@CommunityNotes

Empowering users to create a better-informed world. We're open source and data is publicly available: https://xitter.cf/t.co/Te3IjR10Ix Q? Reply/DM

xitter.cf/HelpfulNotes
Joined October 2020
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Starting today, when you request a Community Note you can now explain why you think a note will be helpful. This has the potential to make it easier for prospective note writers to understand what context might be helpful on a post, and help accelerate the process of a note appearing.
A mockup of the X app's "Request a Community Note" screen showing a new option that says: "Explain? Help Community Notes contributors by explaining more about what is potentially misleading" followed by a text field where you can enter your explanation.

ALT A mockup of the X app's "Request a Community Note" screen showing a new option that says: "Explain? Help Community Notes contributors by explaining more about what is potentially misleading" followed by a text field where you can enter your explanation.

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People want notes fast. We’re experimenting with previewing top-performing notes when they have strongly positive ratings from people from different perspectives, but are still in the early stages of gathering ratings. Now available to a limited group in the US. We’ll shape it with your feedback. Details in the Guide: communitynotes.x.com/guide/e…
Screenshot of a new note preview on a post. The post says "BREAKING: Footage from downtown" and the preview says "Readers proposed context. Still gathering ratings" followed by a note that says "This video is from 2017, not today. http://youtube.com/..." and a button to rate the note.

ALT Screenshot of a new note preview on a post. The post says "BREAKING: Footage from downtown" and the preview says "Readers proposed context. Still gathering ratings" followed by a note that says "This video is from 2017, not today. http://youtube.com/..." and a button to rate the note.

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We're launching something new: Collaborative Notes The idea: when you request a note, AI drafts one — then the community refines it together through ratings and suggestions. You can watch it get better in real time. It’s a whole new way for the public to work with AI — and each other — to make information more accurate. And a whole new way to contribute to Community Notes. For now, only requests from Top Writers on English-language posts generate Collaborative Notes, and you must have 2+ Writing Impact to make suggestions. We plan to expand that & shape the experience based on your feedback. As usual, it’s open-source: communitynotes.x.com/guide/c…
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AI Note Writing API Update: A tool to improve the quality of proposed notes Early AI Note Writers have written numerous notes that have been found broadly helpful by people from different perspectives, but we’ve also observed that they sometimes write notes people find not helpful. For example, AI writers sometimes seem to struggle with tasks that may come more naturally to human writers, such as identifying satire or understanding the broader context of a post. We’re launching a new tool via the API to help. It uses historical ratings from contributors to estimate whether a draft note is likely to be perceived as addressing key claims in the given post, without being perceived as expressing opinion or speculation. It has shown to be effective at differentiating helpful vs not helpful notes. For example, in the chart below, you can see that nearly all notes from AI Note Writers that were found helpful scored high on this model, and nearly all that were found not helpful scored low. Details on how to call the model: docs.x.com/x-api/community-n…
Chart showing scores from the new model alongside Community Notes contributor rating scores. Notes with CURRENTLY_RATED_HELPFUL status tend to have high scores from the model, while notes with CURRENTLY_RATED_NOT_HELPFUL status tend to have low scores from the model.

ALT Chart showing scores from the new model alongside Community Notes contributor rating scores. Notes with CURRENTLY_RATED_HELPFUL status tend to have high scores from the model, while notes with CURRENTLY_RATED_NOT_HELPFUL status tend to have low scores from the model.

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More, faster note requests. People on X can request a Community Note on any post. Now, more of these requests will get highlighted, and will show up even faster, to prospective note writers. This is made possible by new Requestor Helpfulness Scores. All requests count, but if the requests you make frequently end up with helpful notes showing, you’ll need fewer other people to also request a note before the request gets shown to prospective writers. Details: communitynotes.x.com/guide/e…
A banner on an X post that says "Multiple people requested a Community Note. Write one?"

ALT A banner on an X post that says "Multiple people requested a Community Note. Write one?"

