This episode examines the rise of automated content moderation systems used by social media platforms and other online services. We'll explore the technical limitations of AI-powered moderation, the tradeoffs between free speech and safety, and the real-world impacts of content takedowns and account suspensions. We'll also investigate controversial cases of algorithmic over-censorship and the human labor behind the scenes of content moderation.

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This episode explores the origins and inner workings of recommendation algorithms, from early collaborative filtering systems to the sophisticated machine learning models powering today's online experiences. We'll dive into how these algorithms analyze user data to surface personalized content, the unintended consequences of optimization for engagement, and the ethical dilemmas posed by algorithmic curation of information.

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