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Explore the Community Notes algorithm through this 31-minute conference talk that examines the intersection of algorithmic design and user experience in content moderation. Dive into the open-source system originally developed by Twitter's team, which empowers platform users to add contextual notes to potentially misleading posts without central authority oversight. Learn how this hands-off approach contrasts with traditional AI-managed content moderation systems and discover the mathematical engine that ranks bridges of agreement between different human perspectives. Analyze the design choices that drive user participation in this crowd-sourced moderation experiment, particularly relevant as Meta adopts this system across all platforms in 2025. Gain insights into the broader challenges and possibilities of decentralized content moderation, making this essential viewing for anyone building agents or considering dialogue-as-interface approaches in their work.