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Data campaigning: between empirics and assumptions

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  • Baldwin-Philippi, Jessica

Abstract

The use of big data in political campaigns extends far beyond micro-targeting, and has been singled out by journalists and campaign staffers alike as a powerful force that is integral to electoral victory. Current scholarship on the subject remains more mixed, however. This article provides an overview of what we know (and don't yet know) about the effects of data-campaigning across various goals of political campaigns, alongside more public facing narratives that present data campaigning as an all-powerful tactic, highlighting the gap between these two views.

Suggested Citation

  • Baldwin-Philippi, Jessica, 2019. "Data campaigning: between empirics and assumptions," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 8(4), pages 1-18.
  • Handle: RePEc:zbw:iprjir:214096
    DOI: 10.14763/2019.4.1437
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    References listed on IDEAS

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    1. Dobber, Tom & Trilling, Damian & Helberger, Natali & de Vreese, Claes H., 2017. "Two crates of beer and 40 pizzas: the adoption of innovative political behavioural targeting techniques," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 6(4), pages 1-25.
    2. Kalla, Joshua L. & Broockman, David E., 2018. "The Minimal Persuasive Effects of Campaign Contact in General Elections: Evidence from 49 Field Experiments," American Political Science Review, Cambridge University Press, vol. 112(1), pages 148-166, February.
    3. Kruschinski, Simon & Haller, André, 2017. "Restrictions on data-driven political micro-targeting in Germany," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 6(4), pages 1-23.
    4. David W. Nickerson & Todd Rogers, 2014. "Political Campaigns and Big Data," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 51-74, Spring.
    5. Dommett, Katharine, 2019. "Data-driven political campaigns in practice: understanding and regulating diverse data-driven campaigns," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 8(4), pages 1-18.
    6. Rogers, Todd T & Michelson, Melissa R. & Valenzuela, Ali Adam & Malhotra, Neil, 2011. "Text Messages as Mobilization Tools: The Conditional Effect of Habitual Voting and Election Salience," Scholarly Articles 10471523, Harvard Kennedy School of Government.
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