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Learning to be selfish? A large-scale longitudinal analysis of Dictator games played on Amazon Mechanical Turk
| Content Provider | Scilit |
|---|---|
| Author | Arechar, Antonio Alonso Rand, David Gertler |
| Copyright Year | 2019 |
| Description | We investigate the role of experience playing the Dictator Game (DG) on allocations by aggregating data from 37 studies conducted on Amazon Mechanical Turk over a 7-year period. While prior evidence has shown a correlation between experience on Amazon Mechanical Turk and selfishness, it is unclear to what extent this is the result of selection versus learning. Examining a total of 27,266 decisions made by 17,791 unique individuals, our data shows evidence of significant negative effects of both selection and learning. First, people who participated in a greater total number of our studies were more selfish, even in their first game – indicating that people who are more likely to participate in our studies are more selfish. Second, a given individual tends to transfer less money over successive studies – indicating that experience with the DG leads to greater selfishness. These results provide clear evidence of learning even in this non-strategic social setting. |
| DOI | 10.31234/osf.io/87e4y |
| Language | English |
| Publisher | Center for Open Science |
| Publisher Date | 2019-06-13 |
| Access Restriction | Open |
| Subject Keyword | Experimental Psychology Amazon Mechanical Turk |
| Content Type | Text |
| Resource Type | Article |
