Partisan Bias in Political Judgment.


Journal

Annual review of psychology
ISSN: 1545-2085
Titre abrégé: Annu Rev Psychol
Pays: United States
ID NLM: 0372374

Informations de publication

Date de publication:
05 Sep 2024
Historique:
medline: 6 9 2024
pubmed: 6 9 2024
entrez: 5 9 2024
Statut: aheadofprint

Résumé

This article reviews empirical data demonstrating robust ingroup favoritism in political judgment. Partisans display systematic tendencies to seek out, believe, and remember information that supports their political beliefs and affinities. However, the psychological drivers of partisan favoritism have been vigorously debated, as has its consistency with rational inference. We characterize decades-long debates over whether such tendencies violate normative standards of rationality, focusing on the phenomenon of motivated reasoning. In light of evidence that both motivational and cognitive factors contribute to partisan bias, we advocate for a descriptive approach to partisan bias research. Rather than adjudicating the (ir)rationality of partisan favoritism, future research should prioritize the identification and measurement of its predictors and clarify the cognitive mechanisms underlying motivated political reasoning. Ultimately, we argue that political judgment is best evaluated by a standard of ecological rationality based on its practical implications for individual well-being and functional democratic governance.

Identifiants

pubmed: 39237099
doi: 10.1146/annurev-psych-030424-122723
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Peter H Ditto (PH)

1Department of Psychological Science, University of California, Irvine, California, USA; email: phditto@uci.edu.

Jared B Celniker (JB)

2Philosophy, Cognition, and Culture Lab, Arizona State University, Tempe, Arizona, USA.

Shiri Spitz Siddiqi (SS)

1Department of Psychological Science, University of California, Irvine, California, USA; email: phditto@uci.edu.

Mertcan Güngör (M)

1Department of Psychological Science, University of California, Irvine, California, USA; email: phditto@uci.edu.

Daniel P Relihan (DP)

1Department of Psychological Science, University of California, Irvine, California, USA; email: phditto@uci.edu.

Classifications MeSH