Hyppää sisältöön
    • Suomeksi
    • In English
Trepo
  • Suomeksi
  • In English
  • Kirjaudu
Näytä viite 
  •   Etusivu
  • Trepo
  • TUNICRIS-julkaisut
  • Näytä viite
  •   Etusivu
  • Trepo
  • TUNICRIS-julkaisut
  • Näytä viite
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

Vepsäläinen, Tapio; Li, Hongxiu; Suomi, Reima (2024)

 
Avaa tiedosto
The_role_of_social_media_platforms_.pdf (385.1Kt)
Lataukset: 



Vepsäläinen, Tapio
Li, Hongxiu
Suomi, Reima
2024

Digital Government: Research and Practice
19
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
doi:10.1145/3651227
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202502182245

Kuvaus

Peer reviewed
Tiivistelmä
<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 article investigates the role of two different social media platforms, Twitter (now known as "X") 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.</p>
Kokoelmat
  • TUNICRIS-julkaisut [25226]
Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste
 

 

Selaa kokoelmaa

TekijätNimekkeetTiedekunta (2019 -)Tiedekunta (- 2018)Tutkinto-ohjelmat ja opintosuunnatAvainsanatJulkaisuajatKokoelmat

Omat tiedot

Kirjaudu sisäänRekisteröidy
Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste