The 2016 U.S. Presidential Primaries, David Painter, Eisa Al Nashmi
Oh Snap: Chatstyle In The 2016 U.S. Presidential Primaries, David Painter, Eisa Al Nashmi
Faculty Publications
Based on Goffman’s theories of self-presentation and framing, this exploratory investigation adapted Videostyle and Webstyle protocols to analyse the 2016 US presidential primary candidates’ Snapchat posts. This quantitative content analysis (N = 871) coded for the visual content, production techniques, nonverbal content and frames used by the five candidates who used Snapchat as a strategic tool to engage voters throughout the course of the 2016 US primary campaign. The results indicate Clinton (D) deviated from the other candidates in the visual and nonverbal content as well as the frames used in her snaps. The implications of these findings on …
#Nodapl: Social Media, Empowerment, And Civic Participation At Standing Rock, Hayley Johnson
#Nodapl: Social Media, Empowerment, And Civic Participation At Standing Rock, Hayley Johnson
Faculty Publications
The struggle for environmental and social justice within American Indian communities is one that has been ongoing since the beginning of United States history, but the main catalyst to effect change and to promote and disperse the American Indian narrative has emerged through the power of social media in today's hyperconnected society. This article examines the power of social media to effect change, as well as a hyperconnected society's ability to empower historically disadvantaged groups that have often been misrepresented within traditional media outlets. The historic movement occurring at Standing Rock, North Dakota, and the #NoDAPL protests illustrates the capacity …
A Framework For Recommendation Of Highly Popular News Lacking Social Feedback, Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco
A Framework For Recommendation Of Highly Popular News Lacking Social Feedback, Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco
Faculty Publications
Social media is rapidly becoming the main source of news consumption for users, raising significant challenges to news aggregation and recommendation tasks. One of these challenges concerns the recommendation of very recent news. To tackle this problem, approaches to the prediction of news popularity have been proposed. In this paper, we study the task of predicting news popularity upon their publication, when social feedback is unavailable or scarce, and to use such predictions to produce news rankings. Unlike previous work, we focus on accurately predicting highly popular news. Such cases are rare, causing known issues for standard prediction models and …