Dynamic valuation bias explains social influence on cheating behavior

Abstract

Observing immoral behavior increases ones 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 ones established preferences. Significance statementSocial 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.