Joined October 2020
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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!
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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AI Note Writer API update: Welcome developers writing notes in test_mode! Like all contributors, AI Note Writers must earn the ability to write notes that are seen by other people. So, before being admitted, AI Note Writers’ notes are scored by an open-source, automated note evaluator. The evaluator is intended to increase the likelihood that AI-written notes will be found helpful by contributors, and thus avoid annoying contributors. Beginning today, your AI writer will receive results from the automated note evaluator when you submit test notes. Currently the evaluator will return scores on two measures: • Topical Relevance. Whether the note is plausibly related to the topic of the post. • Harassment-Abuse. Whether the note is likely or unlikely to be viewed as potential harassment or abuse by contributors. The evaluator bases decisions on historical input from Community Notes contributors, so as to best predict how test_mode notes will be perceived by real contributors. We expect to add additional measures to the automated note evaluator and will publish criteria to earn admission in the coming weeks. We aim to be ready to admit a first cohort of AI Note Writers later this month. Learn more in the API Guide: communitynotes.x.com/guide/e…
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…
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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
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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
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…
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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…
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Robustness update: Community Notes already employs multiple techniques to address coordination, and today we’re adding a new one. If a would-be Helpful note receives a significantly lower score without ratings from correlated raters, the note will be shown as a preview to gather more ratings from a wider range of contributors. Today’s update identifies correlated contributors by finding dense subgraphs associating raters and posts within the rating graph. This approach helps ensure Helpful notes are indeed found broadly helpful. Details in the open-source code and guide: communitynotes.x.com/guide/e…
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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…
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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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Robustness update: We’ve rolled out an update that strengthens Community Notes’ robustness to anomalous rating volumes. If a would-be Helpful note receives a significantly lower score without ratings from anomalously high volume raters, the note will be shown as a preview to gather more ratings from a wider range of contributors. This approach helps ensure Helpful notes are indeed found broadly helpful. Details in the open-source code and guide: communitynotes.x.com/guide/e…
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Working to get notes appearing normally, as well. Thanks for the reports, contributors 🙏
We're still experiencing issues from yesterday's data center outage. Login and signup services are unavailable for some users, and there may be delays in notifications and Premium features.

Our team is working 24/7 to resolve this. Thanks for your patience—updates soon.
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Community Notes code + data is open source so that people can see, audit, critique or help improve it. Starting today, you can also download “Request a Community Note” data. Anyone on X can request a note. Requestors don’t have to meet signup criteria (like verified, unique phone number) or earn the ability to make requests (like they do to propose Community Notes) so request data can be noisy and of variable quality. Currently requests are shown to Top Writers when there are enough requests on a post. We expect this to evolve, for example by factoring in how often one’s requests have led to a proposed or helpful note appearing. Stay tuned. Details: communitynotes.x.com/guide/e… Data: communitynotes.x.com/guide/e…
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Robustness update: We’ve extended Community Notes ability to detect coordinating contributors with additional features targeting coordination between note writers and raters. When the scoring algo detects anomalous correlations in ratings, it automatically prevents those ratings from contributing to notes achieving helpful status. Unlike systems that might shadow ban or use private data, this system follows Community Notes principles and works entirely on open and public data with open and public effects. Thank you to all the contributors out there. Learn more: communitynotes.x.com/guide/e…
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Thank you to all the contributors out there – you've changed the way people stay informed 🙏
X @X
built by the people, for the people.

@CommunityNotes now with one million contributors worldwide.
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Under the hood update: We’ve further fortified against both organic and targeted pile-ons by augmenting the bridging algorithm to require more balanced engagement across raters. This approach measures balance based on the Net Helpful Ratings (Helpful minus Not Helpful) from raters of different perspectives. This check is particularly helpful early in a note’s rating cycle, when ratings might be rapidly arriving from people of one perspective, for example due to inherent imbalance in the virality of a post. As always, code is open source: communitynotes.x.com/guide/e…
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Under the hood update: Turns out people like to write notes about scams & behaviors they think are potentially not in accord with policies. We rolled out a new topic model to score these independently. Doing so better models perspectives on these notes in particular, and improves modeling of perspectives on notes outside of the topic. This helps the scorer better determine which notes will be found helpful by people from different viewpoints. As always, code is open source: communitynotes.x.com/guide/e…
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Under the hood update: We’ve updated note ranking to further fortify against pile-ons or organic waves of ratings from one perspective. Notes now need a minimum number of ratings from raters with different perspectives, ensuring Helpful status reflects a more robust consensus and decreasing the chances of a status change as more ratings arrive. Notes that otherwise meet the Helpful standard but do not have enough ratings are shown as visible note previews to help gather more ratings, and will also be included in the Needs Your Help tab. As always, code is open source: communitynotes.x.com/guide/e…
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New iOS update: Proposed note previews (visible only to contributors to gather ratings) are now more visually distinct from notes shown across X. Matches Android and web design, with a small wording change on all platforms. Designed to help clarify what you’re seeing. As always, your feedback shapes the product — thank you & keep it coming.
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Under the hood update: In the Community Notes scoring system, Group Models help improve helpful note coverage on segments of the dataset where the primary models tend to identify fewer helpful notes. We’re testing a change that would also allow Group Models to mark notes as Needs More Ratings. This has the potential to improve note helpfulness. We’re testing it with one Group Model, and if it works well we may expand to more. As always, code is open source: communitynotes.x.com/guide/e…
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Under the hood update: If a note has a promising score, but a high predicted potential to flip based on existing rating data, the note first shows to Community Notes contributors as a visible proposed note preview rather than immediately showing across X. This allows it to gather more ratings. We just rolled out an update to the flip prediction model. It now takes into account additional features, such as the burstiness of ratings on a given note (ratings coming in quickly means the scorer is rapidly gathering more signal on helpfulness) and ratings on other notes on the post (which may indicate, for example, raters’ perspectives on whether or not the post itself would benefit from a note). These features help Community Notes preview the least certain notes longer, and show the most certain helpful notes faster. As always, code is open source: communitynotes.x.com/guide/e…
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Under the hood update: Building on an earlier update, the scoring system will now further help to reduce flips on notes that are related to a topic that has an associated topic scoring model. If a note has a promising score, and is being scored by a TopicModel, but that TopicModel does not yet have enough ratings to produce a confident score, the note will show to Community Notes contributors as a proposed note preview for longer. This allows it to gather more ratings — reducing the chance of a flip — before it starts showing to everyone. As always, the code is open source: communitynotes.x.com/guide/e…
Under the hood update: Sometimes a note will start showing, and then stop showing as more ratings come in. We just launched an update to reduce such flips.

