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University Community Members’ Perceptions of Labels for Online Media

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, 3950 Campus Road, Stop 9015, Grand Forks, ND 58202, USA)

  • Jeremy Straub

    (Department of Computer Science, North Dakota State University, 3950 Campus Road, Stop 9015, Grand Forks, ND 58202, USA)

Abstract

Fake news is prevalent in society. A variety of methods have been used in an attempt to mitigate the spread of misinformation and fake news ranging from using machine learning to detect fake news to paying fact checkers to manually fact check media to ensure its accuracy. In this paper, three studies were conducted at two universities with different regional demographic characteristics to gain a better understanding of respondents’ perception of online media labeling techniques. The first study deals with what fields should appear on a media label. The second study looks into what types of informative labels respondents would use. The third focuses on blocking type labels. Participants’ perceptions, preferences, and results are analyzed by their demographic characteristics.

Suggested Citation

  • Ryan Suttle & Scott Hogan & Rachel Aumaugher & Matthew Spradling & Zak Merrigan & Jeremy Straub, 2021. "University Community Members’ Perceptions of Labels for Online Media," Future Internet, MDPI, vol. 13(11), pages 1-39, October.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:11:p:281-:d:669267
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    References listed on IDEAS

    as
    1. Matthew Spradling & Jeremy Straub & Jay Strong, 2021. "Protection from ‘Fake News’: The Need for Descriptive Factual Labeling for Online Content," Future Internet, MDPI, vol. 13(6), pages 1-26, May.
    2. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    3. Barkan, I.D., 1985. "Industry invites regulation: The passage of the Pure Food and Drug Act of 1906," American Journal of Public Health, American Public Health Association, vol. 75(1), pages 18-26.
    4. 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.
    Full references (including those not matched with items on IDEAS)

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