An Economic Analysis of Peer-Disclosure in Online Social Communities
We study a novel privacy concern, viz. peer disclosure of sensitive personal information in online social communities. We model peer disclosure as imposing a negative externality on other people. Our model encompasses the benefits from posting information, positive externalities such as recognition and entertainment benefits due to others' sharing of information, and heterogeneous privacy preferences. We find that regulation of peer disclosure is necessary. We consider two candidate regulations -- nudging and quota. Nudging reduces user participation and privacy harm and sometimes improve social welfare. By contrast, imposing a quota often improves user participation, privacy protection and social welfare. Adding a nudge on top of a quota does not bring additional benefits. We show that any regulation that uniformly controls the disclosure of sensitive and nonsensitive information will not serve the triple objectives of reducing privacy harm, increasing social welfare, and increasing information contribution. We derive a necessary condition for solutions that can fulfill these three objectives. We also compare the incentives of the platform owner and social planner and draw related managerial and policy implications.
|Keywords||peer disclosure, privacy, regulation, online social communities, nudging, quota|
|Journal||Information Systems Research|
Cao, Z, Hui, K.L, & Xu, H. (2017). An Economic Analysis of Peer-Disclosure in Online Social Communities. Information Systems Research, (Forthcoming). Retrieved from http://hdl.handle.net/1765/100771