APP用户数据交易与隐私保护问题研究——对比讨价还价与甄别定价两种交易模式

APP User Data Transaction and Privacy Protection——A Study on the Trading Mode Based on Bargaining and Discrimination Pricing

当前法律对于数据产权界定不明,导致APP用户不能分享个人数据交易带来的收益却要承受隐私泄漏产生的成本。对比讨价还价与甄别定价两种交易模式,研究APP企业与第三方企业之间关于APP用户数据的交易过程与用户隐私保护问题。结果表明:APP用户的数量、APP运营的时间、APP用户数据对APP企业与第三方企业的相对价值对数据交易精确度有着重要影响;信息激励产生的租金导致甄别定价模式下的数据交易精确度要低于讨价还价模式,且两种交易模式由于将APP用户排除在外,数据使用对APP用户产生的负外部性没有得到补偿,导致过于隐私的用户数据被交易。据此,应监控与规范APP企业的数据交易行为、征收数据交易税、明确数据所有权,以提高APP用户数据资源配置效率并保护用户隐私。

Due to the unclear definition of data property rights in the current law,APP users cannot share the benefits of personal data transactions from data transactions,but they have to bear the cost of privacy leakage,resulting in the transaction of overly private user data.This paper studys the trading process of the APP user data between APP enterprises and the third party and user privacy protection problem by investigating the bargaining pricing and identify two trading patterns.It is found that the number of users,the APP APP operating time,APP user data on the relative value of the enterprise with the third party APP has important implications for trade data accuracy;As a result of the rent generated by information incentive,the accuracy of data transaction in the discriminating pricing mode is lower than that in the bargaining mode.In addition,the two transaction modes exclude APP users,and the negative externalities caused by data usage on APP users are not compensated,which leads to the transaction of overly private user data.Accordingly,APP enterprises data trading behaviors should be monitored and standardized,data trading tax should be levied,and data ownership should be clarified,so as to improve the allocation efficiency of APP users data resources and protect users privacy.