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Quantifying Data-Driven Campaigning Across Sponsors and Platforms

Author

Listed:
  • Michael M. Franz

    (Department of Government and Legal Studies, Bowdoin College, USA)

  • Meiqing Zhang

    (Wesleyan Media Project, Wesleyan University, USA)

  • Travis N. Ridout

    (School of Politics, Philosophy, and Public Affairs, Washington State University, USA)

  • Pavel Oleinikov

    (Wesleyan Media Project, Wesleyan University, USA / Quantitative Analysis Center, Wesleyan University, USA)

  • Jielu Yao

    (East Asian Institute, National University of Singapore, Singapore)

  • Furkan Cakmak

    (Wesleyan Media Project, Wesleyan University, USA)

  • Erika Franklin Fowler

    (Department of Government, Wesleyan University, USA)

Abstract

Although modern data-driven campaigning (DDC) is not entirely new, scholars have typically relied on reports and interviews of practitioners to understand its use. However, the advent of public ad libraries from Meta and Google provides an opportunity to measure the scope and variation in DDC practice in advertising across different types of sponsors and within sponsors across platforms. Using textual and audiovisual processing, we create a database of ads from the 2022 US elections. These data allow us to create an index that quantifies the extent of DDC at the level of the sponsor and platform. This index takes into account both the number of unique creatives placed and the similarity across those creatives. In addition, we explore the impact of sponsor resources, the office being sought, and the competitiveness of the race on the measure of DDC sophistication. Ultimately, our research establishes a measurement strategy for DDC that can be applied across ad sponsors, campaigns, parties, and even countries. Understanding the extent of DDC is vital for policy discussions surrounding the regulation of microtargeting and data privacy.

Suggested Citation

  • Michael M. Franz & Meiqing Zhang & Travis N. Ridout & Pavel Oleinikov & Jielu Yao & Furkan Cakmak & Erika Franklin Fowler, 2024. "Quantifying Data-Driven Campaigning Across Sponsors and Platforms," Media and Communication, Cogitatio Press, vol. 12.
    • Handle: RePEc:cog:meanco:v12:y:2024:a:8577
    DOI: 10.17645/mac.8577
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    References listed on IDEAS

    as
    1. Simon Kruschinski & Márton Bene, 2022. "In varietate concordia?! Political parties’ digital political marketing in the 2019 European Parliament election campaign," European Union Politics, , vol. 23(1), pages 43-65, March.
    2. Fowler, Erika Franklin & Franz, Michael M. & Martin, Gregory J. & Peskowitz, Zachary & Ridout, Travis N., 2021. "Political Advertising Online and Offline," American Political Science Review, Cambridge University Press, vol. 115(1), pages 130-149, February.
    Full references (including those not matched with items on IDEAS)

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