宋佳宁, 王钰坤. “大数据杀熟”行为法律规制问题探究——以胡红芳诉携程案为例[J]. 《信阳师范学院学报(哲学社会科学版)》, 2023, 43(4): 42-49. DOI: 10.3969/j.issn.1003-0964.2023.04.007
引用本文: 宋佳宁, 王钰坤. “大数据杀熟”行为法律规制问题探究——以胡红芳诉携程案为例[J]. 《信阳师范学院学报(哲学社会科学版)》, 2023, 43(4): 42-49. DOI: 10.3969/j.issn.1003-0964.2023.04.007
SONG Jianing, WANG Yukun. An Exploration of the Legal Regulation of “Big Data Killing” Behavior——in the Case of HU Hongfangvs. Ctrip[J]. The journal of xinyang normal university (philosophy and social science edition), 2023, 43(4): 42-49. DOI: 10.3969/j.issn.1003-0964.2023.04.007
Citation: SONG Jianing, WANG Yukun. An Exploration of the Legal Regulation of “Big Data Killing” Behavior——in the Case of HU Hongfangvs. Ctrip[J]. The journal of xinyang normal university (philosophy and social science edition), 2023, 43(4): 42-49. DOI: 10.3969/j.issn.1003-0964.2023.04.007

“大数据杀熟”行为法律规制问题探究——以胡红芳诉携程案为例

An Exploration of the Legal Regulation of “Big Data Killing” Behavior——in the Case of HU Hongfangvs. Ctrip

  • 摘要: “大数据杀熟”行为的本质是电商经营者运用数据信息分析技术进行“一级价格歧视”,以掠夺全部消费者剩余的行为,其严重侵犯了消费者的知情权和公平交易权。《个人信息保护法》《消费者权益保护法》《价格法》等现行法对于“大数据杀熟”行为均有规制,但在法条中存在对“大数据杀熟”行为定性不明、不同法律规范间相互冲突、消费者举证责任难度大以及经营者赔偿力度小等问题,导致该行为在实践中难以得到有效遏制。针对上述法律条文中有关“大数据杀熟”行为具体规定的不足,应该分别从信息收集、用户画像、区别定价三个阶段进行完善。

     

    Abstract: The essence of the “big data killing” behavior is that the e-commerce operators use data information analysis technology to carry out the “first-level price discrimination” to plunder all consumers' surplus, which seriously violates consumers' right to know and fair trade. Existing laws such as The Personal Information Protection Act, The Consumer Rights and Interests Protection Law and The Price Law all regulate the behavior of “big data killing”, but there are problems in the law such as unclear characterization of “big data killing”, conflicts between different legal norms, difficulty in the burden of proof for consumers, and small compensation for operators, which makes it difficult to effectively curb this behavior in practice. By analyzing the specific provisions of the “big data killing” behavior in the above legal provisions, in view of the above deficiencies, this paper puts forward suggestions to improve the three stages of information collection, user portrait and differential pricing.

     

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