{"title":"The Face of the Problem: How Subordinates Shield Executives from Blame","authors":"Sarah E. Croco, J. McDonald, Candace Turitto","doi":"10.1017/XPS.2021.16","DOIUrl":null,"url":null,"abstract":"Abstract Though avoiding blame is often a goal of elected officials, there are relatively few empirical examinations of how citizens assign blame during controversies. We are particularly interested in how this process works when an executive has been caught in a lie. Using two survey experiments, we examine whether subordinates can shield executives when they act as the face of a crisis. We first leverage a real-life situation involving the family separation crisis at the US–Mexico border in 2018. Respondents who read that Donald Trump falsely claimed he could not end the practice of family separation disapprove of his dishonesty. Yet this cost disappears when Trump’s then-Secretary of Homeland Security, Kirstjen Nielsen, is the primary official discussed in news stories. We then replicate these findings in a fictional scenario involving a city mayor, showing that the mayor is partially shielded from negative appraisals when the city manager lies on his behalf.","PeriodicalId":37558,"journal":{"name":"Journal of Experimental Political Science","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2021-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/XPS.2021.16","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Experimental Political Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/XPS.2021.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Though avoiding blame is often a goal of elected officials, there are relatively few empirical examinations of how citizens assign blame during controversies. We are particularly interested in how this process works when an executive has been caught in a lie. Using two survey experiments, we examine whether subordinates can shield executives when they act as the face of a crisis. We first leverage a real-life situation involving the family separation crisis at the US–Mexico border in 2018. Respondents who read that Donald Trump falsely claimed he could not end the practice of family separation disapprove of his dishonesty. Yet this cost disappears when Trump’s then-Secretary of Homeland Security, Kirstjen Nielsen, is the primary official discussed in news stories. We then replicate these findings in a fictional scenario involving a city mayor, showing that the mayor is partially shielded from negative appraisals when the city manager lies on his behalf.
期刊介绍:
The Journal of Experimental Political Science (JEPS) features cutting-edge research that utilizes experimental methods or experimental reasoning based on naturally occurring data. We define experimental methods broadly: research featuring random (or quasi-random) assignment of subjects to different treatments in an effort to isolate causal relationships in the sphere of politics. JEPS embraces all of the different types of experiments carried out as part of political science research, including survey experiments, laboratory experiments, field experiments, lab experiments in the field, natural and neurological experiments. We invite authors to submit concise articles (around 4000 words or fewer) that immediately address the subject of the research. We do not require lengthy explanations regarding and justifications of the experimental method. Nor do we expect extensive literature reviews of pros and cons of the methodological approaches involved in the experiment unless the goal of the article is to explore these methodological issues. We expect readers to be familiar with experimental methods and therefore to not need pages of literature reviews to be convinced that experimental methods are a legitimate methodological approach. We will consider longer articles in rare, but appropriate cases, as in the following examples: when a new experimental method or approach is being introduced and discussed or when novel theoretical results are being evaluated through experimentation. Finally, we strongly encourage authors to submit manuscripts that showcase informative null findings or inconsistent results from well-designed, executed, and analyzed experiments.