IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0266050.html
   My bibliography  Save this article

A dual-process approach to prosocial behavior under COVID-19 uncertainty

Author

Listed:
  • Daniela Costa
  • Nuno Fernandes
  • Joana Arantes
  • José Keating

Abstract

Uncertainty has been shown to reduce the willingness to cooperate in various social dilemmas and negatively affect prosocial behavior. However, some studies showed that uncertainty does not always decrease prosocial behavior, depending on the type of uncertainty. More specifically, recent research has shown that prosocial behavior tends to increase under impact uncertainty—uncertainty about the consequences for others if they become infected. In addition, researchers have argued that intuition favors prosocial behavior while deliberation leads to selfish behavior. Our study explored how intuitive (time pressure) or deliberate mental processing, under outcome, or impact uncertainty affect prosocial behavior in the context of the COVID-19 pandemic. Our sample consists of 496 participants, and we used a 4 (COVID-19 scenario: Control vs. Impact Uncertainty vs. Worst-Case vs. Indirect Transmission) by 2 (decision time: time delay vs. time pressure) between-subjects design. Results suggest that participants are more inclined to stay at home (prosocial intention) when forced to make their decisions intuitively rather than deliberately. Additionally, we found that uncertainty does not always decrease prosocial behavior. It seems that uncertainty does not affect the prosocial intention in a scenario with a real infectious disease. These findings suggest that the distinction between outcome and impact uncertainty may be due to the realism of experimental stimuli interventions.

