大数据“杀熟”行为分析——基于技术–社会的双重视角

Analysis of Big Data-Driven “Price Discrimination”: Based on a Dual Techno-Social Perspective

大数据为人们的日常生活带来了极大方便,提升了社会的运行效率,方便了日常生活,与此同时,“杀熟”也应运而生。大数据“杀熟”不仅侵犯了消费者的合法权益,更扰乱了市场的正常运行,消耗了消费者对市场的信任。基于此,本文从技术和社会两个视角分析大数据“杀熟”带来的影响,剖析大数据“杀熟”的成因以及实现路径,根据大数据“杀熟”话题下用户的评论提及方面:平台、监管部门以及立法角度,提出相关对策建议,维护市场健康良好运行。

Big data has brought great convenience to people’s daily life, enhanced the operational efficiency of society and facilitated daily life, but at the same time, it has also created the problem of “killing familiarity”. Big data “kill maturity” not only violates the legitimate rights and interests of consumers, but also disrupts the normal operation of the market and depletes consumers’ trust in the market. Based on this, this article analyzes the impacts of big data-driven “price discrimination” from both technical and societal perspectives, dissecting the causes and implementation pathways of such practices. Drawing from user comments on the topic of big data-driven “price discrimination”, including perspectives on platforms, regulatory agencies, and legislative aspects, relevant countermeasures and suggestions are proposed to uphold the healthy and smooth operation of the market.