Endogenous Data Collection in Platform Markets: Privacy and Welfare

Gaurav Jakhu, Prabal Roy Chowdhury
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Abstract

Increasingly dominant online platforms are collecting and sharing user data across multiple markets, raising red flags as regards privacy, as well as potential anti-competitive abuses. We analyse competition among two platforms that compete in prices and advertising quantities, with one platform collecting data in a related market where it is dominant. We find that data collection is socially excessive whenever market competition is at an intermediate level, whereas weak competition leads to too little data collection. We then use this framework to examine a possible regulatory approach to privacy protection, i.e. empowering users to control the amount of data that can be collected from them. Surprisingly, we find that in markets where advertising is effectively targetted, but competition is weak, user control of data can increase data collection, thus degrading privacy. In all other markets however privacy improves. We also analyse the welfare implications of such a policy.
平台市场的内生数据收集:隐私与福利
越来越占主导地位的在线平台正在收集和共享多个市场的用户数据,这在隐私和潜在的反竞争滥用方面发出了危险信号。我们分析了两个在价格和广告数量上竞争的平台之间的竞争,其中一个平台在其占主导地位的相关市场收集数据。我们发现,当市场竞争处于中等水平时,数据收集是社会过度的,而弱竞争导致数据收集过少。然后,我们使用这个框架来研究一种可能的隐私保护监管方法,即授权用户控制可以从他们那里收集的数据量。令人惊讶的是,我们发现在广告有效定向,但竞争较弱的市场中,用户对数据的控制可以增加数据收集,从而降低隐私。然而,在所有其他市场,隐私状况都有所改善。我们还分析了这种政策对福利的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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