Identity-motivated reasoning: Biased judgments regarding political leaders and their actions.


Journal

Cognition
ISSN: 1873-7838
Titre abrégé: Cognition
Pays: Netherlands
ID NLM: 0367541

Informations de publication

Date de publication:
07 2019
Historique:
received: 29 04 2018
revised: 07 12 2018
accepted: 11 12 2018
pubmed: 24 12 2018
medline: 23 7 2020
entrez: 24 12 2018
Statut: ppublish

Résumé

We investigate how constituents interpret information about political leaders in the course of forming judgments about them. More specifically, we are interested in the intentionality attributed to the actions and decisions taken by political leaders - whether they are perceived as designed to benefit the politician's own interests, or the interests of the public. In two field studies, we show that the political orientation of constituents plays a central role in driving constituents' judgments about political leaders and their actions (in terms of beneficiary attributions), reflecting an identity-motivated reasoning process. Political leaders of the ingroup are perceived more favorably than political leaders of the outgroup, in terms of trust and a desire to see that leader represent the country in the international arena. More interestingly, constituents are likely to attribute the actions of ingroup leaders as intended to benefit the country (national interests), and the actions of outgroup leaders as intended to benefit the political leaders themselves (egoistic interests).

Identifiants

pubmed: 30579612
pii: S0010-0277(18)30319-6
doi: 10.1016/j.cognition.2018.12.009
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

64-73

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Sharon Arieli (S)

The Hebrew University of Jerusalem, Israel.

Adi Amit (A)

The Open University of Israel, Israel. Electronic address: adiam@openu.ac.il.

Sari Mentser (S)

The Open University of Israel, Israel.

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Classifications MeSH