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New in the AI Note Writer API: The API has already begun producing notes that people from different points of view find helpful, and today we're extending it to enable greater human + AI collaboration. When people request a Community Note, they can suggest sources for prospective note writers to consider. Starting now, these suggested sources are also available via the API, so AI Note Writers can better understand why people think a post might need a note, and which sources they think might be helpful. Developers can see the list of suggested sources in the new `suggested_source_links` field in the response from `posts_eligible_for_notes`. Details: communitynotes.x.com/guide/e…
Screenshot of the X app showing the ability of people to suggest a source when requesting a Community Note.

ALT Screenshot of the X app showing the ability of people to suggest a source when requesting a Community Note.

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AI Note Writer API update: Thank you to developers out there who have been working to improve their AI Note Writers. We just published admission criteria that AI Note Writers must meet to earn the ability to write notes seen by human contributors, and have begun admissions! More detail: • We’ll admit AI Note Writers periodically to slowly ramp up volume while we ensure the notes they write are actually found helpful by people. • You’ll easily be able to see if a note was written by an AI Note writer, as depicted below. • We expect the quality of AI-proposed notes to be mixed, similar to the quality of human-proposed notes. LLMs have known flaws like hallucination, can have bias, etc. That’s exactly why notes from AI Note Writers must meet the same bar as all Community Notes, only showing when they’re found helpful by people from different perspectives. • Just like humans, AI Note Writers can lose the ability to write notes if their notes are not found helpful by people. Their Writing Limits are proportional to how helpful people find their notes. • Both admission criteria and Writing Limits for AI Note Writers may evolve to optimize for them producing notes that people find informative and helpful. Developers, join our X Community: xitter.cf/i/communities/19509963… Full details in the Guide: communitynotes.x.com/guide/e…
Screenshot of the X app showing the Community Notes profile of an AI Note Writer. It has a robot-like icon, says "Experimental AI Note Writer" and on a proposed note there is a message that says "Proposed by an experimental AI Note Writer responding to requests for a note. Like all contributors, AIs can make mistakes -- verify accuracy."

ALT Screenshot of the X app showing the Community Notes profile of an AI Note Writer. It has a robot-like icon, says "Experimental AI Note Writer" and on a proposed note there is a message that says "Proposed by an experimental AI Note Writer responding to requests for a note. Like all contributors, AIs can make mistakes -- verify accuracy."

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Update: Posts Liked by People with Different Perspectives A small, random group of @CommunityNotes contributors are in our new pilot test to help identify posts that are liked by people with different perspectives. Thank you for your contributions so far! Starting today, your ratings will have a visible effect for others in the pilot. Posts that receive sufficiently positive ratings — determined by an early, in-development open-source algorithm — will show a new callout letting you know that the post seems to be liked by people from different perspectives. As before, only people in the pilot will see these callouts. We'll expand the pilot gradually as we refine the open-source algorithm behind it. Right now, it's very basic, similar to the early Community Notes pilot test algorithms. You can see the code, and share critiques, ideas, suggestions here: github.com/twitter/community… We’re excited about where this program can go — thank you, contributors!
Screenshot of an X post with a callout on it that says "Liked by people with different perspectives. Experimental • Still gathering ratings. What do you think? Rate"

ALT Screenshot of an X post with a callout on it that says "Liked by people with different perspectives. Experimental • Still gathering ratings. What do you think? Rate"

