We're building a dystopia just to make people click on ads | Zeynep Tufekci
6 人推荐 · 跨 6 个月 · 2017–2026
中文导读
技术社会学家 Zeynep Tufekci 深刻揭示：驱动商业广告投放的机器学习系统，实质上正在筛选并操纵大众能看到的政治与社会信息。黑盒算法通过行为诱导、用户细分完成精准操控，其最大威胁在于让掌权者拥有了控制大众心智的利器。
为什么 HN 推它
每逢社区讨论算法推荐机制、微定向投放或广告底层架构时必被引用的警世之作，通俗剖析了算法放大效应的社会危害。
「这个关于“说服力架构”的 TED 演讲，对这种商业模式提出了极其尖锐且发人深省的道德审视。」HN 网友原话：This TED talk[0] on persuasion architectures brings up some interesting moral arguments against this idea.
英文原摘要（HackerTube / Claude 整理）
Technosociologist Zeynep Tufekci argues that the machine-learning systems used to serve ads also decide what political and social information people see. She explains how opaque algorithms can nudge, segment and manipulate users, and warns that the real danger is powerful people using AI to control populations.
HN commenters cite it whenever engagement-optimizing feeds, micro-targeting or ad infrastructure come up, as an accessible warning about algorithmic amplification.
HN 上的提及
there is a really scary Ted talk suggesting that it's possible Facebook is using deep learning techniques to optimize for engagement
check out the Ted talk by Zeynep Tufekci
the same ad serving infrastructure that can segment populations into whether they are likely to buy X, can also segment people by political affiliation