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A comment on "A 2 million-person, campaign-wide field experiment shows how digital advertising affects voter turnout"

Author

Listed:
  • Geissler, Dominique
  • Maarouf, Abdurahman
  • Bär, Dominik
  • Pröllochs, Nicolas
  • Feuerriegel, Stefan

Abstract

Aggarwal et al. (2023) analyze the effects of an 8-month-long advertising program on voter turnout in the 2020 US presidential election. Therein, 2 million voters were exposed to pro-Biden and anti-Trump advertisements on social media in five battleground states. The study finds no average treatment effect on voter turnout but differential effects when modeling by Trump support: Biden supporters are 0.4 percentage points more likely to vote while Trump supporters are 0.3 percentage points less likely to vote (t = −2.09 with p-value

Suggested Citation

  • Geissler, Dominique & Maarouf, Abdurahman & Bär, Dominik & Pröllochs, Nicolas & Feuerriegel, Stefan, 2025. "A comment on "A 2 million-person, campaign-wide field experiment shows how digital advertising affects voter turnout"," I4R Discussion Paper Series 237, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:237
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    References listed on IDEAS

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    1. Minali Aggarwal & Jennifer Allen & Alexander Coppock & Dan Frankowski & Solomon Messing & Kelly Zhang & James Barnes & Andrew Beasley & Harry Hantman & Sylvan Zheng, 2023. "A 2 million-person, campaign-wide field experiment shows how digital advertising affects voter turnout," Nature Human Behaviour, Nature, vol. 7(3), pages 332-341, March.
    2. Abel Brodeur & Anna Dreber & Fernando Hoces de la Guardia & Edward Miguel, 2024. "Reproduction and replication at scale," Nature Human Behaviour, Nature, vol. 8(1), pages 2-3, January.
    3. Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
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