{"title":"The Big Lie: Expressive Responding and Misperceptions in the United States","authors":"James J. Fahey","doi":"10.1017/XPS.2022.33","DOIUrl":null,"url":null,"abstract":"Abstract Misinformation about events surrounding the 2020 election and the COVID-19 pandemic pose an existential threat to American democracy and public health. Public opinion surveys reveal that high percentages of Republicans indicate that they endorse some aspects of mistaken beliefs surrounding election fraud in the 2020 election. Still, understanding how to measure the endorsement of misperceptions is critical for understanding the threat at hand. Are high levels of mistaken beliefs genuinely held, or are they partially a function of expressive responding? I address this question through a set of survey experiments encouraging accuracy-oriented processing among the general public. Using well-powered surveys of Republicans and Independents, I find that treatments designed to encourage more accurate responses are ineffective in reducing the endorsement of partisan electoral and public health misperceptions and can in some cases even backfire. These findings suggest that support for these misperceptions is genuinely held.","PeriodicalId":37558,"journal":{"name":"Journal of Experimental Political Science","volume":"10 1","pages":"267 - 278"},"PeriodicalIF":3.2000,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Experimental Political Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/XPS.2022.33","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: 2
Abstract
Abstract Misinformation about events surrounding the 2020 election and the COVID-19 pandemic pose an existential threat to American democracy and public health. Public opinion surveys reveal that high percentages of Republicans indicate that they endorse some aspects of mistaken beliefs surrounding election fraud in the 2020 election. Still, understanding how to measure the endorsement of misperceptions is critical for understanding the threat at hand. Are high levels of mistaken beliefs genuinely held, or are they partially a function of expressive responding? I address this question through a set of survey experiments encouraging accuracy-oriented processing among the general public. Using well-powered surveys of Republicans and Independents, I find that treatments designed to encourage more accurate responses are ineffective in reducing the endorsement of partisan electoral and public health misperceptions and can in some cases even backfire. These findings suggest that support for these misperceptions is genuinely held.
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.