Focusing on fake news' contents: the association between ingroup identification, perceived outgroup threat, analytical-intuitive thinking and detecting fake news

Çoksan, Sami and Yılmaz, Ayşenur Didem (2024) Focusing on fake news' contents: the association between ingroup identification, perceived outgroup threat, analytical-intuitive thinking and detecting fake news. Analyses of Social Issues and Public Policy, 24 (1). pp. 102-132. ISSN 1529-7489 (Print) 1530-2415 (Online)

This is the latest version of this item.

Full text not available from this repository. (Request a copy)

Abstract

This study aims to reveal the fake news content in the context of the social identity approach and to examine the mediating role of perceived outgroup on the association between ingroup identification and detecting fake news blaming ingroup, outgroup, or fictional groups. Study 1 found that fake news could be gathered under six themes: contacted-outgroup blaming, represented-outgroup blaming, outgroup derogation, outgroup appreciation, ingroup glorification, and phantom-mastermind blaming. In preregistered Study 2 with representative non-weird participants (N = 216), we examined the mediating role of perceived outgroup threat on the association between ingroup identification and detecting fake news revealed in Study 1. Perceived outgroup threat was only mediating for detecting outgroup-blaming fake news when intuitive and analytical thinking styles were controlled. Detecting ingroup-blaming fake news was associated with ingroup identification. Analytical thinking predicted only detecting phantom-mastermind-blaming fake news. Findings demonstrated that the contents of fake news play a vital role in detecting them, and variables pointing to content (i.e., ingroup identification for ingroup-blaming fake news, and perceived outgroup threat for outgroup-blaming fake news) are predictive for detecting fake news.
Item Type: Article
Divisions: Faculty of Arts and Social Sciences > Academic programs > Psychology
Faculty of Arts and Social Sciences
Depositing User: Ayşenur Didem Yılmaz
Date Deposited: 25 Sep 2024 14:22
Last Modified: 25 Sep 2024 14:22
URI: https://research.sabanciuniv.edu/id/eprint/50133

Available Versions of this Item

Actions (login required)

View Item
View Item