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.scopus | 2025-05-24T03:46:41Z | |
| cris.lastimport.wos | 2025-07-19T01:31:19Z | |
| dc.contributor.institution | University of Zurich | |
| dc.date.accessioned | 2018-12-05T13:27:10Z | |
| dc.date.available | 2018-12-05T13:27:10Z | |
| dc.date.issued | 2018-03-22 | |
| dc.description.abstract | Politicians 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.doi | 10.1177/2056305118765733 | |
| dc.identifier.issn | 2056-3051 | |
| dc.identifier.scopus | 2-s2.0-85044996789 | |
| dc.identifier.uri | https://www.zora.uzh.ch/handle/20.500.14742/148644 | |
| dc.identifier.wos | 000436860200001 | |
| dc.language.iso | eng | |
| dc.subject | ||
| dc.subject | ||
| dc.subject | success on social media | |
| dc.subject | political communication | |
| dc.subject | Switzerland | |
| dc.subject.ddc | 070 News media, journalism & publishing | |
| dc.title | Followers, spread the message! Predicting the success of Swiss politicians on Facebook and Twitter | |
| dc.type | article | |
| dcterms.accessRights | info:eu-repo/semantics/openAccess | |
| dcterms.bibliographicCitation.journaltitle | Social Media and Society | |
| dcterms.bibliographicCitation.number | 1 | |
| dcterms.bibliographicCitation.originalpublishername | Sage Publications Ltd. | |
| dcterms.bibliographicCitation.pageend | 11 | |
| dcterms.bibliographicCitation.pagestart | 1 | |
| dcterms.bibliographicCitation.volume | 4 | |
| dspace.entity.type | Publication | en |
| uzh.contributor.affiliation | University of Zurich | |
| uzh.contributor.affiliation | Universität Hamburg | |
| uzh.contributor.author | Keller, Tobias R | |
| uzh.contributor.author | Kleinen-von Königslöw, Katharina | |
| uzh.contributor.correspondence | Yes | |
| uzh.contributor.correspondence | No | |
| uzh.document.availability | published_version | |
| uzh.eprint.datestamp | 2018-12-05 13:27:10 | |
| uzh.eprint.lastmod | 2025-07-19 02:22:06 | |
| uzh.eprint.statusChange | 2018-12-17 15:00:49 | |
| uzh.harvester.eth | Yes | |
| uzh.harvester.nb | No | |
| uzh.identifier.doi | 10.5167/uzh-159237 | |
| uzh.jdb.eprintsId | 38122 | |
| uzh.oastatus.unpaywall | gold | |
| uzh.oastatus.zora | Gold | |
| uzh.publication.citation | Keller, 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.freeAccessAt | doi | |
| uzh.publication.originalwork | original | |
| uzh.publication.publishedStatus | final | |
| uzh.scopus.impact | 38 | |
| uzh.scopus.subjects | Cultural Studies | |
| uzh.scopus.subjects | Communication | |
| uzh.scopus.subjects | Computer Science Applications | |
| uzh.workflow.doaj | uzh.workflow.doaj.true | |
| uzh.workflow.eprintid | 159237 | |
| uzh.workflow.fulltextStatus | public | |
| uzh.workflow.revisions | 64 | |
| uzh.workflow.rightsCheck | offen | |
| uzh.workflow.source | CrossRef:10.1177/2056305118765733 | |
| uzh.workflow.status | archive | |
| uzh.wos.impact | 29 | |
| Files | ||
| Publication available in collections: |