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Promises and lies: can observers detect deception in written messages

Author

Listed:
  • Jingnan Chen

    (University of Exeter)

  • Daniel Houser

    (George Mason University)

Abstract

We design a laboratory experiment to examine predictions of trustworthiness in a novel three-person trust game. We investigate whether and why observers of the game can predict the trustworthiness of hand-written communications. Observers report their perception of the trustworthiness of messages, and make predictions about the senders’ behavior. Using observers’ decisions, we are able to classify messages as “promises” or “empty talk.” Drawing from substantial previous research, we hypothesize that certain factors influence whether a sender is likely to honor a message and/or whether an observer perceives the message as likely to behonored: the mention of money; the use of encompassing words; and message length. We find that observers have more trust in longer messages and “promises”; promises that mention money are significantly more likely to be broken; and observers trust equally in promises that do and do not mention money. Overall, observers perform slightly better than chance at predicting whether a message will be honored. We attribute this result to observers’ ability to distinguish promises from empty talk, and to trust promises more than empty talk. However, within each of these two categories, observers are unable to discern between messages that senders will honor from those that they will not.

Suggested Citation

  • Jingnan Chen & Daniel Houser, 2017. "Promises and lies: can observers detect deception in written messages," Experimental Economics, Springer;Economic Science Association, vol. 20(2), pages 396-419, June.
  • Handle: RePEc:kap:expeco:v:20:y:2017:i:2:d:10.1007_s10683-016-9488-x
    DOI: 10.1007/s10683-016-9488-x
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    3. Chen, Jingnan & Houser, Daniel, 2019. "Broken promises and hidden partnerships: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 754-774.
    4. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2020. "Nonverbal content and swift trust: An experiment on digital communication," Working Papers halshs-02483343, HAL.
    5. 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.
    6. Ivan Balbuzanov, 2019. "Lies and consequences," International Journal of Game Theory, Springer;Game Theory Society, vol. 48(4), pages 1203-1240, December.
    7. Gawn, Glynis & Innes, Robert, 2018. "Language and lies," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 74(C), pages 167-176.
    8. Fischbacher, Urs & Hausfeld, Jan & Renerte, Baiba, 2022. "Strategic incentives undermine gaze as a signal of prosocial motives," Games and Economic Behavior, Elsevier, vol. 136(C), pages 63-91.
    9. Simin He & Theo Offerman & Jeroen van de Ven, 2017. "The Sources of the Communication Gap," Management Science, INFORMS, vol. 63(9), pages 2832-2846, September.
    10. Konstantinos Georgalos & John Hey, 2020. "Testing for the emergence of spontaneous order," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 912-932, September.
    11. Lohse, Tim & Qari, Salmai, 2021. "Gender differences in face-to-face deceptive behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 1-15.
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    13. Elias L Khalil & Nick Feltovich, 2018. "Moral licensing, instrumental apology and insincerity aversion: Taking Immanuel Kant to the lab," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-24, November.
    14. Dwenger, Nadja & Lohse, Tim, 2019. "Do individuals successfully cover up their lies? Evidence from a compliance experiment," Journal of Economic Psychology, Elsevier, vol. 71(C), pages 74-87.

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    More about this item

    Keywords

    Cheap talk; Deception detection; Trust; Trustworthiness;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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