The conflict between pro-self and pro-social behaviour is at the core of many key problems of our time, as, for example, the reduction of air pollution and the redistribution of scarce resources. For the well-being of our societies, it is thus crucial to find mechanisms to promote pro-social...

Using a series of sender-receiver games, we find that two senders acting together are willing to behave more antisocially towards the receiver than single senders. This result is robust in two contexts: when antisocial messages are dishonest and when they are honest but unfavorable. Our results...

With Big Data, decisions made by machine learning algorithms depend on training data generated by many individuals. In an experiment, we identify the effect of varying individual responsibility for the moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the...

With Big Data, decisions made by machine learning algorithms depend on training data generated by many individuals. In an experiment, we identify the effect of varying individual responsibility for moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the...

With Big Data, decisions made by machine learning algorithms depend on training data generated by many individuals. In an experiment, we identify the effect of varying individual responsibility for moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the...

Narratives pervade almost any aspect of our life and play a particularly important role in moral and prosocial decision-making. We study how positive (stories in favor of a prosocial action) and negative (stories in favor of a selfish action) narratives influence prosocial behavior. Our main...

With Big Data, decisions made by machine learning algorithms depend on training data generated by many individuals. In an experiment, we identify the effect of varying individual responsibility for the moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the...

This paper studies unethical behavior by groups and provides systematic evidence on how lying decisions are affected by group size and group gender composition. We conduct an online experiment with 1,677 participants (477 groups) where group members can communicate with each other via a novel...