{"title":"Partisan Bias in Episodes of Political Violence","authors":"Justin Michael Zyla","doi":"10.1177/1532673x241236198","DOIUrl":null,"url":null,"abstract":"Imagine two incidents of political violence. In the first, you share political affiliation with the victim. In the second, they reside in the opposite party. How would this minor change – a shifting label, the difference of a word – impact your reaction? This article offers empirical insight through an experiment: U.S. participants read a mock college controversy, where a student sent death threats to, and doxed, a professor. The treatment varied whether the perpetrator described the professor as a Democrat, Republican, or used otherwise non-descript (e.g., “political”) adjectives. A posttreatment survey then measured respondents’ discrete emotions, the penalties they preferred the student receive, and their partisan group identity strength. Participants who read about violence against a copartisan victim showed a statistically significant increase in preferred penalty severity. But violence against an outparty victim mirrored the control, with subjects reacting as if they didn’t know the political affiliation of anyone involved. Posttreatment measures also demonstrated the potential for anxiety (but not anger or partisan strength) to mediate this underlying partisan bias.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":"25 22","pages":""},"PeriodicalIF":17.7000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/1532673x241236198","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Imagine two incidents of political violence. In the first, you share political affiliation with the victim. In the second, they reside in the opposite party. How would this minor change – a shifting label, the difference of a word – impact your reaction? This article offers empirical insight through an experiment: U.S. participants read a mock college controversy, where a student sent death threats to, and doxed, a professor. The treatment varied whether the perpetrator described the professor as a Democrat, Republican, or used otherwise non-descript (e.g., “political”) adjectives. A posttreatment survey then measured respondents’ discrete emotions, the penalties they preferred the student receive, and their partisan group identity strength. Participants who read about violence against a copartisan victim showed a statistically significant increase in preferred penalty severity. But violence against an outparty victim mirrored the control, with subjects reacting as if they didn’t know the political affiliation of anyone involved. Posttreatment measures also demonstrated the potential for anxiety (but not anger or partisan strength) to mediate this underlying partisan bias.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.