Erkenntnis 86 (6):1509-1530 (2021)

Authors
Aydin Mohseni
University of Pittsburgh
Abstract
Typically, public discussions of questions of social import exhibit two important properties: they are influenced by conformity bias, and the influence of conformity is expressed via social networks. We examine how social learning on networks proceeds under the influence of conformity bias. In our model, heterogeneous agents express public opinions where those expressions are driven by the competing priorities of accuracy and of conformity to one’s peers. Agents learn, by Bayesian conditionalization, from private evidence from nature, and from the public declarations of other agents. Our key findings are that networks that produce configurations of social relationships that sustain a diversity of opinions empower honest communication and reliable acquisition of true beliefs, and that the networks that do this best turn out to be those which are both less centralized and less connected.
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DOI 10.1007/s10670-019-00167-6
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References found in this work BETA

The Division of Cognitive Labor.Philip Kitcher - 1990 - Journal of Philosophy 87 (1):5-22.
The Division of Cognitive Labor.Philip Kitcher - 1990 - Journal of Philosophy 87 (1):5-22.

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