Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Issue ownership in the online campaign for Dutch general elections

A topic modeling approach

Bibliographic Data

ID23027385
AuthorsJoren Vrancken (corresponding author), Tom Dobber (0000-0002-6657-4037, University of Amsterdam), Frederik Zuiderveen Borgesius (0000-0001-5803-827X, Radboud University Nijmegen)
Year2025
Volume7
Issue1
Pages103-138
Publication date2025-05-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Digital Social Research (JOURNAL)
Journal identifiersISSN: 2003-1998 • E-ISSN: 2003-1998
PublisherDIGSUM (Centre for Digital Social Research) (PUBLISHER)
DOI10.33621/jdsr.v7i154885
OpenAlexW4410900977
LanguageEN

Online political campaigns are often opaque, among other reasons because political parties often target their advertising to specific groups. Therefore, it is challenging for citizens, journalists, and academics to understand what political parties talk about in their campaigns, diminishing the public accountability of political parties. Through the lens of issue ownership theory, this study explores which issues Dutch political parties advertised on Meta during the 2021 national election. The study uses a relatively novel topic modeling process that is meant to limit human bias. We built a model that assigns issues to each ad (based on the ad text), creating a dataset of ad-issues matchings. The study is one of the first to present insights into the issues Dutch political parties communicated about during the national elections of 2021. Our findings show that issue owners are not the biggest advertisers on their issues and reveal that private gifts enable some political campaigns to claim ownership of many issues.

Advertising · Business · General election · Political science · Politics · Law · Social Media and Politics

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae