This TED interview argues that Community Notes is a scalable, relatively trusted way to add context to misleading online posts by using contributors with differing viewpoints rather than platform-dictated moderation. Keith Coleman and Jay Baxter say the system works because it is transparent, has no override button, favors notes that are judged helpful across perspectives, and increasingly uses AI plus human review to speed up corrections and broaden coverage.
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Keith Coleman and Jay Baxter present Community Notes as a “better informed world” mechanism: a crowdsourced, transparent context layer that helps people judge misleading posts without relying on a tech company’s unilateral truth judgments. Their core claim is that Community Notes works better than conventional fact-checking because it is open, verifiable, and designed to surface notes that people from different perspectives both find helpful. They frame the product as especially useful in a polarized environment where standard moderation was too slow, too small in scale, and too distrusted to solve the misinformation problem. A major example they use is an Iran-related post claiming the USS Lincoln was damaged and casualties occurred, while the image was AI-generated. …
Near term, the actionable setup is the race between synthetic-media volume and Community Notes’ ability to draft, rate, and attach corrections fast enough to matter. Watch for whether the new AI-assisted workflow speeds up context without triggering trust issues or obvious gaming.
Over the next few months, the base case is gradual improvement in correction speed and coverage, with the strongest validation coming from note quality staying high across more contentious, fast-moving stories. The main invalidation would be manipulation or degradation in cross-perspective agreement.
The structural thesis is that decentralized, crowd-verified context can become a durable substitute for platform-imposed truth arbitration. If that holds, the bigger long-run shift is from moderation as censorship risk toward moderation as open, common-knowledge infrastructure.
Notes are only shown when rated helpful by people with different perspectives, with no override button for the platform.
The speaker explains that the system relies on cross-perspective agreement and that the company cannot manually remove notes once they are eligible.
Community Notes improves information quality by attaching user-written context to posts and is expanding across more of the internet.
The speaker says they built Community Notes to help people access accurate information and that it can be used on many kinds of posts across the platform.
Community Notes can appear within about 20 minutes on a new post and instantly when matched to existing URL, image, or video notes.
The speaker contrasts the system with slower fact-checking and says matching existing media lets notes surface immediately, while brand-new posts can still be noted within about 20 minutes.
What is a Community Note and how does it work on a post?
Jay Baxter explains that a Community Note is added context attached to a post, often clarifying what is wrong or misleading in the original content. He says regular users write the notes, and they only appear after being rated helpful by people from different perspectives.
Can Community Notes be applied to official accounts, ads, or any kind of post?
Keith Coleman says all posts are eligible, including heads of state, company posts, entertainment, fashion, and even posts from the White House. He gives examples of AI imagery, deepfake audio, and notes that in at least one case the White House changed a public statement after a note.
What led to the invention of Community Notes?
Keith Coleman traces the idea back to the 2016 election, when he saw Twitter function as a daily debate arena where truth was hard to establish. He says later work at Twitter showed that fact-checking and internal moderation were too slow, too small in scale, and not trusted enough, which pushed him toward new ideas that became Community Notes.
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