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Individual Differences in Belief in Fake News about Election Fraud after the 2020 U.S. Election

Title: Individual Differences in Belief in Fake News about Election Fraud after the 2020 U.S. Election
Authors: Dustin P. Calvillo; Abraham M. Rutchick; Ryan J. B. Garcia
Source: Behavioral Sciences, Vol 11, Iss 175, p 175 (2021)
Publisher Information: MDPI AG
Publication Year: 2021
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: fake news; elections; misinformation; conspiracy beliefs; political ideology; Psychology; BF1-990
Description: Fake news is a serious problem because it misinforms people about important issues. The present study examined belief in false headlines about election fraud after the 2020 U.S. presidential election. Belief in election fraud had dangerous consequences, including the deadly insurrection at the U.S. Capitol in January 2021. In the present study, participants rated the truthfulness of true and false headlines about the election, and then completed individual difference measures eight days after the election. Participants with more conservative ideology, greater presidential approval of the outgoing president, greater endorsement of general conspiracy narratives and poorer cognitive reflection demonstrated greater belief in false headlines about election fraud. Additionally, consuming more politically conservative election news was associated with greater belief in false headlines. Identifying the factors related to susceptibility to false claims of election fraud offers a path toward countering the influence of these claims by tailoring interventions aimed at decreasing belief in misinformation and decreasing conspiracy beliefs to those most susceptible.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.mdpi.com/2076-328X/11/12/175; https://doaj.org/toc/2076-328X; https://doaj.org/article/72ef2791087e40a58d2a3fafff1277fc
DOI: 10.3390/bs11120175
Availability: https://doi.org/10.3390/bs11120175; https://doaj.org/article/72ef2791087e40a58d2a3fafff1277fc
Accession Number: edsbas.1817E19
Database: BASE