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      Signaling when no one is watching: A reputation heuristics account of outrage and punishment in one-shot anonymous interactions

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      Center for Open Science

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          Abstract

          Moralistic punishment can confer reputation benefits by signaling trustworthiness to observers. But why do people punish even when nobody is watching? We argue that people often rely on the heuristic that reputation is typically at stake, such that reputation concerns can shape moral outrage and punishment even in one-shot anonymous interactions. We then support this account using data from Amazon Mechanical Turk. In anonymous experiments, subjects (total n = 8440) report more outrage in response to others’ selfishness when they cannot signal their trustworthiness through direct prosociality (sharing with a third party)—such that if the interaction were not anonymous, punishment would have greater signaling value. Furthermore, mediation analyses suggest that sharing opportunities reduce outrage by decreasing reputation concerns. Additionally, anonymous experiments measuring costly punishment (total n = 6076) show the same pattern: subjects punish more when sharing is not possible. And importantly, moderation analyses provide some evidence that sharing opportunities do not merely reduce outrage and punishment by inducing empathy towards selfishness or hypocrisy aversion among non-sharers. Finally, we support the specific role of heuristics by investigating individual differences in deliberateness. Less deliberative individuals (who typically rely more on heuristics) are more sensitive to sharing opportunities in our anonymous punishment experiments, but, critically, not in punishment experiments where reputation is at stake (total n = 3422); and not in our anonymous outrage experiments (where condemning is costless). Together, our results suggest that when nobody is watching, reputation cues nonetheless can shape outrage and—among individuals who rely on heuristics—costly punishment.

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          Author and article information

          Journal
          Center for Open Science
          March 20 2019
          Article
          10.31234/osf.io/qf7e3
          2c4f06e7-4756-4077-ba19-babfc3128b18
          © 2019
          History

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