Citizens' Acceptance of Data-Driven Political Campaigning: A 25-Country Cross-National Vignette Study

Rens Vliegenthart, Jade Vrielink, Katharine Dommett, Rachel Gibson, Esmeralda V. Bon, Xiaotong Chu, Claes de Vreese, Sophie Lecheler, Jörg Matthes, Sophie Minihold, Lukas Otto, Marlis Stubenvoll, Sanne Kruikemeier

Research output: Contribution to journalArticlepeer-review

Abstract

This paper investigates how the acceptance of data-driven political campaigning depends on four different message characteristics. A vignette study was conducted in 25 countries with a total of 14,390 respondents who all evaluated multiple descriptions of political advertisements. Relying on multi-level models, we find that in particular the source and the issue of the message matters. Messages that are sent by a party the respondent likes and deal with a political issue the respondent considers important are rated more acceptable. Furthermore, targeting based on general characteristics instead of individual ones is considered more acceptable, as is a general call to participate in the upcoming elections instead of a specific call to vote for a certain party. Effects differ across regulatory contexts, with the negative impact of both individual targeting and a specific call to vote for a certain party being in countries that have higher levels of legislative regulation.
Original languageEnglish
Pages (from-to)1-19
Number of pages19
JournalSocial Science Computer Review
Volume0
Issue number0
DOIs
Publication statusPublished - 1 May 2024

Keywords

  • privacy
  • microtargeting
  • vignette study
  • data driven campaigns
  • elections
  • data-driven campaigning
  • acceptance
  • vignettes
  • cross-national comaprison
  • privacy regulations

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