Issue ownership in the online campaign for Dutch general elections

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.

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Publication Details

Journal
Journal of Digital Social Research
Published
2025-05-30
DOI
https://doi.org/10.33621/jdsr.v7i154885
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.00
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article

Issue ownership in the online campaign for Dutch general elections

Frederik Zuiderveen Borgesius, Tom Dobber, Joren Vrancken
Journal of Digital Social Research
Social Media and Politics
article

Issue ownership in the online campaign for Dutch general elections

Frederik Zuiderveen Borgesius, Tom Dobber, Joren Vrancken
article en

Abstract

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.

Journal of Digital Social ResearchVol. 7(1)
Radboud University Nijmegen (NL), University of Amsterdam (NL)
Openalex Percentile: Top 86%
Social Media and Politics
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