Using computational techniques to study social influence online (article)
dc.contributor.author | Cork, A | |
dc.contributor.author | Everson, R | |
dc.contributor.author | Levine, M | |
dc.contributor.author | Koschate, M | |
dc.date.accessioned | 2020-10-07T12:31:17Z | |
dc.date.issued | 2020-09-30 | |
dc.description.abstract | The 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.sponsorship | eng | en_GB |
dc.identifier.citation | Vol. 23 (6) pp. 808 - 826 | en_GB |
dc.identifier.doi | 10.1177/1368430220937354 | |
dc.identifier.grantnumber | EP/S001409/1 | en_GB |
dc.identifier.grantnumber | 1929614 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/123137 | |
dc.language.iso | en | en_GB |
dc.publisher | SAGE Publications | en_GB |
dc.relation.url | https://doi.org/10.24378/exe.2403 | en_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.subject | computational social science | en_GB |
dc.subject | identity prototype | en_GB |
dc.subject | machine learning | en_GB |
dc.subject | online social influence | en_GB |
dc.subject | social identity theory | en_GB |
dc.title | Using computational techniques to study social influence online (article) | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-10-07T12:31:17Z | |
dc.identifier.issn | 1368-4302 | |
dc.description | This is the final version. Available on open access from SAGE Publications via the DOI in this record | en_GB |
dc.description | The dataset associated with this article is available in ORE at https://doi.org/10.24378/exe.2403 | en_GB |
dc.identifier.journal | Group Processes and Intergroup Relations | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-06-04 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-09-30 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-10-07T12:28:58Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-10-07T12:31:22Z | |
refterms.panel | A | en_GB |
refterms.depositException | publishedGoldOA |
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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).