An edition of Extremism and social learning (2007)

Extremism and social learning

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Extremism and social learning
Edward L. Glaeser
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Last edited by MARC Bot
December 22, 2020 | History
An edition of Extremism and social learning (2007)

Extremism and social learning

  • 0 Ratings
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"When members of deliberating groups speak with one another, their predeliberation tendencies often become exacerbated as their views become more extreme. The resulting phenomenon -- group polarization -- has been observed in many settings, and it bears on the actions of juries, administrative tribunals, corporate boards, and other institutions. Polarization can result from rational Bayesian updating by group members, but in many contexts, this rational interpretation of polarization seems implausible. We argue that people are better seen as Credulous Bayesians, who insufficiently adjust for idiosyncratic features of particular environments and put excessive weight on the statements of others where there are 1) common sources of information; 2) highly unrepresentative group membership; 3) statements that are made to obtain approval; and 4) statements that are designed to manipulate. Credulous Bayesianism can produce extremism and significant blunders. We discuss the implications of Credulous Bayesianism for law and politics, including media policy and cognitive diversity on administrative agencies and courts"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Cover of: Extremism and social learning
Extremism and social learning
2007, National Bureau of Economic Research
Electronic resource in English

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Book Details


Edition Notes

Title from PDF file as viewed on 6/5/2008.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 13687, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 13687.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL17088787M
LCCN
2008612441

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December 22, 2020 Edited by MARC Bot import existing book
February 13, 2010 Edited by WorkBot add more information to works
December 10, 2009 Created by WorkBot add works page