Truth and Conformity on Networks.
Typically, public discussions of questions of social import exhibit two important properties: (1) they are influenced by conformity bias, and (2) the influence of conformity is expressed via social networks. We examine how social learning on networks proceeds under the influence of conformity bias....
| Publicado en: | Erkenntnis Vol. 86; no. 6; pp. 1509 - 1531 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=156376001&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 156376001 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01650106 5KZ jtl: Erkenntnis issn: 01650106 maglogo: N pubinfo: dt: Dec2021 vid: 86 iid: 6 pid: 237 pub: Springer Nature artinfo: ui: 156376001 10.1007/s10670-019-00167-6 ppf: 1509 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.2MB tig: atl: Truth and Conformity on Networks. aug: au: Mohseni, Aydin Williams, Cole Randall affil: Department of Logic and Philosophy of Science, University of California, Irvine, 3151 Social Science Plaza A, 92697-5100, Irvine, CA, USA su: Conformity Social learning Public opinion Social networks sug: subj: Conformity Social learning Public opinion Social networks ab: Typically, public discussions of questions of social import exhibit two important properties: (1) they are influenced by conformity bias, and (2) the influence of conformity is expressed via social networks. We examine how social learning on networks proceeds under the influence of conformity bias. In our model, heterogeneous agents express public opinions where those expressions are driven by the competing priorities of accuracy and of conformity to one's peers. Agents learn, by Bayesian conditionalization, from private evidence from nature, and from the public declarations of other agents. Our key findings are that networks that produce configurations of social relationships that sustain a diversity of opinions empower honest communication and reliable acquisition of true beliefs, and that the networks that do this best turn out to be those which are both less centralized and less connected. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Erkenntnis is a copyright of Springer, 2021. All Rights Reserved. item: Erkenntnis holder: Springer Nature dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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