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  • 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. (xsd:string)
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?:dateModified
  • 2024 (xsd:gyear)
?:datePublished
  • 2024 (xsd:gyear)
?:doi
  • 10.1177/08944393241249708 ()
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  • true (xsd:boolean)
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  • en (xsd:string)
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?:issn
  • 1552-8286 ()
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  • 5 (xsd:string)
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  • Citizens' Acceptance of Data-Driven Political Campaigning: A 25-Country Cross-National Vignette Study (xsd:string)
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  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
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  • GESIS-SSOAR (xsd:string)
  • In: Social Science Computer Review, 42, 2024, 5, 1101-1119 (xsd:string)
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?:volumeNumber
  • 42 (xsd:string)