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Malleable Lies: Communication and Cooperation in a High Stakes TV Game Show

Author

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  • Uyanga Turmunkh

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Martijn van den Assem
  • Dennie van Dolder

    (UON - University of Nottingham, UK)

Abstract

We investigate the credibility of nonbinding preplay statements about cooperative behavior, using data from a high-stakes TV game show in which contestants play a variant on the classic Prisoner's Dilemma. We depart from the conventional binary approach of classifying statements as promises or not, and propose a more fine-grained two-by-two typology inspired by the idea that lying aversion leads defectors to prefer statements that are malleable to ex-post interpretation as truths. Our empirical analysis shows that statements that carry an element of conditionality or implicitness are associated with a lower likelihood of cooperation, and confirms that malleability is a good criterion for judging the credibility of cheap talk.

Suggested Citation

  • Uyanga Turmunkh & Martijn van den Assem & Dennie van Dolder, 2019. "Malleable Lies: Communication and Cooperation in a High Stakes TV Game Show," Post-Print hal-02110662, HAL.
    • Handle: RePEc:hal:journl:hal-02110662
    DOI: 10.1287/mnsc.2018.3159
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    3. Chloe Tergiman & Marie Claire Villeval, 2019. "The Way People Lie in Markets," Working Papers halshs-02292040, HAL.
    4. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2021. "Nonverbal content and trust: An experiment on digital communication," Economic Inquiry, Western Economic Association International, vol. 59(4), pages 1517-1532, October.
    5. Jetter, Michael, 2024. "On the Post-Enlightenment Evolution of Moral Universalism," IZA Discussion Papers 16947, Institute of Labor Economics (IZA).
    6. Alicia von Schenk & Victor Klockmann & Jean-François Bonnefon & Iyad Rahwan & Nils Köbis, 2023. "Lie-detection algorithms attract few users but vastly increase accusation rates," Working Papers hal-04191443, HAL.
    7. Barber, Luke & Jetter, Michael & Krieger, Tim, 2023. "Foreshadowing Mars: Religiosity and Pre-enlightenment Warfare," IZA Discussion Papers 16586, Institute of Labor Economics (IZA).
    8. Buser, Thomas & van den Assem, Martijn J. & van Dolder, Dennie, 2023. "Gender and willingness to compete for high stakes," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 350-370.
    9. Brams, Steven J. & Mor, Ben D., 2019. "How Lies Induced Cooperation in "Golden Balls:" A Game-Theoretic Analysis," MPRA Paper 97604, University Library of Munich, Germany.
    10. Cristina Bicchieri & Eugen Dimant, 2018. "It's Not A Lie If You Believe It. Lying and Belief Distortion Under Norm-Uncertainty," PPE Working Papers 0012, Philosophy, Politics and Economics, University of Pennsylvania.
    11. Keh-Kuan Sun & Stella Papadokonstantaki, 2023. "Lying Aversion and Vague Communication: An Experimental Study," Papers 2301.00372, arXiv.org, revised Sep 2023.
    12. Despoina Alempaki & Valeria Burdea & Daniel Read, 2021. "Deceptive Communication: Direct Lies vs. Ignorance, Partial-Truth and Silence," CESifo Working Paper Series 9286, CESifo.
    13. Sun, Keh-Kuan & Papadokonstantaki, Stella, 2023. "Lying aversion and vague communication: An experimental study," European Economic Review, Elsevier, vol. 160(C).
    14. Mujcic, Redzo & Powdthavee, Nattavudh, 2022. "How Do Humans Respond to Huge Financial Losses?," IZA Discussion Papers 15536, Institute of Labor Economics (IZA).
    15. Alicia von Schenk & Victor Klockmann & Jean-Franc{c}ois Bonnefon & Iyad Rahwan & Nils Kobis, 2022. "Lie detection algorithms attract few users but vastly increase accusation rates," Papers 2212.04277, arXiv.org.
    16. Martin Brown & Jan Schmitz & Christian Zehnder, 2018. "Communication, Credit Provision and Loan Repayment: Evidence from a Person-to-Person Lending Experiment," Working Papers on Finance 1819, University of St. Gallen, School of Finance, revised Aug 2020.
    17. Francesco Bogliacino & Paolo Buonanno & Francesco Fallucchi & Marcello Puca, 2023. "Trust in times of AI," CSEF Working Papers 689, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.

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