主流
舆论
显著性(神经科学)
媒体报道
政治
社会化媒体
枪支管制
政治暴力
表达式(计算机科学)
社会心理学
政治学
媒体偏见
心理学
社会学
媒体研究
法学
程序设计语言
认知心理学
计算机科学
作者
Лэй Гуо,Yiyan Zhang,Kate K. Mays,Afra Feyza Akyürek,Derry Wijaya,Margrit Betke
标识
DOI:10.1177/00936502231151555
摘要
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.
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