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Fixing fake news: Understanding and managing the marketer-consumer information echosystem

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  • Berthon, Pierre
  • Chohan, Raeesah
  • Pehlivan, Ekin
  • Rabinovich, Tamara

Abstract

Remedies to fake news have generally emphasized identification of false content (information fact-checking) and censorship (curtailing information dissemination). In this article, we focus on the systems within which fake news travels, rather than the information per se. Specifically, we look at the marketer-consumer ecosystem and argue that such signaling systems tend to become self-reinforcing, such that the information content becomes orthodoxy; technically, this is known as a homeostatic system. From this perspective, solutions to the dissemination of fake news are the identification of links in signaling systems that can disrupt the homeostatic cycle. Our article is set out as follows. First, we provide a brief overview of fake news and of the primary methods used to counter its spread. Second, we take a systems view on news and its dissemination. Third, we illustrate the self-reinforcing tendency of such systems by means of four case studies. Fourth, we explore what managers can do to manage the marketer-consumer information ecosystem so as to minimize fake news. This involves two steps: (1) understanding the system and its components; and (2) based on these insights, making substantive changes to the system. The latter step includes changing the elements of the system, adding feedback loops, and changing the goals of the system.

Suggested Citation

  • Berthon, Pierre & Chohan, Raeesah & Pehlivan, Ekin & Rabinovich, Tamara, 2022. "Fixing fake news: Understanding and managing the marketer-consumer information echosystem," Business Horizons, Elsevier, vol. 65(6), pages 729-738.
  • Handle: RePEc:eee:bushor:v:65:y:2022:i:6:p:729-738
    DOI: 10.1016/j.bushor.2022.07.006
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    References listed on IDEAS

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    1. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    2. Adam Kucharski, 2016. "Study epidemiology of fake news," Nature, Nature, vol. 540(7634), pages 525-525, December.
    3. 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.
    4. Pehlivan, Ekin & Berthon, Pierre & Hughes, Mine Üçok & Berthon, Jean-Paul, 2015. "Keeping up with The Joneses: Stealth, secrets, and duplicity in marketing relationships," Business Horizons, Elsevier, vol. 58(6), pages 591-598.
    5. Sharareh Kermanshachi & Thahomina Jahan Nipa & Halil Nadiri, 2022. "Service quality assessment and enhancement using Kano model," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-17, February.
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    Cited by:

    1. Hsin‐Hui Lin & Ching‐Feng Chen & Chih‐Lun Wu, 2023. "The effects of news authenticity and social media tie strength on consumer dissemination behavior," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2292-2313, June.

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