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Accepting Exclusion: Examining the (Un)Intended Consequences of Data-Driven Campaigns

Author

Listed:
  • Sophie Minihold

    (Department of Communication, University of Vienna, Austria / Amsterdam School of Communication Research, University of Amsterdam, The Netherlands)

  • Fabio Votta

    (Amsterdam School of Communication Research, University of Amsterdam, The Netherlands)

Abstract

Using citizens’ data not only enables precise targeting of campaign messages online, but also the deliberate exclusion of certain groups of citizens. This study asks (a) to what extent have citizens been excluded from political (online) ads during the Dutch 2021 and 2023 election campaigns and (b) how acceptable citizens find the practice of exclusion. To answer these questions, we use data from the Meta Ad Targeting dataset to investigate any employed exclusion criteria by parties and rely on survey data collected during the 2023 Dutch general election to learn about citizens’ opinions. Our study reveals that political parties across the spectrum allocated less budget to targeting and excluding citizens in 2023 compared to 2021. Predominantly, exclusion is based on age, gender, and place of residence, with criteria such as political views, migration background, and religious beliefs being relatively uncommon. Despite citizens considering all forms of exclusion unacceptable, they view exclusion based on political views as the most tolerable. Moreover, individuals leaning towards the political right exhibit greater acceptance of exclusion, particularly based on migration background. In scrutinizing the extent of citizen exclusion from political campaign messaging and citizens’ perceptions, we contribute to the discourse on the unintended consequences of data-driven campaigning.

Suggested Citation

  • Sophie Minihold & Fabio Votta, 2024. "Accepting Exclusion: Examining the (Un)Intended Consequences of Data-Driven Campaigns," Media and Communication, Cogitatio Press, vol. 12.
    • Handle: RePEc:cog:meanco:v12:y:2024:a:8685
    DOI: 10.17645/mac.8685
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    References listed on IDEAS

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    1. Anastasia Kozyreva & Philipp Lorenz-Spreen & Ralph Hertwig & Stephan Lewandowsky & Stefan M. Herzog, 2021. "Public attitudes towards algorithmic personalization and use of personal data online: evidence from Germany, Great Britain, and the United States," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
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