The Role of Social Media Platforms in Forecasting Elections: A Comparison of Twitter and Facebook

dc.contributor.authorVepsäläinen, Tapio
dc.contributor.authorLi, Hongxiu
dc.contributor.authorSuomi, Reima
dc.contributor.organizationfi=tietojärjestelmätiede|en=Information Systems Science|
dc.contributor.organization-code1.2.246.10.2458963.20.70128852004
dc.converis.publication-id456791663
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/456791663
dc.date.accessioned2025-08-27T21:38:34Z
dc.date.available2025-08-27T21:38:34Z
dc.description.abstract<p>Prior literature shows that social media could be used to forecast political elections. Most studies have focused on a single social media platform, and few studies have explored the use of social media data across multiple platforms to make election predictions. Though candidates’ personal attributes have also been suggested as critical factors affecting election results, there has been little research into the interacting effect of social media and candidate attributes in predicting elections. To address the research gap, this paper investigates the role of two different social media platforms, Twitter and Facebook, in forecasting the 2019 Finnish parliamentary elections, and how candidates’ political experience moderates the role of the two platforms in predicting elections. The findings show that both the number of Facebook likes and the number of Twitter followers are associated with the election outcome positively. Political experience of candidates moderates the association between the number of Facebook likes and election outcomes as well as the association between the number of Twitter followers and election outcomes. This research adds to the discussion on how social media can predict election results. It considers both different social media platforms and the roles of the candidate attributes.<br></p>
dc.identifier.eissn2639-0175
dc.identifier.jour-issn2691-199X
dc.identifier.olddbid200797
dc.identifier.oldhandle10024/183824
dc.identifier.urihttps://www.utupub.fi/handle/11111/47160
dc.identifier.urlhttps://doi.org/10.1145/3651227
dc.identifier.urnURN:NBN:fi-fe2025082785126
dc.language.isoen
dc.okm.affiliatedauthorVepsäläinen, Tapio
dc.okm.affiliatedauthorLi, Hongxiu
dc.okm.affiliatedauthorSuomi, Reima
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherAssociation for Computing Machinery
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.articlenumber19
dc.relation.doi10.1145/3651227
dc.relation.ispartofjournalDigital government
dc.relation.issue3
dc.relation.volume5
dc.source.identifierhttps://www.utupub.fi/handle/10024/183824
dc.titleThe Role of Social Media Platforms in Forecasting Elections: A Comparison of Twitter and Facebook
dc.year.issued2024

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