Dynamic valuation bias explains social influence on cheating behavior

Julien Benistant (), Valentin Guigon, Alain Nicolas, Edmund Derrington and Jean-Claude Dreher ()
Additional contact information
Julien Benistant: 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
Valentin Guigon: UCBL - Université Claude Bernard Lyon 1 - Université de Lyon
Alain Nicolas: Pôle MOPHA - SUAL - Service Universitaire d’Addictologie de Lyon [CH Le Vinatier, Bron] - Centre Hospitalier le Vinatier [Bron]
Edmund Derrington: UCBL - Université Claude Bernard Lyon 1 - Université de Lyon
Jean-Claude Dreher: UCBL - Université Claude Bernard Lyon 1 - Université de Lyon

Working Papers from HAL

Abstract: Observing immoral behavior increases one's dishonesty by social influence and learning processes. The neurocomputational mechanisms underlying such moral contagion remain unclear. We tested different mechanistic hypotheses to account for moral contagion. We used model-based fMRI and a new cheating game in which participants were sequentially placed in honest and dishonest social norm contexts. Participants' cheating behavior increased in the dishonest norm context but was unchanged in the honest. The best model to account for behavior indicated that participants' valuation was dynamically biased by learning that others had cheated. At the time of choice, the internalization of social norms was implemented in the lateral prefrontal cortex and biased valuations of cheating. During learning, simulation of others' cheating behavior was encoded in the posterior superior temporal sulcus. Together, these findings provide a mechanistic understanding of how learning about others' dishonesty biases individuals' valuation of cheating but does not alter one's established preferences. Significance statement Social influence is at the root of human behavior. For example, we tend to follow others' bad moral behavior such as cheating. Here, we explore the neuro-computational mechanisms of social influence on cheating behavior. We validated a new model capturing both how we learn about others' (dis)honesty and how this bias our choice. We show that if we observe dishonest others we tend to be more dishonest ourselves. This behavioral change is driven by a bias dynamically changing with our knowledge about the others' cheating behavior. Neurally, we found that the lateral prefrontal cortex implements this bias into the decision process while the posterior superior temporal sulcus and the temporo-parietal junction encode our learned representation of others' cheating.

Date: 2024-12-16
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-04840840

DOI: 10.1101/2024.05.21.594859

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