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Frame-Induced Group Polarization in Small Discussion Networks

Bibliographic Data

ID7525964
AuthorsMark Gabbay (0000-0002-4116-6782, University of Washington, Seattle, WA, USA, corresponding author), Zane Kelly (University of Washington, Seattle, WA, USA), Justin Reedy (0000-0002-7581-8558, University of Oklahoma, Norman, OK, USA), John Gastil (0000-0002-0337-1064, Pennsylvania State University, University Park, PA, USA)
Year2018
Volume81
Issue3
Pages248-271
Publication date2018-08-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Psychology Quarterly (JOURNAL)
Journal identifiersISSN: 0190-2725 • E-ISSN: 1939-8999
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0190272518778784
OpenAlexW2889178409
LanguageEN
Citations received1
References cited27

We present a novel explanation for the group polarization effect whereby discussion among like-minded individuals induces shifts toward the extreme. Our theory distinguishes between a quantitative policy under debate and the discussion’s rhetorical frame, such as the likelihood of an outcome. If policy and frame position are mathematically related so that frame position increases more slowly as the policy becomes more extreme, majority formation at the extreme is favored, thereby shifting consensus formation toward the extreme. Additionally, use of a heuristic frame can shift the frame reference point away from the policy reference, yielding differential polarization on opposing policy sides. We present a mathematical model that predicts consensus policy given group member initial preferences and network structure. Our online group discussion experiment manipulated policy side, disagreement level, and network structure. The results, which challenge existing polarization theory, are in qualitative and quantitative accord with our theory and model

Econometrics · Economics · Frame (networking · Frame of reference · Mathematical economics · Physics · Polarization (electrochemistry · Reference frame · Rhetorical question · Telecommunications · Complex Network Analysis Techniques · Computer Science · Opinion Dynamics and Social Influence · Psychology · Social Media and Politics · Social Psychology

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Unique citing works1
Citations per year0,25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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