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

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  • 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
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    References listed on IDEAS

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    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.
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