TY - JOUR
T1 - What makes gun violence a (less) prominent issue? A computational analysis of compelling arguments and selective agenda setting
AU - Guo, Lei
AU - Mays, Kate
AU - Zhang, Yiyan
AU - Wijaya, Derry
AU - Betke, Margrit
N1 - Funding Information:
This study is supported in part by the U.S. NSF grant [1838193].
Publisher Copyright:
© 2021 Mass Communication & Society Division of the Association for Education in Journalism and Mass Communication.
PY - 2021/4/7
Y1 - 2021/4/7
N2 - Despite several transient spikes in response to the deadliest mass shootings, the U.S. population continues to perceive gun violence as less important than other issues, and public opinion remains divided along partisan lines. Drawing upon literature of compelling arguments and partisan media, this study investigates what kind of news framing—episodic framing that focuses on individual stories or thematic framing that emphasizes broader context—makes gun violence a more or less prominent issue. Specifically, this study uses the state-of-the-art machine-learning model BERT to examine 25 news media outlets’ coverage of gun violence, and then pairs the results with a two-wave panel survey conducted during the 2018 U.S. midterm elections. Results demonstrate that episodic framing of gun violence in the elite, mainstream media increased the issue salience among conservatives. However, exposure to episodically framed coverage of gun violence in like-minded partisan media made conservatives believe the issue was less important.
AB - Despite several transient spikes in response to the deadliest mass shootings, the U.S. population continues to perceive gun violence as less important than other issues, and public opinion remains divided along partisan lines. Drawing upon literature of compelling arguments and partisan media, this study investigates what kind of news framing—episodic framing that focuses on individual stories or thematic framing that emphasizes broader context—makes gun violence a more or less prominent issue. Specifically, this study uses the state-of-the-art machine-learning model BERT to examine 25 news media outlets’ coverage of gun violence, and then pairs the results with a two-wave panel survey conducted during the 2018 U.S. midterm elections. Results demonstrate that episodic framing of gun violence in the elite, mainstream media increased the issue salience among conservatives. However, exposure to episodically framed coverage of gun violence in like-minded partisan media made conservatives believe the issue was less important.
UR - http://www.scopus.com/inward/record.url?scp=85103874128&partnerID=8YFLogxK
U2 - 10.1080/15205436.2021.1898644
DO - 10.1080/15205436.2021.1898644
M3 - Article
AN - SCOPUS:85103874128
VL - 24
SP - 651
EP - 675
JO - Mass Communication and Society
JF - Mass Communication and Society
SN - 1520-5436
IS - 5
ER -