In this paper, we study the optimal design of incentives to induce a digital platform to limit the extraction of data from users, whose privacy loss is further aggravated by their naive use of the platform. We show that caps on the amount of data collected can induce the optimal data-saving effort by the platform. If the platform's effort is not observable, a menu of data caps should be provided and it entails a higher (lower) loss of privacy for less (more) naive users, relative to the first best. We also show that compensating users for their data can efficiently incentivize effort, but might increase the privacy loss of more naive users.

Carpe Data: Protecting online privacy with naive users / Abrardi, L; Cambini, C. - In: INFORMATION ECONOMICS AND POLICY. - ISSN 0167-6245. - ELETTRONICO. - 60:(2022), p. 100988. [10.1016/j.infoecopol.2022.100988]

Carpe Data: Protecting online privacy with naive users

Abrardi, L;Cambini, C
2022

Abstract

In this paper, we study the optimal design of incentives to induce a digital platform to limit the extraction of data from users, whose privacy loss is further aggravated by their naive use of the platform. We show that caps on the amount of data collected can induce the optimal data-saving effort by the platform. If the platform's effort is not observable, a menu of data caps should be provided and it entails a higher (lower) loss of privacy for less (more) naive users, relative to the first best. We also show that compensating users for their data can efficiently incentivize effort, but might increase the privacy loss of more naive users.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2971521