过去的隐私选择如何塑造未来？
发布时间：2026-04-27
4月
29
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时间和日期
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2026-04-29 (星期三) 15:30 下午
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17:00 下午
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| 标题 | 过去的隐私选择如何塑造未来？ |
| 日期和时间 |
2026年4月29日（周三） 15: 30-17:00 |
| 地点 | 综合教学楼D504会议室 |
| 主讲人 |
Verina Que 南洋理工大学 |
| 摘要 | Consumers face frequent and consecutive digital privacy choices, but each choice is not necessarily independent. This paper demonstrates that past privacy choices affect consumers’ current privacy choices. Such state-dependent choices suggest that privacy choices can have externalities within a platform in which one app's data requests can affect the ability of other apps to collect data. Specifically, I use an individual-level consumer panel to investigate data consent decisions by consumers on a major digital platform connecting users and third-party apps. Leveraging a natural experiment that encourages users to accept data requests, I find that the probability of rejecting the next request declines 15%. This effect decays over time; it is larger when preferences for the app at that moment are relatively weak, categorized by large language models (LLMs); and for users with weaker privacy preferences, including younger, less educated, and shorter-tenure platform users. The effect does not differ by whether the specific data requested in consecutive data consent decisions is the same. Overall, these results suggest that the externalities arising from state-dependent data consent choices are temporary and operate at the margin. Nevertheless, this temporary effect incentivizes platforms to encourage apps to provide consumer-friendly data request designs. |
| 主讲人简介 | Verina Que 是新加坡南洋理工大学南洋商学院的一名助理教授。她的研究主要聚焦于数字隐私经济学，具体关注消费者如何进行隐私决策，以及这些决策如何影响在日益以人工智能和数据为驱动的经济环境下企业的战略选择。企业在数据获取与隐私保护之间面临根本性的权衡。她近期的研究通过构建一个分析数据流动成本与收益的经济学框架来回应这一问题，并揭示了消费者隐私选择中的外部性特征。其研究结果为企业如何应对数据战略权衡提供了指导，同时也为监管机构提供了政策启示。她在研究中运用了因果推断、实地实验、结构建模以及大语言模型（LLMs）等方法。 |
