We examine the impact of partisan language (i.e., language that describes events in a manner that supports a political agenda), both with regard to peoples' perceptions of the speakers who use it and their evaluations of the events it is used to describe. In two experiments, we recruited 1121 Democrats and Republicans from the United States. Using a set of liberal-biased (e.g., expand voting rights) and conservative-biased (e.g., reduce election security) terms, we find that partisans judge speakers describing polarizing events using ideologically-congruent language as more trustworthy than those describing events in a non-partisan way (e.g., expand mail-in voting). However, when presented to rival partisans, ideologically-biased language promoted negative evaluations of opposing partisans, with speakers attributed out-group language being viewed as far less trustworthy than non-partisan speakers. Furthermore, presenting Democrats and Republicans with ideologically-congruent descriptions of political events polarized their attitudes towards the events described. Overall, the present investigation reveals how partisan language, while praised by co-partisans, can damage trust and amplify disagreement across political divides.
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http://dx.doi.org/10.1016/j.cognition.2024.106012 | DOI Listing |
Public Underst Sci
January 2025
University of Washington, USA.
To discover the means of persuasion available to experts who embrace the responsibility of public communication in times of crisis, this study uses a text/countertext method of rhetorical analysis on U.S. newspaper editorials by scientists writing about COVID-19 policy.
View Article and Find Full Text PDFCognition
January 2025
Department of Psychology, University of Waterloo, Waterloo, ON, Canada.
We examine the impact of partisan language (i.e., language that describes events in a manner that supports a political agenda), both with regard to peoples' perceptions of the speakers who use it and their evaluations of the events it is used to describe.
View Article and Find Full Text PDFNat Commun
November 2024
Department of Mathematics, City St George's, University of London, London, UK.
Existing studies of political polarization are often limited to a single country and one form of polarization, hindering a comprehensive understanding of the phenomenon. Here we investigate patterns of polarization online across nine countries (Canada, France, Germany, Italy, Poland, Spain, Turkey, UK, USA), focusing on the structure of political interaction networks, the use of toxic language targeting out-groups, and how these factors relate to user engagement. First, we show that political interaction networks are structurally polarized on Twitter (currently X).
View Article and Find Full Text PDFFront Psychol
October 2024
Brian Lamb School of Communication, Purdue University, West Lafayette, IN, United States.
Introduction: Appealing to individuals' social identity is a powerful form of social influence, capable of changing the way people process information, the information they think about, and how they evaluate other individuals. The purpose of this study is to explore the idea that Democrat and Republican environmental norms may impact the attributes and strategies partisans use when choosing whether to have solar panels on a house.
Methods: An online study with = 363 participants was conducted to examine these possible effects through multi-attribute decision making, applying predefined decision process models to participant behavior to test which attribute-based models best describe participants' decision making.
JAMA Health Forum
September 2024
Nemours Children's Health, Wilmington, Delaware.
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