A gateway conspiracy? Belief in COVID-19 conspiracy theories prospectively predicts greater conspiracist ideation.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 09 06 2022
accepted: 18 09 2022
entrez: 26 10 2022
pubmed: 27 10 2022
medline: 29 10 2022
Statut: epublish

Résumé

A primary focus of research on conspiracy theories has been understanding the psychological characteristics that predict people's level of conspiracist ideation. However, the dynamics of conspiracist ideation-i.e., how such tendencies change over time-are not well understood. To help fill this gap in the literature, we used data from two longitudinal studies (Study 1 N = 107; Study 2 N = 1,037) conducted during the COVID-19 pandemic. We find that greater belief in COVID-19 conspiracy theories at baseline predicts both greater endorsement of a novel real-world conspiracy theory involving voter fraud in the 2020 American Presidential election (Study 1) and increases in generic conspiracist ideation over a period of several months (Studies 1 and 2). Thus, engaging with real-world conspiracy theories appears to act as a gateway, leading to more general increases in conspiracist ideation. Beyond enhancing our knowledge of conspiracist ideation, this work highlights the importance of fighting the spread of conspiracy theories.

Identifiants

pubmed: 36288276
doi: 10.1371/journal.pone.0275502
pii: PONE-D-22-16710
pmc: PMC9604008
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0275502

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Javier A Granados Samayoa (JA)

Department of Psychology, The Ohio State University, Columbus, Ohio, United States of America.

Courtney A Moore (CA)

Department of Psychology, The Ohio State University, Columbus, Ohio, United States of America.

Benjamin C Ruisch (BC)

School of Psychology, University of Kent, Canterbury, United Kingdom.

Shelby T Boggs (ST)

Department of Psychology, The Ohio State University, Columbus, Ohio, United States of America.

Jesse T Ladanyi (JT)

Department of Psychology, The Ohio State University, Columbus, Ohio, United States of America.

Russell H Fazio (RH)

Department of Psychology, The Ohio State University, Columbus, Ohio, United States of America.

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Classifications MeSH