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[journal article]

dc.contributor.authorSchoch, Davidde
dc.contributor.authorKeller, Franziska B.de
dc.contributor.authorStier, Sebastiande
dc.contributor.authorYang, JungHwande
dc.date.accessioned2023-03-30T16:55:01Z
dc.date.available2023-03-30T16:55:01Z
dc.date.issued2022de
dc.identifier.issn2045-2322de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/86005
dc.description.abstractOnline political astroturfing—hidden information campaigns in which a political actor mimics genuine citizen behavior by incentivizing agents to spread information online—has become prevalent on social media. Such inauthentic information campaigns threaten to undermine the Internet’s promise to more equitable participation in public debates. We argue that the logic of social behavior within the campaign bureaucracy and principal–agent problems lead to detectable activity patterns among the campaign’s social media accounts. Our analysis uses a network-based methodology to identify such coordination patterns in all campaigns contained in the largest publicly available database on astroturfing published by Twitter. On average, 74% of the involved accounts in each campaign engaged in a simple form of coordination that we call co-tweeting and co-retweeting. Comparing the astroturfing accounts to various systematically constructed comparison samples, we show that the same behavior is negligible among the accounts of regular users that the campaigns try to mimic. As its main substantive contribution, the paper demonstrates that online political astroturfing consistently leaves similar traces of coordination, even across diverse political and country contexts and different time periods. The presented methodology is a reliable first step for detecting astroturfing campaigns.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.ddcNews media, journalism, publishingen
dc.subject.ddcPolitikwissenschaftde
dc.subject.ddcPublizistische Medien, Journalismus,Verlagswesende
dc.subject.ddcPolitical scienceen
dc.titleCoordination patterns reveal online political astroturfing across the worldde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalScientific Reports
dc.source.volume12de
dc.publisher.countryGBRde
dc.subject.classozInteractive, electronic Mediaen
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozPolitical Process, Elections, Political Sociology, Political Cultureen
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.classozinteraktive, elektronische Mediende
dc.subject.classozpolitische Willensbildung, politische Soziologie, politische Kulturde
dc.subject.thesozDesinformationde
dc.subject.thesozInterneten
dc.subject.thesozsocial mediaen
dc.subject.thesoztwitteren
dc.subject.thesozTwitterde
dc.subject.thesozSoziale Mediende
dc.subject.thesozInternetde
dc.subject.thesozprincipal-agent-theoryen
dc.subject.thesozdisinformationen
dc.subject.thesozKampagnede
dc.subject.thesoznetwork analysisen
dc.subject.thesozPrincipal-Agent-Modellde
dc.subject.thesozNetzwerkanalysede
dc.subject.thesozcampaignen
dc.identifier.urnurn:nbn:de:0168-ssoar-86005-7
dc.rights.licenceCreative Commons - Attribution 4.0en
dc.rights.licenceCreative Commons - Namensnennung 4.0de
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040528
internal.identifier.thesoz10063936
internal.identifier.thesoz10065114
internal.identifier.thesoz10094228
internal.identifier.thesoz10082210
internal.identifier.thesoz10053147
internal.identifier.thesoz10094030
dc.type.stockarticlede
dc.type.documentjournal articleen
dc.type.documentZeitschriftenartikelde
dc.source.pageinfo1-10de
internal.identifier.classoz10504
internal.identifier.classoz10105
internal.identifier.classoz1080404
internal.identifier.journal1619
internal.identifier.document32
internal.identifier.ddc320
internal.identifier.ddc070
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1038/s41598-022-08404-9de
dc.description.pubstatusPublished Versionen
dc.description.pubstatusVeröffentlichungsversionde
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
dc.subject.classhort10100de
dc.subject.classhort10800de
dc.subject.classhort10500de
ssoar.wgl.collectiontruede
internal.pdf.validtrue
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.licence.fundGefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491156185 / Funded by the German Research Foundation (DFG) - Project number 491156185


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