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Interplay between Public Attention and Public Emotion toward Multiple Social Issues on Twitter
Tai-Quan Peng1, Guodao Sun2, Yingcai Wu3
1Department of Communication, Michigan State University, East Lansing, Michigan, United States.
Abstract:
This study aims to elucidate the intricate interplay between public attention and public emotion toward multiple social issues. A theoretical framework is developed based on three perspectives including endogenous affect hypothesis, affect transfer hypothesis, and affective intelligence theory. Large-scale longitudinal data with 265 million tweets on five social issues are analyzed using a time series analytical approach. Public attention on social issues can influence public emotion on the issue per se. Social issues interact with one another to attract public attention in both cooperative and competitive ways. Instead of a direct transfer from public emotion to public attention, the public emotion toward a social issue moderates the interaction between the issue and other issue(s).
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