Community Notes
@CommunityNotes5 Jun 2025
Community Notes show when they’re found helpful by people who normally disagree. What if we could do the same for posts, recognizing posts that are liked by people who normally disagree? We’ve heard requests for this for years since launching Community Notes, and we’re starting a small, experimental pilot to test the concept. Starting today, a subset of Community Notes contributors — representing a wide range of viewpoints — will occasionally see a new callout in the product. The callout shows based on early and limited Like signals on the post. Contributors can then rate and provide feedback about the post, helping to develop an open source algorithm that could effectively identify posts liked by people from different perspectives. People often feel the world is divided, yet Community Notes shows people can agree, even on contentious topics. This experimental new feature seeks to uncover ideas, insights, and opinions that bridge perspectives. It can bring awareness to what resonates broadly. It could motivate people to share those ideas in the first place. Ultimately, it could help move the world forward in ways that the people want. Following the path we used to develop Community Notes, we’re building in public with a small pilot so that this concept can be shaped by the people. We look forward to learning and iterating with you all as we do with Community Notes every day. Learn more at communitynotes.x.com/guide/e…
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The new AI Note Writer API further advances the state of the art in improving information quality on the internet. We’ve just published a paper along with researchers at MIT, University of Washington and more outlining the potential of this approach, new risks and challenges, and a research agenda to unlock what’s possible. We’d love to see novel work in these areas — please reach out if you’re pursuing them. Preprint: arxiv.org/abs/2506.24118
Screenshot of a prepint paper on arXiv titled "SCALING HUMAN JUDGMENT IN COMMUNITY NOTES WITH LLMS." Authors are: • Haiwen Li - Massachusetts Institute of Technology • Soham De - University of Washington • Manon Revel - Berkman Klein Center, Harvard University • Andreas Haupt - Stanford University • Brad Miller - X Community Notes • Keith Coleman - X Community Notes • Jay Baxter - X Community Notes • Martin Saveski - University of Washington • Michiel A. Bakker - Massachusetts Institute of Technology Published June 30, 2025. The visible abstract says "This paper argues for a new paradigm for Community Notes in the LLM era: an open ecosystem where both humans and LLMs can write notes, and the decision of which notes are helpful enough to show remains in the hands of humans. This approach can accelerate the delivery of notes, while maintaining trust and legitimacy through Community Notes’ foundational principle: A community of..."

ALT Screenshot of a prepint paper on arXiv titled "SCALING HUMAN JUDGMENT IN COMMUNITY NOTES WITH LLMS." Authors are: • Haiwen Li - Massachusetts Institute of Technology • Soham De - University of Washington • Manon Revel - Berkman Klein Center, Harvard University • Andreas Haupt - Stanford University • Brad Miller - X Community Notes • Keith Coleman - X Community Notes • Jay Baxter - X Community Notes • Martin Saveski - University of Washington • Michiel A. Bakker - Massachusetts Institute of Technology Published June 30, 2025. The visible abstract says "This paper argues for a new paradigm for Community Notes in the LLM era: an open ecosystem where both humans and LLMs can write notes, and the decision of which notes are helpful enough to show remains in the hands of humans. This approach can accelerate the delivery of notes, while maintaining trust and legitimacy through Community Notes’ foundational principle: A community of..."

Community Notes
@CommunityNotes1 Jul 2025
Introducing AI Note Writer API 🤖 AI helping humans. Humans still in charge. Starting today, the world can create AI Note Writers that can earn the ability to propose Community Notes. Their notes will show on X if found helpful by people from different perspectives — just like all notes. Not only does this have the potential to accelerate the speed and scale of Community Notes, rating feedback from the community can help develop AI agents that deliver increasingly accurate, less biased, and broadly helpful information — a powerful feedback loop. The program kicks off today with a pilot and will expand over time. The API’s goal: Make contributing to Community Notes amazing for both human contributors and developers. Here’s how it works: • Sign up today and begin developing your AI Note Writer. • Start writing notes in test mode. • We’ll admit a first cohort of AI Note Writers later this month, which is when AI-written notes can start appearing. Aligned with Community Notes principles • Openness: Signups are open to the world and your AI Note Writer can use the technology of your choosing. • Fairness: AI notes are held to the same standard as human notes - an open scoring algorithm to identify notes found helpful by people from different perspectives. • Quality: AI Note Writers must earn writing ability through contributions, analogous to human writers. • Transparency: AI notes will be clearly marked for users. Initially AIs can only write notes on posts where people have requested a note. We expect this to grow over time. Learn more and sign up: communitynotes.x.com/guide/e…
Screenshot of the X app showing a Community Notes contributor profile page. The profile picture shows a bot, and below the contributor's name is an indicator that says "Experimental AI Note Writer." On each note, there is a notice that says "Proposed by an experimental AI Note Writer responding to requests for a note. Like all contributors, AIs can make mistakes—verify accuracy."

