Publication:
Followers, spread the message! Predicting the success of Swiss politicians on Facebook and Twitter

Date

Date

Date
2018
Journal Article
Published version
cris.lastimport.scopus2025-05-24T03:46:41Z
cris.lastimport.wos2025-07-19T01:31:19Z
dc.contributor.institutionUniversity of Zurich
dc.date.accessioned2018-12-05T13:27:10Z
dc.date.available2018-12-05T13:27:10Z
dc.date.issued2018-03-22
dc.description.abstractPoliticians have been criticized for not exploiting the deliberative potential of social media platforms. We complement previous definitions of politicians’ success on social media through the lens of network media logic: Despite the lack of deliberation, some succeed in building large digital followerships, which spread their messages via reactions through the network. Analyzing a data set of personal, structural, and social media characteristics of Swiss politicians, we used path analysis to determine which predict their success on Facebook (n = 63) and Twitter (n = 108). Politicians, who are active in parliament, represent urban regions and receive substantial amounts of traditional media coverage also have larger digital followerships on both platforms. Digital followership in turn influences the average number of digital reactions on Facebook, but not on Twitter. Thus, politicians’ success on social media depends on their personal background, political activity, and media coverage, and also their followership and the platform.
dc.identifier.doi10.1177/2056305118765733
dc.identifier.issn2056-3051
dc.identifier.scopus2-s2.0-85044996789
dc.identifier.urihttps://www.zora.uzh.ch/handle/20.500.14742/148644
dc.identifier.wos000436860200001
dc.language.isoeng
dc.subjectFacebook
dc.subjectTwitter
dc.subjectsuccess on social media
dc.subjectpolitical communication
dc.subjectSwitzerland
dc.subject.ddc070 News media, journalism & publishing
dc.titleFollowers, spread the message! Predicting the success of Swiss politicians on Facebook and Twitter
dc.typearticle
dcterms.accessRightsinfo:eu-repo/semantics/openAccess
dcterms.bibliographicCitation.journaltitleSocial Media and Society
dcterms.bibliographicCitation.number1
dcterms.bibliographicCitation.originalpublishernameSage Publications Ltd.
dcterms.bibliographicCitation.pageend11
dcterms.bibliographicCitation.pagestart1
dcterms.bibliographicCitation.volume4
dspace.entity.typePublicationen
uzh.contributor.affiliationUniversity of Zurich
uzh.contributor.affiliationUniversität Hamburg
uzh.contributor.authorKeller, Tobias R
uzh.contributor.authorKleinen-von Königslöw, Katharina
uzh.contributor.correspondenceYes
uzh.contributor.correspondenceNo
uzh.document.availabilitypublished_version
uzh.eprint.datestamp2018-12-05 13:27:10
uzh.eprint.lastmod2025-07-19 02:22:06
uzh.eprint.statusChange2018-12-17 15:00:49
uzh.harvester.ethYes
uzh.harvester.nbNo
uzh.identifier.doi10.5167/uzh-159237
uzh.jdb.eprintsId38122
uzh.oastatus.unpaywallgold
uzh.oastatus.zoraGold
uzh.publication.citationKeller, Tobias R; Kleinen-von Königslöw, Katharina (2018). Followers, spread the message! Predicting the success of Swiss politicians on Facebook and Twitter. Social Media and Society, 4(1):1-11.
uzh.publication.freeAccessAtdoi
uzh.publication.originalworkoriginal
uzh.publication.publishedStatusfinal
uzh.scopus.impact38
uzh.scopus.subjectsCultural Studies
uzh.scopus.subjectsCommunication
uzh.scopus.subjectsComputer Science Applications
uzh.workflow.doajuzh.workflow.doaj.true
uzh.workflow.eprintid159237
uzh.workflow.fulltextStatuspublic
uzh.workflow.revisions64
uzh.workflow.rightsCheckoffen
uzh.workflow.sourceCrossRef:10.1177/2056305118765733
uzh.workflow.statusarchive
uzh.wos.impact29
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