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An energizing role for motivation in information-seeking during the early phase of the COVID-19 pandemic

Author

Listed:
  • Yaniv Abir

    (Columbia University)

  • Caroline B. Marvin

    (Columbia University)

  • Camilla Geen

    (Columbia University
    University of Pennsylvania)

  • Maya Leshkowitz

    (The Hebrew University of Jerusalem)

  • Ran R. Hassin

    (The Hebrew University of Jerusalem)

  • Daphna Shohamy

    (Columbia University
    Columbia University
    Columbia University)

Abstract

The COVID-19 pandemic has highlighted the importance of understanding and managing information seeking behavior. Information-seeking in humans is often viewed as irrational rather than utility maximizing. Here, we hypothesized that this apparent disconnect between utility and information-seeking is due to a latent third variable, motivation. We quantified information-seeking, learning, and COVID-19-related concern (which we used as a proxy for motivation regarding COVID-19 and the changes in circumstance it caused) in a US-based sample (n = 5376) during spring 2020. We found that self-reported levels of COVID-19 concern were associated with directed seeking of COVID-19-related content and better memory for such information. Interestingly, this specific motivational state was also associated with a general enhancement of information-seeking for content unrelated to COVID-19. These effects were associated with commensurate changes to utility expectations and were dissociable from the influence of non-specific anxiety. Thus, motivation both directs and energizes epistemic behavior, linking together utility and curiosity.

Suggested Citation

  • Yaniv Abir & Caroline B. Marvin & Camilla Geen & Maya Leshkowitz & Ran R. Hassin & Daphna Shohamy, 2022. "An energizing role for motivation in information-seeking during the early phase of the COVID-19 pandemic," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30011-5
    DOI: 10.1038/s41467-022-30011-5
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    References listed on IDEAS

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    1. Massimo Stella & Emilio Ferrara & Manlio De Domenico, 2018. "Bots increase exposure to negative and inflammatory content in online social systems," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(49), pages 12435-12440, December.
    2. Johnny King L. Lau & Hiroki Ozono & Kei Kuratomi & Asuka Komiya & Kou Murayama, 2020. "Shared striatal activity in decisions to satisfy curiosity and hunger at the risk of electric shocks," Nature Human Behaviour, Nature, vol. 4(5), pages 531-543, May.
    3. Chater, Nick & Loewenstein, George, 2016. "The under-appreciated drive for sense-making," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PB), pages 137-154.
    4. Branden B. Johnson & Paul Slovic, 1995. "Presenting Uncertainty in Health Risk Assessment: Initial Studies of Its Effects on Risk Perception and Trust," Risk Analysis, John Wiley & Sons, vol. 15(4), pages 485-494, August.
    5. Kenji Kobayashi & Silvio Ravaioli & Adrien Baranès & Michael Woodford & Jacqueline Gottlieb, 2019. "Diverse motives for human curiosity," Nature Human Behaviour, Nature, vol. 3(6), pages 587-595, June.
    6. Timothy E. J. Behrens & Laurence T. Hunt & Mark W. Woolrich & Matthew F. S. Rushworth, 2008. "Associative learning of social value," Nature, Nature, vol. 456(7219), pages 245-249, November.
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