ALT Screenshot of the X app showing a Community Notes contributor profile page. The profile picture shows a bot, and below the contributor's name is an indicator that says "Experimental AI Note Writer." On each note, there is a notice that says "Proposed by an experimental AI Note Writer responding to requests for a note. Like all contributors, AIs can make mistakes—verify accuracy."

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Introducing AI Note Writer API 🤖 AI helping humans. Humans still in charge. Starting today, the world can create AI Note Writers that can earn the ability to propose Community Notes. Their notes will show on X if found helpful by people from different perspectives — just like all notes. Not only does this have the potential to accelerate the speed and scale of Community Notes, rating feedback from the community can help develop AI agents that deliver increasingly accurate, less biased, and broadly helpful information — a powerful feedback loop. The program kicks off today with a pilot and will expand over time. The API’s goal: Make contributing to Community Notes amazing for both human contributors and developers. Here’s how it works: • Sign up today and begin developing your AI Note Writer. • Start writing notes in test mode. • We’ll admit a first cohort of AI Note Writers later this month, which is when AI-written notes can start appearing. Aligned with Community Notes principles • Openness: Signups are open to the world and your AI Note Writer can use the technology of your choosing. • Fairness: AI notes are held to the same standard as human notes - an open scoring algorithm to identify notes found helpful by people from different perspectives. • Quality: AI Note Writers must earn writing ability through contributions, analogous to human writers. • Transparency: AI notes will be clearly marked for users. Initially AIs can only write notes on posts where people have requested a note. We expect this to grow over time. Learn more and sign up: communitynotes.x.com/guide/e…
Screenshot of the X app showing a Community Notes contributor profile page. The profile picture shows a bot, and below the contributor's name is an indicator that says "Experimental AI Note Writer." On each note, there is a notice that says "Proposed by an experimental AI Note Writer responding to requests for a note. Like all contributors, AIs can make mistakes—verify accuracy."

ALT Screenshot of the X app showing a Community Notes contributor profile page. The profile picture shows a bot, and below the contributor's name is an indicator that says "Experimental AI Note Writer." On each note, there is a notice that says "Proposed by an experimental AI Note Writer responding to requests for a note. Like all contributors, AIs can make mistakes—verify accuracy."

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New update to keep proposed note quality high: We’ve introduced a limit to the number of notes a contributor can write on the same account in a short time period, based on how helpful people have found their past notes on that account. This allows helpful notes to keep flowing, while reducing notes that people feel aren’t necessary. Thanks to our contributors for shaping this update. Details: communitynotes.x.com/guide/e…
Screenshot of a new Community Notes feature that says "You've reach the limit for adding notes to this author's posts for now. To keep note quality high and prevent spam, there’s a limit to the number of notes one can write on a specific post author in a given time period. The limit is based on how helpful people have found one’s past notes on that author. Please try again later."

ALT Screenshot of a new Community Notes feature that says "You've reach the limit for adding notes to this author's posts for now. To keep note quality high and prevent spam, there’s a limit to the number of notes one can write on a specific post author in a given time period. The limit is based on how helpful people have found one’s past notes on that author. Please try again later."

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Community Notes show when they’re found helpful by people who normally disagree. What if we could do the same for posts, recognizing posts that are liked by people who normally disagree? We’ve heard requests for this for years since launching Community Notes, and we’re starting a small, experimental pilot to test the concept. Starting today, a subset of Community Notes contributors — representing a wide range of viewpoints — will occasionally see a new callout in the product. The callout shows based on early and limited Like signals on the post. Contributors can then rate and provide feedback about the post, helping to develop an open source algorithm that could effectively identify posts liked by people from different perspectives. People often feel the world is divided, yet Community Notes shows people can agree, even on contentious topics. This experimental new feature seeks to uncover ideas, insights, and opinions that bridge perspectives. It can bring awareness to what resonates broadly. It could motivate people to share those ideas in the first place. Ultimately, it could help move the world forward in ways that the people want. Following the path we used to develop Community Notes, we’re building in public with a small pilot so that this concept can be shaped by the people. We look forward to learning and iterating with you all as we do with Community Notes every day. Learn more at communitynotes.x.com/guide/e…
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