AI Article Synopsis
- Altruistic behaviors are influenced by multiple, interdependent motives rather than just one or two, making it difficult to predict actions in different contexts.
- Researchers conducted experiments with a combined total of over 1,400 participants, identifying seven socioeconomic motives that drive both third-party punishment and helping behaviors in various situations.
- The "motive cocktail" model explains variations in how willing different types of individuals (victims vs. bystanders) are to intervene, particularly highlighting differences in how they respond to inequality in these situations.
Article Abstract
Prosocial motives such as social equality and efficiency are key to altruistic behaviors. However, predicting the range of altruistic behaviors in varying contexts and individuals proves challenging if we limit ourselves to one or two motives. Here we demonstrate the numerous, interdependent motives in altruistic behaviors and the possibility to disentangle them through behavioral experimental data and computational modeling. In one laboratory experiment (N = 157) and one preregistered online replication (N = 1,258), across 100 different situations, we found that both third-party punishment and third-party helping behaviors (that is, an unaffected individual punishes the transgressor or helps the victim) aligned best with a model of seven socioeconomic motives, referred to as a motive cocktail. For instance, the inequality discounting motives imply that individuals, when confronted with costly interventions, behave as if the inequality between others barely exists. The motive cocktail model also provides a unified explanation for the differences in intervention willingness between second parties (victims) and third parties, and between punishment and helping.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11422170 | PMC |
| http://dx.doi.org/10.1038/s43588-024-00685-6 | DOI Listing |
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