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Deceptive Content Labeling Survey Data from Two U.S. Midwestern Universities

Author

Listed:
  • Ryan Suttle

    (Department of Mathematics & Applied Sciences, University of Michigan-Flint, Flint, MI 48502, USA)

  • Scott Hogan

    (Department of Mathematics & Applied Sciences, University of Michigan-Flint, Flint, MI 48502, USA)

  • Rachel Aumaugher

    (Department of Mathematics & Applied Sciences, University of Michigan-Flint, Flint, MI 48502, USA)

  • Matthew Spradling

    (Department of Mathematics & Applied Sciences, University of Michigan-Flint, Flint, MI 48502, USA)

  • Zak Merrigan

    (Department of Computer Science, North Dakota State University, Fargo, ND 58102, USA)

  • Jeremy Straub

    (Department of Computer Science, North Dakota State University, Fargo, ND 58102, USA)

Abstract

Intentionally deceptive online content seeks to manipulate individuals in their roles as voters, consumers, and participants in society at large. While this problem is pronounced, techniques to combat it may exist. To analyze the problem and potential solutions, we conducted three surveys relating to how news consumption decisions are made and the impact of labels on decision making. This article describes these three surveys and the data that were collected by them.

Suggested Citation

  • Ryan Suttle & Scott Hogan & Rachel Aumaugher & Matthew Spradling & Zak Merrigan & Jeremy Straub, 2022. "Deceptive Content Labeling Survey Data from Two U.S. Midwestern Universities," Data, MDPI, vol. 7(3), pages 1-10, February.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:3:p:26-:d:755833
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    References listed on IDEAS

    as
    1. Jonathan Albright, 2017. "Welcome to the Era of Fake News," Media and Communication, Cogitatio Press, vol. 5(2), pages 87-89.
    2. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    3. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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