Epistemic networks and polarization

Daniel J. Singer, Patrick Grim, Aaron Bramson, Bennett Holman, Jiin Jung, William J. Berger

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Epistemic network models are tools for understanding how information and beliefs move in groups of connected epistemic agents. While these tools have been used in philosophy mostly by philosophers of science and social epistemologists, this chapter discusses how epistemic network models can be used to investigate political polarization. The goal of this chapter is to give the reader a good idea of how epistemic network models can be used to approach complex questions in political epistemology about groups of agents sharing information and beliefs. The chapter starts by introducing the idea of an epistemic network model and the general approach to understanding complex epistemic phenomena in which these models play a role. We then discuss a series of epistemic network models of political polarization including ones from Hegselmann and Krause, Singer et al., and Weatherall and O’Connor. We conclude with brief thoughts about how epistemic network models can be used to answer other questions in political epistemology.

Original languageEnglish
Title of host publicationThe Routledge Handbook of Political Epistemology
PublisherTaylor and Francis
Pages133-144
Number of pages12
ISBN (Electronic)9781000371925
ISBN (Print)9780367345907
DOIs
Publication statusPublished - 2021 Apr 22

Bibliographical note

Publisher Copyright:
© 2021 selection and editorial matter Daniel J. Singer, Patrick Grim, Aaron Bramson, Bennett Holman, Jiin Jung, and William J. Berger.

All Science Journal Classification (ASJC) codes

  • Arts and Humanities(all)

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