Description
The emergence of big data and artificial intelligence technologies makes it easier to collect, store and analyze personal data. Utilizing the advancement of technology, states have begun to introduce social scores to rate and publicize some behaviors in social interactions. With social scores, social interactions are thus divided into a public sphere, which is publicly observable, and a private sphere, which is not. Guided by Tirole’s (2020) model, we experimentally investigate whether social scores promote cooperation in a population with repeated, randomly-matched, pair-wise interactions. We find that in the presence of social scores, the subjects contribute more in the public sphere but less in the private sphere. Overall, social scores do not necessarily promote contribution. We also find that with an expansion of the public sphere, the subjects reduced contribution intensity in both public and private spheres, after we control for reciprocity. Nevertheless, reciprocity induces positive feedback under a large public sphere, and consequently, an expansion in the public sphere led to more contributions.| Period | 29 Apr 2021 |
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| Event title | ECON Brownbag Seminars |
| Event type | Seminar |
| Organiser | Department of Economics |
| Location | Hong Kong, Hong KongShow on map |