Agenda formation and prediction of voting tendencies for European parliament election using textual, social and network features

Kurzanzeige
dc.contributor.authorShahi, Gautam Kishore
dc.contributor.authorBasyurt, Ali Sercan
dc.contributor.authorStieglitz, Stefan
dc.contributor.authorNeuberger, Christoph
dc.date.accessioned2025-07-21T14:14:07Z
dc.date.available2025-07-21T14:14:07Z
dc.date.issued2024
dc.description.abstractAs per agenda-setting theory, political agenda is concerned with the government’s agenda, including politicians and political parties. Political actors utilize various channels to set their political agenda, including social media platforms such as Twitter (now X). Political agenda-setting can be influenced by anonymous user-generated content following the Bright Internet. This is why speech acts, experts, users with affiliations and parties through annotated Tweets were analyzed in this study. In doing so, the agenda formation during the 2019 European Parliament Election in Germany based on the agenda-setting theory as our theoretical framework, was analyzed. A prediction model was trained to predict users’ voting tendencies based on three feature categories: social, network, and text. By combining features from all categories logistical regression leads to the best predictions matching the election results. The contribution to theory is an approach to identify agenda formation based on our novel variables. For practice, a novel approach is presented to forecast the winner of events.
dc.identifier.citationShahi, G. K., Basyurt, A. S., Stieglitz, S., & Neuberger, C. (2024). Agenda formation and prediction of voting tendencies for European parliament election using textual, social and network features. Information Systems Frontiers. https://doi.org/10.1007/s10796-024-10568-w
dc.identifier.doihttps://doi.org/10.1007/s10796-024-10568-w
dc.identifier.issn1572-9419
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/931
dc.language.isoeng
dc.publisherSpringer
dc.rightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject2019 European parliament election · Social media analytics · User’s voting prediction · Agenda-setting theory · Political agenda
dc.titleAgenda formation and prediction of voting tendencies for European parliament election using textual, social and network features
dc.typeArticle
dc.type.statuspublishedVersion
dcmi.typeText
local.researchgroupDynamiken digitaler Nachrichtenvermittlung
local.researchtopicDigitale Märkte und Öffentlichkeiten auf Plattformen
Dateien
Originalbündel
Gerade angezeigt 1 - 1 von 1
Vorschaubild
Name:
Neuberger_Agenda-formation.pdf
Größe:
722.48 KB
Format:
Adobe Portable Document Format
Beschreibung:
Herunterladen
Sammlungen
Digitale Märkte und Öffentlichkeiten auf Plattformen