Social Sampling and Expressed Attitudes: Authenticity Preference and Social Extremeness Aversion Lead to Social Norm Effects and Polarization
A cognitive model of social influence (Social Sampling Theory [SST]) is developed and applied to several social network phenomena including polarization and contagion effects. Social norms and individuals' private attitudes are represented as distributions rather than the single points used in...
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Veröffentlicht in: | Psychological review 2022-01, Vol.129 (1), p.18-48 |
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description | A cognitive model of social influence (Social Sampling Theory [SST]) is developed and applied to several social network phenomena including polarization and contagion effects. Social norms and individuals' private attitudes are represented as distributions rather than the single points used in most models. SST is explored using agent-based modeling to link individual-level and network-level effects. People are assumed to observe the behavior of their social network neighbors and thereby infer the social distribution of particular attitudes and behaviors. It is assumed that (a) people dislike behaving in ways that are extreme within their neighborhood social norm (social extremeness aversion assumption), and hence tend to conform and (b) people prefer to behave consistently with their own underlying attitudes (authenticity preference assumption) hence minimizing dissonance. Expressed attitudes and behavior reflect a utility-maximizing compromise between these opposing principles. SST is applied to a number of social phenomena including (a) homophily and the development of segregated neighborhoods, (b) polarization, (c) effects of norm homogeneity on social conformity, (d) pluralistic ignorance and false consensus effects, (e) backfire effects, (f) interactions between world view and social norm effects, and (g) the opposing effects on subjective well-being of authentic behavior and high levels of social comparison. More generally, it is argued that explanations of social comparison require the variance, not just the central tendency, of both attitudes and beliefs about social norms to be accommodated. |
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A. ; Lewandowsky, Stephan ; Huang, Zhihong</creator><contributor>Grigorenko, Elena L</contributor><creatorcontrib>Brown, Gordon D. A. ; Lewandowsky, Stephan ; Huang, Zhihong ; Grigorenko, Elena L</creatorcontrib><description>A cognitive model of social influence (Social Sampling Theory [SST]) is developed and applied to several social network phenomena including polarization and contagion effects. Social norms and individuals' private attitudes are represented as distributions rather than the single points used in most models. SST is explored using agent-based modeling to link individual-level and network-level effects. People are assumed to observe the behavior of their social network neighbors and thereby infer the social distribution of particular attitudes and behaviors. It is assumed that (a) people dislike behaving in ways that are extreme within their neighborhood social norm (social extremeness aversion assumption), and hence tend to conform and (b) people prefer to behave consistently with their own underlying attitudes (authenticity preference assumption) hence minimizing dissonance. Expressed attitudes and behavior reflect a utility-maximizing compromise between these opposing principles. SST is applied to a number of social phenomena including (a) homophily and the development of segregated neighborhoods, (b) polarization, (c) effects of norm homogeneity on social conformity, (d) pluralistic ignorance and false consensus effects, (e) backfire effects, (f) interactions between world view and social norm effects, and (g) the opposing effects on subjective well-being of authentic behavior and high levels of social comparison. More generally, it is argued that explanations of social comparison require the variance, not just the central tendency, of both attitudes and beliefs about social norms to be accommodated.</description><identifier>ISSN: 0033-295X</identifier><identifier>EISSN: 1939-1471</identifier><identifier>DOI: 10.1037/rev0000342</identifier><identifier>PMID: 35266789</identifier><language>eng</language><publisher>United States: American Psychological Association</publisher><subject>Affect ; Attitude ; Attitudes ; Authenticity ; Aversion ; Behavior ; Cognitive models ; Conformity ; Contagion ; Decision Making ; False consensus ; Human ; Humans ; Ignorance ; Individual differences ; Influence ; Intelligent Agents ; Neighborhoods ; Polarization ; Preferences ; Sampling ; Sampling (Experimental) ; Social Behavior ; Social Comparison ; Social Conformity ; Social Norms ; Well being</subject><ispartof>Psychological review, 2022-01, Vol.129 (1), p.18-48</ispartof><rights>2022 The Author(s)</rights><rights>2022, The Author(s)</rights><rights>Copyright American Psychological Association Jan 2022</rights><rights>2022 The Author(s) 2022 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a470t-1559e0721263dffb17861a9dfb533e366d72839c482c07d374e81d10f08390773</citedby><orcidid>0000-0002-2257-1459</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35266789$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Grigorenko, Elena L</contributor><creatorcontrib>Brown, Gordon D. A.</creatorcontrib><creatorcontrib>Lewandowsky, Stephan</creatorcontrib><creatorcontrib>Huang, Zhihong</creatorcontrib><title>Social Sampling and Expressed Attitudes: Authenticity Preference and Social Extremeness Aversion Lead to Social Norm Effects and Polarization</title><title>Psychological review</title><addtitle>Psychol Rev</addtitle><description>A cognitive model of social influence (Social Sampling Theory [SST]) is developed and applied to several social network phenomena including polarization and contagion effects. Social norms and individuals' private attitudes are represented as distributions rather than the single points used in most models. SST is explored using agent-based modeling to link individual-level and network-level effects. People are assumed to observe the behavior of their social network neighbors and thereby infer the social distribution of particular attitudes and behaviors. It is assumed that (a) people dislike behaving in ways that are extreme within their neighborhood social norm (social extremeness aversion assumption), and hence tend to conform and (b) people prefer to behave consistently with their own underlying attitudes (authenticity preference assumption) hence minimizing dissonance. Expressed attitudes and behavior reflect a utility-maximizing compromise between these opposing principles. SST is applied to a number of social phenomena including (a) homophily and the development of segregated neighborhoods, (b) polarization, (c) effects of norm homogeneity on social conformity, (d) pluralistic ignorance and false consensus effects, (e) backfire effects, (f) interactions between world view and social norm effects, and (g) the opposing effects on subjective well-being of authentic behavior and high levels of social comparison. More generally, it is argued that explanations of social comparison require the variance, not just the central tendency, of both attitudes and beliefs about social norms to be accommodated.</description><subject>Affect</subject><subject>Attitude</subject><subject>Attitudes</subject><subject>Authenticity</subject><subject>Aversion</subject><subject>Behavior</subject><subject>Cognitive models</subject><subject>Conformity</subject><subject>Contagion</subject><subject>Decision Making</subject><subject>False consensus</subject><subject>Human</subject><subject>Humans</subject><subject>Ignorance</subject><subject>Individual differences</subject><subject>Influence</subject><subject>Intelligent Agents</subject><subject>Neighborhoods</subject><subject>Polarization</subject><subject>Preferences</subject><subject>Sampling</subject><subject>Sampling (Experimental)</subject><subject>Social Behavior</subject><subject>Social Comparison</subject><subject>Social Conformity</subject><subject>Social Norms</subject><subject>Well being</subject><issn>0033-295X</issn><issn>1939-1471</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kl1rFDEUhoModrt64w-QAW9EGc3HTDLxQljK-gGLFqrgXcgmZ9qUmck0ySzd_gf_s9nutn5cmJvAOc95OS_vQegZwW8IZuJtgA3Oj1X0AZoRyWRJKkEeolmusZLK-scROo7xcgcRKR-jI1ZTzkUjZ-jnmTdOd8WZ7sfODeeFHmyxvB4DxAi2WKTk0mQhvisWU7qAITnj0rY4DdBCgMHA7cBBZHmdAvQw5NlisYEQnR-KFWhbJH_HfPGhL5ZtCybF29lT3-ngbnTK8BP0qNVdhKeHf46-f1h-O_lUrr5-_HyyWJW6EjiVpK4lYEEJ5cy27ZqIhhMtbbuuGQPGuRW0YdJUDTVYWCYqaIgluMW5ioVgc_R-rztO6x6syb6C7tQYXK_DVnnt1N-dwV2oc79RjcSNYDQLvDwIBH81QUyqd9FA1-kB_BRVXqzBlDKBM_riH_TST2HI9jJV0RyXqPj_KSY45yRbmqNXe8oEH2PO4H5lgtXuFtTvW8jw8z9N3qN34Wfg9R7Qo1Zj3BodcrwdRDOFnG3aiSlCpSKKNOwXSwK_gw</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Brown, Gordon D. A.