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dc.contributor.authorCork, A
dc.contributor.authorEverson, R
dc.contributor.authorLevine, M
dc.contributor.authorKoschate, M
dc.date.accessioned2020-10-07T12:31:17Z
dc.date.issued2020-09-30
dc.description.abstractThe social identity approach suggests that group prototypical individuals have greater influence over fellow group members. This effect has been well-studied offline. Here, we use a novel method of assessing prototypicality in naturally occurring data to test whether this effect can be replicated in online communities. In Study 1a (N = 53,049 Reddit users), we train a linguistic measure of prototypicality for two social groups: libertarians and entrepreneurs. We then validate this measure further to ensure it is not driven by demographics (Study 1b: N = 882) or local accommodation (Study 1c: N = 1,684 Silk Road users). In Study 2 (N = 8,259), we correlate this measure of prototypicality with social network indicators of social influence. In line with the social identity approach, individuals who are more prototypical generate more responses from others. Implications for testing sociopsychological theories with naturally occurring data using computational approaches are discussed.en_GB
dc.description.sponsorshipengen_GB
dc.identifier.citationVol. 23 (6) pp. 808 - 826en_GB
dc.identifier.doi10.1177/1368430220937354
dc.identifier.grantnumberEP/S001409/1en_GB
dc.identifier.grantnumber1929614en_GB
dc.identifier.urihttp://hdl.handle.net/10871/123137
dc.language.isoenen_GB
dc.publisherSAGE Publicationsen_GB
dc.relation.urlhttps://doi.org/10.24378/exe.2403en_GB
dc.rights© The Author(s) 2020. Open access. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).en_GB
dc.subjectcomputational social scienceen_GB
dc.subjectidentity prototypeen_GB
dc.subjectmachine learningen_GB
dc.subjectonline social influenceen_GB
dc.subjectsocial identity theoryen_GB
dc.titleUsing computational techniques to study social influence online (article)en_GB
dc.typeArticleen_GB
dc.date.available2020-10-07T12:31:17Z
dc.identifier.issn1368-4302
dc.descriptionThis is the final version. Available on open access from SAGE Publications via the DOI in this recorden_GB
dc.descriptionThe dataset associated with this article is available in ORE at https://doi.org/10.24378/exe.2403en_GB
dc.identifier.journalGroup Processes and Intergroup Relationsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-06-04
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-09-30
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-10-07T12:28:58Z
refterms.versionFCDVoR
refterms.dateFOA2020-10-07T12:31:22Z
refterms.panelAen_GB
refterms.depositExceptionpublishedGoldOA


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© The Author(s) 2020. Open access. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Except where otherwise noted, this item's licence is described as © The Author(s) 2020. Open access. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).