City Research Online

Masters of suspicion: A Bayesian decision model of motivated political reasoning

Rigoli, F. ORCID: 0000-0003-2233-934X (2021). Masters of suspicion: A Bayesian decision model of motivated political reasoning. Journal for the Theory of Social Behaviour, doi: 10.1111/jtsb.12274

Abstract

Motivated reasoning occurs when judgements subserve motives that go beyond accuracy seeking. Substantial evidence indicates that motivated political reasoning is ubiquitous. This is hard to reconcile with computational theories (following Marr's terminology, theories describing the fundamental principles underlying a cognitive process) like Bayesian inference, because these rely on accuracy maximization. Hence, motivated political reasoning is often interpreted as violating computational principles. Here we propose a different view by offering a computational account of motivated political reasoning which relies on the notion of Bayesian decision (instead of Bayesian inference). The key idea is that utility maximization, and not accuracy maximization, drives political thinking. This implies that agents will tend to endorse judgements that serve their instrumental goals even when evidence in support is poor (though agents will still believe their judgements are the most accurate). In this framework, motivated political reasoning is not interpreted as violating computational principles, although its nature is now conceived as pragmatic (i.e., serving instrumental goals) rather than epistemic (i.e., seeking understanding). The paper presents a mathematical description of the theory and shows how this can help interpreting important phenomena in political psychology such contextual priming, stereotyping, and displaced aggression.

Publication Type: Article
Additional Information: © 2021. The Authors. Journal for the Theory of Social Behaviour published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords: Bayesian, computational, displaced aggression, motivated reasoning, political reasoning, stereotype
Subjects: B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences > HA Statistics
J Political Science
Q Science > QA Mathematics
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Departments: School of Arts & Social Sciences > Psychology
Date Deposited: 21 Apr 2021 09:53
URI: https://openaccess.city.ac.uk/id/eprint/25942
[img]
Preview
Text - Published Version
Available under License Creative Commons: Attribution International Public License 4.0.

Download (693kB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login