Lei Guo, Yiyan Zhang, Kate K. Mays, Afra Feyza Akyürek, D. Wijaya, Margrit Betke
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引用次数: 0
Abstract
Focusing on a polarized issue—U.S. gun violence—this study examines agenda setting as an antecedent of political expression on social media. A state-of-the-art machine-learning model was used to analyze news coverage from 25 media outlets—mainstream and partisan. Those results were paired with a two-wave panel survey conducted during the 2018 U.S. midterm elections. Findings show mainstream media shape public opinion about gun violence, which then stimulates expression about the issue on social media. The study also reveals that partisan media’s gun violence coverage has significant cross-cutting effects. Notably, exposure to conservative media will decrease public salience of gun violence, pivot opinion in a more conservative direction, and discourage social media expression; and all of these effects are stronger among liberals.
期刊介绍:
Empirical research in communication began in the 20th century, and there are more researchers pursuing answers to communication questions today than at any other time. The editorial goal of Communication Research is to offer a special opportunity for reflection and change in the new millennium. To qualify for publication, research should, first, be explicitly tied to some form of communication; second, be theoretically driven with results that inform theory; third, use the most rigorous empirical methods; and fourth, be directly linked to the most important problems and issues facing humankind. Critieria do not privilege any particular context; indeed, we believe that the key problems facing humankind occur in close relationships, groups, organiations, and cultures.