IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0157838.html
   My bibliography  Save this article

"To Bluff like a Man or Fold like a Girl?" – Gender Biased Deceptive Behavior in Online Poker

Author

Listed:
  • Jussi Palomäki
  • Jeff Yan
  • David Modic
  • Michael Laakasuo

Abstract

Evolutionary psychology suggests that men are more likely than women to deceive to bolster their status and influence. Also gender perception influences deceptive behavior, which is linked to pervasive gender stereotypes: women are typically viewed as weaker and more gullible than men. We assessed bluffing in an online experiment (N = 502), where participants made decisions to bluff or not in simulated poker tasks against opponents represented by avatars. Participants bluffed on average 6% more frequently at poker tables with female-only avatars than at tables with male-only or gender mixed avatars—a highly significant effect in games involving repeated decisions. Nonetheless, participants did not believe the avatar genders affected their decisions. Males bluffed 13% more frequently than females. Unlike most economic games employed exclusively in research contexts, online poker is played for money by tens of millions of people worldwide. Thus, gender effects in bluffing have significant monetary consequences for poker players.

Suggested Citation

  • Jussi Palomäki & Jeff Yan & David Modic & Michael Laakasuo, 2016. ""To Bluff like a Man or Fold like a Girl?" – Gender Biased Deceptive Behavior in Online Poker," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-13, July.
  • Handle: RePEc:plo:pone00:0157838
    DOI: 10.1371/journal.pone.0157838
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0157838
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0157838&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0157838?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. Luuk Van Kempen, 2003. "Fooling the eye of the beholder: deceptive status signalling among the poor in developing countries," Journal of International Development, John Wiley & Sons, Ltd., vol. 15(2), pages 157-177.
    2. Monica T. Whitty & Tom Buchanan & Adam N. Joinson & Alex Meredith, 2012. "Not all lies are spontaneous: An examination of deception across different modes of communication," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(1), pages 208-216, January.
    3. Solnick, Sara J. & Schweitzer, Maurice E., 1999. "The Influence of Physical Attractiveness and Gender on Ultimatum Game Decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(3), pages 199-215, September.
    4. Kray, Laura J. & Kennedy, Jessica A. & Van Zant, Alex B., 2014. "Not competent enough to know the difference? Gender stereotypes about women’s ease of being misled predict negotiator deception," Organizational Behavior and Human Decision Processes, Elsevier, vol. 125(2), pages 61-72.
    5. Ayres, Ian & Siegelman, Peter, 1995. "Race and Gender Discrimination in Bargaining for a New Car," American Economic Review, American Economic Association, vol. 85(3), pages 304-321, June.
    6. Nabanita Datta Gupta & Anders Poulsen & Marie Claire Villeval, 2013. "Gender Matching And Competitiveness: Experimental Evidence," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 816-835, January.
    7. Solnick, Sara J, 2001. "Gender Differences in the Ultimatum Game," Economic Inquiry, Western Economic Association International, vol. 39(2), pages 189-200, April.
    8. Scharlemann, Jorn P. W. & Eckel, Catherine C. & Kacelnik, Alex & Wilson, Rick K., 2001. "The value of a smile: Game theory with a human face," Journal of Economic Psychology, Elsevier, vol. 22(5), pages 617-640, October.
    9. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    10. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    11. Dreber, Anna & Johannesson, Magnus, 2008. "Gender differences in deception," Economics Letters, Elsevier, vol. 99(1), pages 197-199, April.
    12. Holm, Hakan J., 2000. "Gender-Based Focal Points," Games and Economic Behavior, Elsevier, vol. 32(2), pages 292-314, August.
    13. B. Lillian Abarbanel & Bo J. Bernhard, 2012. "Chicks with decks: the female lived experience in poker," International Gambling Studies, Taylor & Francis Journals, vol. 12(3), pages 367-385, March.
    14. Eckel, Catherine C & Grossman, Philip J, 2001. "Chivalry and Solidarity in Ultimatum Games," Economic Inquiry, Western Economic Association International, vol. 39(2), pages 171-188, April.
    15. Jussi Palomäki & Michael Laakasuo & Mikko Salmela, 2013. "'This is just so unfair!': A qualitative analysis of loss-induced emotions and tilting in on-line poker," International Gambling Studies, Taylor & Francis Journals, vol. 13(2), pages 255-270, August.
