Amazon被曝使用其收集的购物跟踪数据对消费者进行深度个人特征推断。1一位用户在浏览Amazon设置菜单时发现，该平台根据其购物历史标签其为"臀部扁平"的特征。1这一发现随后在社交媒体Threads平台引发病毒式传播。1
多位用户紧随其后分享了自己的类似遭遇，揭示了Amazon对消费者的各种精准且离奇的推断。1有用户发现Amazon将其标签为"不易信任他人"等个人特征。1用户可通过Amazon设置菜单查看该平台对其建立的数据描述和推断内容。1
Amazon has been using its tracking capabilities to make detailed personal inferences about shoppers, according to discoveries that have sparked widespread discussion online.1 A user found that the platform had categorized her as having "flat buttocks" based on her purchase history, a finding she shared publicly.1 The revelation prompted other users to examine their own Amazon data profiles, where they discovered similarly intrusive characterizations, including labels suggesting they are untrustworthy or socially isolated.1
The personal traits Amazon assigns to users can be accessed through the company's settings menu, where customers can view the data descriptions and inferences the platform maintains about them.1 These classifications appear to be derived from detailed analysis of shopping patterns and browsing behavior.1 The discovery went viral on the social media platform Threads, highlighting the extent to which Amazon's data collection and categorization practices extend into highly personal domains.1
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