Work

Bayesian Belief Polarization due to Differential Perceptions of Source Independence

Year: 2024

Type: article

Abstract: Belief polarization represents a puzzling and important dynamic in belief updating. There is growing awareness that belief polarization can be Bayesian. We provide pre-registered experimental evidence that beliefs can polarize when people receive conflicting testimony from two groups of sources if they have different beliefs about which group's members have greater independence in terms of the factors which affect their testimony. We show this is predicted by a Bayesian Network model of belief updating.

Source: eScholarship (California Digital Library)

Authors: Young, David J., de-Wit, Lee H, Madsen, Jens Koed

Institutions: University of Cambridge, London School of Economics and Political Science

Language: English

Topic: Decision-Making and Behavioral Economics

Subfield: General Decision Sciences

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: Templeton World Charity Foundation

OpenAlex ID: W7026968349

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