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Persuasion Bias, Social Influence, and Unidimensional Opinions

Open access
DeMarzo, P. M., Vayanos, D., Zwiebel, J.·2003·The Quarterly Journal of Economics

Abstract

We propose a boundedly-rational model of opinion formation where agents are subject to the phenomenon of persuasion. We argue that persuasion - whereby repeated exposure to an opinion has a cumulative effect on an agent's beliefs - is pervasive and closely related to the concept of social influence. In our model, agents communicate repeatedly according to a social network, but fail to adjust properly for possible repetitions of information they receive. We show that under general conditions, agents' beliefs converge over time to a common belief, which is a weighted average of initial beliefs. Agents' weights can be characterized in several manners related to their network position, and can be interpreted as a measure of social influence. Furthermore, agents' multi-dimensional beliefs generally converge to a single line prior to obtaining a consensus. Thus, long-run differences in opinion can be characterized by a uni-dimensional measure. We explore the implications of our model in several natural settings, including neighborhoods with bilateral communication, hierarchies, and political science.

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Metadata

Authors
DeMarzo, P. M., Vayanos, D., & Zwiebel, J.
Venue
The Quarterly Journal of Economics
Published
2003-08-01
Volume
118
Issue
3
Pages
909-968
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W3125863268
Cited by
958
References
52
FWCI
7.01
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Persuasion Bias, Social Influence, and Unidimensional Opinions. https://app.cochat.ai/papers/10.1162/00335530360698469
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DeMarzo, P. M., Vayanos, D., & Zwiebel, J. (2003). Persuasion Bias, Social Influence, and Unidimensional Opinions. The Quarterly Journal of Economics. https://doi.org/10.1162/00335530360698469

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.