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A newly detected bias in self-evaluation

Author

Listed:
  • Guillaume Deffuant
  • Thibaut Roubin
  • Armelle Nugier
  • Serge Guimond

Abstract

The widely observed positive bias on self-evaluation is mainly explained by the self-enhancement motivation which minimizes negative feedbacks and emphasizes positive ones. Recent agent based simulations suggest that a positive bias also emerges if the sensitivity to feedbacks decreases when the self-evaluation increases. This paper proposes a simple mathematical model in which these different biases are integrated. Moreover, it describes an experiment (N = 1509) confirming that the sensitivity to feedbacks tends to decrease when self-evaluation increases and that a directly related positive bias is detected.

Suggested Citation

  • Guillaume Deffuant & Thibaut Roubin & Armelle Nugier & Serge Guimond, 2024. "A newly detected bias in self-evaluation," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-28, February.
    • Handle: RePEc:plo:pone00:0296383
    DOI: 10.1371/journal.pone.0296383
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    References listed on IDEAS

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    3. Guillaume Deffuant & Ilaria Bertazzi & Sylvie Huet, 2018. "The Dark Side Of Gossips: Hints From A Simple Opinion Dynamics Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-20, September.
    4. Guillaume Deffuant & Timoteo Carletti & Sylvie Huet, 2013. "The Leviathan Model: Absolute Dominance, Generalised Distrust, Small Worlds and Other Patterns Emerging from Combining Vanity with Opinion Propagation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(1), pages 1-5.
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