    16. Slonim, Robert & Guillen, Pablo, 2010. "Gender selection discrimination: Evidence from a Trust game," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 385-405, November.
    17. Monica T. Whitty & Tom Buchanan & Adam N. Joinson & Alex Meredith, 2012. "Not all lies are spontaneous: An examination of deception across different modes of communication," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(1), pages 208-216, January.
    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. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    2. Marcus Dittrich & Andreas Knabe & Kristina Leipold, 2014. "Gender Differences In Experimental Wage Negotiations," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 862-873, April.
    3. Geraldine Guarin & J. Jobu Babin, 2021. "Collaboration and Gender Focality in Stag Hunt Bargaining," Games, MDPI, vol. 12(2), pages 1-7, May.
    4. Adriani, Fabrizio & Pompeo, Monika & Sonderegger, Silvia, 2022. "Gender effects in the battle of the sexes: A tale of two countries," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 165-178.
    5. Marie-Claire Villeval & Nabanita Datta Gupta & Anders Poulsen, 2005. "Male and Female Competitive Behavior - Experimental Evidence," Working Papers 0512, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    6. Castillo, Marco & Petrie, Ragan & Torero, Maximo & Vesterlund, Lise, 2013. "Gender differences in bargaining outcomes: A field experiment on discrimination," Journal of Public Economics, Elsevier, vol. 99(C), pages 35-48.
    7. Shuwen Li & Xiangdong Qin & Daniel Houser, 2018. "Revisiting gender differences in ultimatum bargaining: experimental evidence from the US and China," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 4(2), pages 180-190, December.
    8. Bonein, Aurélie & Serra, Daniel, 2009. "Gender pairing bias in trustworthiness," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(5), pages 779-789, October.
    9. D’Exelle, Ben & Gutekunst, Christine & Riedl, Arno, 2023. "The effect of gender and gender pairing on bargaining: Evidence from an artefactual field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 237-269.
    10. Arbel, Yuval & Bar-El, Ronen & Siniver, Erez & Tobol, Yossef, 2014. "Roll a die and tell a lie – What affects honesty?," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 153-172.
    11. Arbel, Yuval & Bar-El, Ronen & Siniver, Erez & Tobol, Yossef, 2014. "The Effect of Behavioral Codes and Gender on Honesty," IZA Discussion Papers 7946, Institute of Labor Economics (IZA).
    12. Huang, Jennie & Low, Corinne, 2022. "The myth of the male negotiator: Gender’s effect on negotiation strategies and outcomes," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 517-532.
    13. Nabanita Datta Gupta & Anders Poulsen & Marie Claire Villeval, 2005. "Male and Female Competitive Behavior: Experimental," Post-Print halshs-00175039, HAL.
    14. David Masclet & Emmanuel Peterle & Sophie Larribeau, 2012. "Gender Differences in Competitive and Non Competitive Environments: An Experimental Evidence," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201236, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    15. Nabanita Datta Gupta & Anders Poulsen & Marie Claire Villeval, 2013. "Gender Matching And Competitiveness: Experimental Evidence," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 816-835, January.
    16. Aurélie Bonein & Daniel Serra, 2006. "L'influence de la connaissance du genre du partenaire dans les relations de confiance et de réciprocité: une étude expérimentale," Working Papers 06-02, LAMETA, Universtiy of Montpellier, revised Jan 2006.
    17. Schwieren, Christiane & Sutter, Matthias, 2008. "Trust in cooperation or ability? An experimental study on gender differences," Economics Letters, Elsevier, vol. 99(3), pages 494-497, June.
    18. Beugnot, Julie & Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2019. "Gender and peer effects on performance in social networks," European Economic Review, Elsevier, vol. 113(C), pages 207-224.
    19. SeEun Jung & Radu Vranceanu, 2017. "Gender Interaction in Teams: Experimental Evidence on Performance and Punishment Behavior," Korean Economic Review, Korean Economic Association, vol. 33, pages 95-126.
    20. Boschini, Anne & Muren, Astri & Persson, Mats, 2011. "Men among men do not take norm enforcement seriously," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 523-529.

    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:pone00:0157838. 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.