Misperceptions in sociopolitical context: belief sensitivity’s relationship with battleground state status and partisan segregation

Author:

Li Qin1ORCID,Bond Robert M1,Garrett R Kelly1ORCID

Affiliation:

1. School of Communication, Ohio State University , Columbus, OH, USA

Abstract

AbstractNumerous studies have shown that individuals’ belief sensitivity—their ability to discriminate between true and false political statements—varies according to psychological and demographic characteristics. We argue that sensitivity also varies with the political and social communication contexts in which they live. Both battleground state status of the state in which individuals live and the level of partisan segregation in a state are associated with Americans’ belief sensitivity. We leverage panel data collected from two samples of Americans, one collected in the first half of 2019 and the other during the 2020 U.S. presidential campaign season. Results indicate that the relationship between living in battleground states and belief sensitivity is contingent on political ideology: living in battleground states, versus in Democratic-leaning states, is associated with lower belief sensitivity among conservatives and higher belief sensitivity among liberals. Moreover, living in a less politically segregated state is associated with greater belief sensitivity. These relationships were only in evidence in the election year.

Funder

2019 Facebook Integrity Foundational Research Awards

Measuring And Modeling Susceptibility To Misinformation

2020 Facebook Integrity Foundational Research Award

Quantifying Downstream Harms Of Misinformation Shared On Social Media During The 2020 U.S. Presidential Election

Ohio State University School of Communication and Northwestern University

Ohio State University

Publisher

Oxford University Press (OUP)

Subject

Linguistics and Language,Language and Linguistics,Communication

Reference62 articles.

1. The big sort that wasn’t: A skeptical reexamination;Abrams;PS: Political Science & Politics,2012

2. Social media and fake news in the 2016 election;Allcott;Journal of Economic Perspectives,2017

3. Media supply, audience demand, and the geography of news consumption in the United States;Althaus;Political Communication,2009

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