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Conceptual Replication of Four Key Findings about Factual Corrections and Misinformation during the 2020 US Election: Evidence from Panel-Survey Experiments

Published online by Cambridge University Press:  01 February 2023

Alexander Coppock Open the ORCID record for Alexander Coppock [Opens in a new window] ,
Kimberly Gross ,
Ethan Porter Open the ORCID record for Ethan Porter [Opens in a new window] ,
Emily Thorson  and
Thomas J. Wood Open the ORCID record for Thomas J. Wood [Opens in a new window]
Alexander Coppock
Affiliation:
Department of Political Science, Yale University, USA
Kimberly Gross
Affiliation:
School of Media and Public Affairs and Department of Political Science, George Washington University, USA
Ethan Porter*
Affiliation:
School of Media and Public Affairs and Department of Political Science, George Washington University, USA
Emily Thorson
Affiliation:
Department of Political Science, Syracuse University, USA
Thomas J. Wood
Affiliation:
Department of Political Science, The Ohio State University, USA
*
*Corresponding author. Email: [email protected]
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Abstract

In the final two months of the 2020 US election, we conducted eight panel experiments to evaluate the immediate and medium-term effects of misinformation and factual corrections. Our results corroborate four sets of existing findings: fact-checks reliably improve factual accuracy, while misinformation degrades it; effects of fact-checks on belief accuracy endure, though they fade with time; effects on attitudes are minuscule; and there are important partisan asymmetries. We also offer one new empirical finding suggesting that effect heterogeneities by personality type and cognitive style may reflect attention paid to treatments. Our study confirms that the fundamental push and pull of misinformation and factual corrections on political beliefs holds even in electoral settings as saturated with mistruths as the 2020 US election.

Keywords

misinformationfactual corrections2020 US election
Type
Letter
Information
British Journal of Political Science , Volume 53 , Issue 4 , October 2023 , pp. 1328 - 1341
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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Supplementary material: Link

Coppock et al. Dataset

Dataset

https://doi.org/10.7910/DVN/WQXZUP
Link
Supplementary material: PDF

Coppock et al. supplementary material

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