</creator><creator>Lewandowsky, Stephan</creator><creator>Huang, Zhihong</creator><general>American Psychological Association</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7RZ</scope><scope>PSYQQ</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-2257-1459</orcidid></search><sort><creationdate>202201</creationdate><title>Social Sampling and Expressed Attitudes: Authenticity Preference and Social Extremeness Aversion Lead to Social Norm Effects and Polarization</title><author>Brown, Gordon D. A. ; Lewandowsky, Stephan ; Huang, Zhihong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a470t-1559e0721263dffb17861a9dfb533e366d72839c482c07d374e81d10f08390773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Affect</topic><topic>Attitude</topic><topic>Attitudes</topic><topic>Authenticity</topic><topic>Aversion</topic><topic>Behavior</topic><topic>Cognitive models</topic><topic>Conformity</topic><topic>Contagion</topic><topic>Decision Making</topic><topic>False consensus</topic><topic>Human</topic><topic>Humans</topic><topic>Ignorance</topic><topic>Individual differences</topic><topic>Influence</topic><topic>Intelligent Agents</topic><topic>Neighborhoods</topic><topic>Polarization</topic><topic>Preferences</topic><topic>Sampling</topic><topic>Sampling (Experimental)</topic><topic>Social Behavior</topic><topic>Social Comparison</topic><topic>Social Conformity</topic><topic>Social Norms</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brown, Gordon D. A.</creatorcontrib><creatorcontrib>Lewandowsky, Stephan</creatorcontrib><creatorcontrib>Huang, Zhihong</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>APA PsycArticles®</collection><collection>ProQuest One Psychology</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Psychological review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brown, Gordon D. A.</au><au>Lewandowsky, Stephan</au><au>Huang, Zhihong</au><au>Grigorenko, Elena L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social Sampling and Expressed Attitudes: Authenticity Preference and Social Extremeness Aversion Lead to Social Norm Effects and Polarization</atitle><jtitle>Psychological review</jtitle><addtitle>Psychol Rev</addtitle><date>2022-01</date><risdate>2022</risdate><volume>129</volume><issue>1</issue><spage>18</spage><epage>48</epage><pages>18-48</pages><issn>0033-295X</issn><eissn>1939-1471</eissn><abstract>A cognitive model of social influence (Social Sampling Theory [SST]) is developed and applied to several social network phenomena including polarization and contagion effects. Social norms and individuals' private attitudes are represented as distributions rather than the single points used in most models. SST is explored using agent-based modeling to link individual-level and network-level effects. People are assumed to observe the behavior of their social network neighbors and thereby infer the social distribution of particular attitudes and behaviors. It is assumed that (a) people dislike behaving in ways that are extreme within their neighborhood social norm (social extremeness aversion assumption), and hence tend to conform and (b) people prefer to behave consistently with their own underlying attitudes (authenticity preference assumption) hence minimizing dissonance. Expressed attitudes and behavior reflect a utility-maximizing compromise between these opposing principles. 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subjects | Affect Attitude Attitudes Authenticity Aversion Behavior Cognitive models Conformity Contagion Decision Making False consensus Human Humans Ignorance Individual differences Influence Intelligent Agents Neighborhoods Polarization Preferences Sampling Sampling (Experimental) Social Behavior Social Comparison Social Conformity Social Norms Well being |
title | Social Sampling and Expressed Attitudes: Authenticity Preference and Social Extremeness Aversion Lead to Social Norm Effects and Polarization |
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