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Unanimity, Discord, and the Communication of Public Opinion

Bibliographic Data

ID6232109
AuthorsRobert Huckfeldt (University of California, Davis, corresponding author)
Year2007
Volume51
Issue4
Pages978-995
Publication date2007-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0092-5853 • E-ISSN: 1540-5907
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1540-5907.2007.00292.x
OpenAlexW2043260170
LanguageEN
Citations received41
References cited31

This article is concerned with the political communication of opinion that occurs through networks of associated citizens. Its primary attention focuses on opinion variance within populations and networks and how such variance affects communication among and between individuals. Particularly in the context of ambiguous or infrequent communication, people may experience difficulty in forming judgments regarding the opinions of others. In such situations, environmental priors become useful devices for reaching these judgments, but a problem arises related to the utility of these environmental priors when discord rather than unanimity characterizes the contextual distribution of opinion. The article's argument is that dyadic discussions between two citizens are most enlightening, and environmental priors least enlightening, when surrounding opinion is marked by higher levels of disagreement. The analyses are based on data taken from the 1996 Indianapolis‐St. Louis study

Argument (complex analysis · Bayesian probability · Biology · Construct (python library · Context (archaeology · Economics · Epistemology · Political science · Politics · Prior probability · Public opinion · Sociology · Unanimity · Variance (accounting · Artificial Intelligence · Computer Science · Electoral Systems and Political Participation · History · Law · Opinion Dynamics and Social Influence · Philosophy · Psychology · Social Media and Politics · Social Psychology

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Unique citing works41
Citations per year2,28
Citation span2008 - 2024 (17)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 41

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