An Agent-Based Model of Deliberative Democracy and Polarization

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dc.contributor.authorLee, Bokwonko
dc.contributor.authorKim, Yohanko
dc.contributor.authorLee, Kyu-Minko
dc.contributor.authorYang, Jae-Sukko
dc.date.accessioned2022-04-13T06:50:57Z-
dc.date.available2022-04-13T06:50:57Z-
dc.date.created2020-10-14-
dc.date.created2020-10-14-
dc.date.issued2022-04-
dc.identifier.citationJOURNAL OF MATHEMATICAL SOCIOLOGY, v.46, no.2, pp.173 - 194-
dc.identifier.issn0022-250X-
dc.identifier.urihttp://hdl.handle.net/10203/292585-
dc.description.abstractIn this paper, we examined the effect of deliberative democracy on the polarization of opinion. Through three case analyses, we find that deliberative democracy has two major components - provision of information and group discussion. Polarization of opinion can be explained by several theories: social identity theory, social comparison, and confirmation bias. We constructed a deliberative democracy model that reflected these mechanisms of polarization. We found that deliberative democracy actually decreased polarization of opinion when group discussion was a strong factor. Our study provides guidelines for an institutional design incorporating deliberative democracy, with emphasis on the composition of unbiased group discussions.-
dc.languageEnglish-
dc.publisherTAYLOR & FRANCIS INC-
dc.titleAn Agent-Based Model of Deliberative Democracy and Polarization-
dc.typeArticle-
dc.identifier.wosid000583594600001-
dc.identifier.scopusid2-s2.0-85094137046-
dc.type.rimsART-
dc.citation.volume46-
dc.citation.issue2-
dc.citation.beginningpage173-
dc.citation.endingpage194-
dc.citation.publicationnameJOURNAL OF MATHEMATICAL SOCIOLOGY-
dc.identifier.doi10.1080/0022250X.2020.1836625-
dc.contributor.localauthorYang, Jae-Suk-
dc.contributor.nonIdAuthorLee, Bokwon-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorDeliberative democracy-
dc.subject.keywordAuthorpolarization-
dc.subject.keywordAuthorsocial identity theory-
dc.subject.keywordAuthorsocial comparison-
dc.subject.keywordAuthorconformation bias-
dc.subject.keywordAuthorgroup discussion-
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