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Media and Communication
Article . 2024 . Peer-reviewed
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Article . 2024
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Accepting Exclusion: Examining the (Un)Intended Consequences of Data-Driven Campaigns

Examining the (un)intended consequences of data-driven campaigns
Authors: Sophie Minihold; Fabio Votta;

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

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.

Country
Netherlands
Keywords

citizens, information asymmetry, data-driven campaign, Communication. Mass media, P87-96, exclusion, meta ad targeting dataset

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Top 10%
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