If a note has a promising score, but also a higher potential to flip based on existing rating data, rather than immediately showing across X, the note will show to Community Notes contributors as a visible proposed note preview for longer. This allows it to gather more ratings — reducing the chance of a flip — before it starts showing to everyone.
As always, the code is open source: communitynotes.x.com/guide/e…
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We open-sourced Community Notes so anyone can study, audit, or help improve it — and so that it can be reused to advance the quality of information across the internet. Exciting to now see Meta deploy the algorithm in their Community Notes launch. Bringing notes to more corners of the web should spark new insights for refining the product and algorithm. Big thanks to contributors worldwide who’ve helped Community Notes get to the point where it can be replicated across the world’s largest platforms.
Starting March 18th, contributors will be able to write and rate Community Notes across @facebook, @instagram and Threads. Full details in the link below.

about.fb.com/news/2025/03/te…
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The Needs Your Help feed shows promising notes that could use more ratings. For example, notes from Top Writers, notes with early high scores but few ratings, etc. Now, Needs Your Help will also show notes that have many ratings from people of one perspective, but could use ratings from people of other perspectives. This has multiple benefits: helpful notes can go live faster, and notes that are perceived as biased and not broadly helpful can be identified more effectively. Check out your Needs Your Help feed here: x.com/i/communitynotes/needs…
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Top Writers have expressed frustration when an account copies their note and re-proposes it nearly verbatim on the same post. Understandable! We just launched a change that will show near-replica notes lower in the list of proposed notes on a post. This has the benefit of both reducing ratings that go to near-replica notes (we’ve seen a drop during testing) and allowing for helpful minor rewrites (like typo fixes) to be visible to raters. Thank you, Top Writers, for your feedback on this.
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Under the hood update: We’ve improved the scorer’s ability to identify notes that are found helpful by people who normally disagree, by fundamentally improving its ability to identify past agreement and disagreement. Specifically, today’s update makes it possible for the algorithm to better delineate raters’ agreement and disagreement in general from their agreement and disagreement on specific topics. This means that when it scores notes, it can more precisely and confidently identify those that will be helpful to people from different points of view. As always, the code is open source: communitynotes.x.com/guide/e…
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Under the hood update: Sometimes a note will start showing, and then stop showing as more ratings come in. We just launched an update to reduce such flips. If a note has a promising score, but also a higher potential to flip based on existing rating data, rather than immediately showing across X, the note will show to Community Notes contributors as a visible proposed note preview for longer. This allows it to gather more ratings — reducing the chance of a flip — before it starts showing to everyone. As always, the code is open source: communitynotes.x.com/guide/e…
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Under the hood update: We’ve tuned topic assignment to increase the coverage of TopicModels. When scoring a note, the Community Notes algorithm factors in whether the note is found helpful by people who normally disagree. It factors in whether raters have disagreed in general and whether they've disagreed on on the specific topic of the note. Assigning more topically-relevant notes to TopicModels results in the notes that show across X being found more helpful to people from different points of view. As always, the code is open source: communitynotes.x.com/guide/e…
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We know contributors don't like seeing (or feeling obligated to rate) low-quality proposed notes. Perhaps the note is an opinion that would be better as a reply, or uses language that people feel is biased or argumentative. We launched an update that will help identify more such notes — those that people from different perspectives agree are not helpful. More will earn a status of “Not Helpful,” and if a contributor writes these repeatably, they’ll be more likely to have their writing ability locked and have to re-earn it: communitynotes.x.com/guide/e… As always, the code for this update is open source: communitynotes.x.com/guide/e… Thank you to the many diligent contributors out there, from all different perspectives, who have shared feedback about this and helped identify these notes through your ratings. Stay tuned for further improvements!
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~14% of Community Note Requests now contain source links — a big help to note writers! Thank you to everyone who’s taking advantage of this new feature to help accelerate note writing. And new for contributors: All contributors now have the ability to request a note on a post. Previously this was available to all non-Community Notes contributors on X, but experimentally only to half of contributors. Now everyone can request a note.
Starting today, you can add a source when you request a Community Note. This makes it easier for note writers to understand what context might be helpful on a post, so it can accelerate the process of a note appearing.

Initially you can add another X post as a source. We know people sometimes see a reply or quote with useful added context, and then request a note. This makes it easy to send that info to prospective note writers.
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New, faster media matching ⚡ When a note is written on an image or video, it automatically shows on all posts with matching media. We accelerated the matching process, and since this update, the majority of notes have started showing on matching posts within ~90 seconds. Getting helpful notes out to people super quickly.
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Starting today, you can add a source when you request a Community Note. This makes it easier for note writers to understand what context might be helpful on a post, so it can accelerate the process of a note appearing. Initially you can add another X post as a source. We know people sometimes see a reply or quote with useful added context, and then request a note. This makes it easy to send that info to prospective note writers.
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