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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Discursive Power And Resistance In The Information Worlds Maps Of Lgbtqia+ Community Leaders, Vanessa Kitzie, Travis L. Wagner, Alexander N. Vera
Discursive Power And Resistance In The Information Worlds Maps Of Lgbtqia+ Community Leaders, Vanessa Kitzie, Travis L. Wagner, Alexander N. Vera
Faculty Publications
Purpose: This qualitative study explores how discursive power shapes South Carolina LGBTQIA+ communities' health information practices and how participants resist this power. Design/methodology/approach: Twenty-eight LGBTQIA+ community leaders from South Carolina engaged in semi-structured interviews and information worlds mapping – a participatory arts-based elicitation technique – to capture the context underlying how they and their communities create, seek, use, and share health information. We focus on the information worlds maps for this paper, employing situational analysis – a discourse analytic method for visual data – to analyze them. Findings: Six themes emerged describing how discursive power operates both within and outside …
Analysis Of Social Media Discussions On (#)Diet By Blue, Red, And Swing States In The U.S, Amir Karami, A. A. Dahl, J. G. Shaw, S. P. Valappil, G. Turner-Mcgrievy, H. Kharrazi, P. Bozorgi
Analysis Of Social Media Discussions On (#)Diet By Blue, Red, And Swing States In The U.S, Amir Karami, A. A. Dahl, J. G. Shaw, S. P. Valappil, G. Turner-Mcgrievy, H. Kharrazi, P. Bozorgi
Faculty Publications
The relationship between political affiliations and diet-related discussions on social media has not been studied on a population level. This study used a cost- and -time effective framework to leverage, aggregate, and analyze data from social media. This paper enhances our understanding of diet-related discussions with respect to political orientations in U.S. states. This mixed methods study used computational methods to collect tweets containing “diet” or “#diet” shared in a year, identified tweets posted by U.S. Twitter users, disclosed topics of tweets, and compared democratic, republican, and swing states based on the weight of topics. A qualitative method was employed …