Suggested Citation

  • Daniela Costa & Nuno Fernandes & Joana Arantes & José Keating, 2022. "A dual-process approach to prosocial behavior under COVID-19 uncertainty," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-18, March.
  • Handle: RePEc:plo:pone00:0266050
    DOI: 10.1371/journal.pone.0266050
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0266050
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0266050&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0266050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Campos-Mercade, Pol & Meier, Armando N. & Schneider, Florian H. & Wengström, Erik, 2021. "Prosociality predicts health behaviors during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 195(C).
    2. Haisley, Emily C. & Weber, Roberto A., 2010. "Self-serving interpretations of ambiguity in other-regarding behavior," Games and Economic Behavior, Elsevier, vol. 68(2), pages 614-625, March.
    3. Valerio Capraro & Hélène Barcelo, 2020. "The effect of messaging and gender on intentions to wear a face covering to slow down COVID-19 transmission," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S2), pages 45-55, December.
    4. Jay J. Van Bavel & Katherine Baicker & Paulo S. Boggio & Valerio Capraro & Aleksandra Cichocka & Mina Cikara & Molly J. Crockett & Alia J. Crum & Karen M. Douglas & James N. Druckman & John Drury & Oe, 2020. "Using social and behavioural science to support COVID-19 pandemic response," Nature Human Behaviour, Nature, vol. 4(5), pages 460-471, May.
    5. David G. Rand & Joshua D. Greene & Martin A. Nowak, 2012. "Spontaneous giving and calculated greed," Nature, Nature, vol. 489(7416), pages 427-430, September.
    6. Garcia, Thomas & Massoni, Sébastien & Villeval, Marie Claire, 2020. "Ambiguity and excuse-driven behavior in charitable giving," European Economic Review, Elsevier, vol. 124(C).
    7. Andreas Kappes & Anne-Marie Nussberger & Nadira S. Faber & Guy Kahane & Julian Savulescu & Molly J. Crockett, 2018. "Uncertainty about the impact of social decisions increases prosocial behaviour," Nature Human Behaviour, Nature, vol. 2(8), pages 573-580, August.
    8. Christine L. Exley, 2016. "Excusing Selfishness in Charitable Giving: The Role of Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(2), pages 587-628.
    9. Müller, Stephan & Rau, Holger A., 2021. "Economic preferences and compliance in the social stress test of the COVID-19 crisis," Journal of Public Economics, Elsevier, vol. 194(C).
    10. Francesca Gino & Michael I. Norton & Roberto A. Weber, 2016. "Motivated Bayesians: Feeling Moral While Acting Egoistically," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 189-212, Summer.
    11. Jeremy Cone & David G Rand, 2014. "Time Pressure Increases Cooperation in Competitively Framed Social Dilemmas," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-13, December.
    12. Min Gong & Jonathan Baron & Howard Kunreuther, 2009. "Group cooperation under uncertainty," Journal of Risk and Uncertainty, Springer, vol. 39(3), pages 251-270, December.
    13. Austin Y. Hubner & Shelly R. Hovick, 2020. "Understanding Risk Information Seeking and Processing during an Infectious Disease Outbreak: The Case of Zika Virus," Risk Analysis, John Wiley & Sons, vol. 40(6), pages 1212-1225, June.
    14. David G. Rand & Alexander Peysakhovich & Gordon T. Kraft-Todd & George E. Newman & Owen Wurzbacher & Martin A. Nowak & Joshua D. Greene, 2014. "Social heuristics shape intuitive cooperation," Nature Communications, Nature, vol. 5(1), pages 1-12, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Umer, Hamza, 2022. "Does pro-sociality or trust better predict staying home behavior during the Covid-19?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    2. Marie Claire Villeval, 2019. "Comportements (non) éthiques et stratégies morales," Revue économique, Presses de Sciences-Po, vol. 70(6), pages 1021-1046.
    3. Billur Aksoy & Silvana Krasteva, 2020. "When does less information translate into more giving to public goods?," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1148-1177, December.
    4. Amanda Kvarven & Eirik Strømland & Conny Wollbrant & David Andersson & Magnus Johannesson & Gustav Tinghög & Daniel Västfjäll & Kristian Ove R. Myrseth, 2020. "The intuitive cooperation hypothesis revisited: a meta-analytic examination of effect size and between-study heterogeneity," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(1), pages 26-42, June.
    5. Borau, Sylvie & Couprie, Hélène & Hopfensitz, Astrid, 2022. "The prosociality of married people: Evidence from a large multinational sample," Journal of Economic Psychology, Elsevier, vol. 92(C).
    6. Grimalda, Gianluca & Murtin, Fabrice & Pipke, David & Putterman, Louis & Sutter, Matthias, 2023. "The politicized pandemic: Ideological polarization and the behavioral response to COVID-19," European Economic Review, Elsevier, vol. 156(C).
    7. Vanessa Valero, 2022. "Redistribution and beliefs about the source of income inequality," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 876-901, June.
    8. Hernando Santamaría-García & Miguel Burgaleta & Agustina Legaz & Daniel Flichtentrei & Mateo Córdoba-Delgado & Juliana Molina-Paredes & Juliana Linares-Puerta & Juan Montealegre-Gómez & Sandra Castelb, 2022. "The price of prosociality in pandemic times," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    9. Exley, Christine L. & Petrie, Ragan, 2018. "The impact of a surprise donation ask," Journal of Public Economics, Elsevier, vol. 158(C), pages 152-167.
    10. Ging-Jehli, Nadja R. & Schneider, Florian H. & Weber, Roberto A., 2020. "On self-serving strategic beliefs," Games and Economic Behavior, Elsevier, vol. 122(C), pages 341-353.
    11. David Klinowski, 2021. "Reluctant donors and their reactions to social information," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 515-535, June.
    12. David G Rand & Gordon Kraft-Todd & June Gruber, 2015. "The Collective Benefits of Feeling Good and Letting Go: Positive Emotion and (dis)Inhibition Interact to Predict Cooperative Behavior," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-12, January.
    13. Katherine B. Coffman & Christine L. Exley & Muriel Niederle, 2021. "The Role of Beliefs in Driving Gender Discrimination," Management Science, INFORMS, vol. 67(6), pages 3551-3569, June.
    14. Adrian Hillenbrand & Eugenio Verrina, 2018. "The differential effect of narratives prosocial behavior," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2018_16, Max Planck Institute for Research on Collective Goods, revised Jun 2020.
    15. Andersson, Ola & Campos-Mercade, Pol & Meier, Armando N. & Wengström, Erik, 2021. "Anticipation of COVID-19 vaccines reduces willingness to socially distance," Journal of Health Economics, Elsevier, vol. 80(C).
    16. Goeschl, Timo & Lohse, Johannes, 2016. "Cooperation in Public Good Games. Calculated or Confused?," Working Papers 0626, University of Heidelberg, Department of Economics.
    17. Lata Gangadharan & Philip J. Grossman & Nina Xue, 2021. "Identifying self-image concerns from motivated beliefs: Does it matter how and whom you ask?," Monash Economics Working Papers 2021-17, Monash University, Department of Economics.
    18. Hansson, Kajsa & Persson, Emil & Davidai, Shai & Tinghög, Gustav, 2021. "Losing sense of fairness: How information about a level playing field reduces selfish behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 66-75.
    19. Jay J. Van Bavel & Katherine Baicker & Paulo S. Boggio & Valerio Capraro & Aleksandra Cichocka & Mina Cikara & Molly J. Crockett & Alia J. Crum & Karen M. Douglas & James N. Druckman & John Drury & Oe, 2020. "Using social and behavioural science to support COVID-19 pandemic response," Nature Human Behaviour, Nature, vol. 4(5), pages 460-471, May.
    20. Goeschl, Timo & Lohse, Johannes, 2018. "Cooperation in public good games. Calculated or confused?," European Economic Review, Elsevier, vol. 107(C), pages 185-203.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0266050. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.