摘要
大数据时代,互联网企业可以通过掌握的海量信息对每个用户进行'画像',从而进行'千人千面'的精准营销,这为互联网企业实现传统商业模式中无法完成的'一级价格歧视'提供了可能,近期广泛讨论的大数据'杀熟'现象就属于价格歧视的典型表现之一。价格歧视本身并不违法,但若该行为损害竞争或侵害了消费者的合法权益,就应当受到法律规制。互联网企业利用大数据进行价格歧视,本质上是用户个人信息安全和隐私保护的问题,因此除了《反垄断法》《价格法》和《消费者权益保护法》之外,及时构建我国信息安全保护的法律规范体系,是规制互联网企业不正当价格行为的有效途径之一。
In the era of big data,internet companies can conduct'portraits'for each user through the vast amount of information they have mastered,and then conducting precise and differentiated marketing based on the various characteristics of consumers,which may cause the'first-class price discrimination'that internet companies cannot achieve in the traditional business model.The phenomenon of'overcharging frequent customers'through big data that has been widely discussed recently is one of the typical manifestations of price discrimination.Price discrimination is not illegal in itself,but if it violates competition or violates the legitimate rights and interests of consumers,it should be regulated by law.Internet companies use big data for price discrimination,which is essentially a matter of user’s personal information security and privacy protection.Therefore,in addition to the'Anti-Monopoly Law','Price Law'and'Consumer Rights Protection Law',timely constructing the legal norm system of China’s information security protection is one of the effective ways to regulate the unfair price behavior of internet companies.
出处
《网络信息法学研究》
2019年第1期286-308,340-341,共24页
Journal of Cyber and Information Law
关键词
大数据“杀熟”
价格歧视
反不正当竞争
个人信息安全保护
Overcharging frequent customers through big data
Price discrimination
Anti-unfair competition
Protection and Security of Personal information