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Community Notes - Wikipedia
referenceCredibility Rating
3/5
Good(3)Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: Wikipedia
Relevant to AI safety researchers interested in scalable human oversight mechanisms, collective epistemics, and governance models for managing misinformation—potential inspiration for AI content moderation or human-AI collaborative verification systems.
Metadata
Importance: 35/100wiki pagereference
Summary
Community Notes is a crowdsourced fact-checking and context-adding feature on X (formerly Twitter) that allows users to collaboratively add informational notes to potentially misleading posts. It uses a bridging-based ranking algorithm designed to surface notes that find consensus across politically diverse users, rather than majority-vote systems that could be captured by partisan groups. The system represents an approach to combating misinformation at scale through collective intelligence mechanisms.
Key Points
- •Uses a 'bridging-based' algorithm that requires agreement from users with diverse viewpoints to approve notes, reducing partisan capture.
- •Represents a public goods approach to content moderation, distributing fact-checking labor across the user base rather than relying solely on platform moderators.
- •The algorithm and data are open-source, allowing external researchers to audit and study the system's effectiveness and biases.
- •Relevant to AI safety as a case study in human oversight mechanisms, collective epistemics, and scalable content moderation infrastructure.
- •Demonstrates tradeoffs between speed, accuracy, and consensus in information quality systems that may inform AI governance designs.
Cited by 2 pages
| Page | Type | Quality |
|---|---|---|
| X Community Notes | Project | 54.0 |
| AI-Era Epistemic Infrastructure | Approach | 59.0 |
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Community Notes - Wikipedia
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From Wikipedia, the free encyclopedia
Fact-checking feature on X
Community Notes Logo of Community Notes on X Rating a Community Note on X Other names Birdwatch Original author Twitter, Inc. Developer X Corp. Initial release January 25, 2021 Written in Python Platform X Type Crowdsourcing
Fact-checking
Content moderation
License Apache-2.0 license Website communitynotes .x .com Repository github .com /twitter /communitynotes
Community Notes (formerly known as Birdwatch ) is a feature on X (formerly Twitter) where contributors can add context such as fact-checks under a post, image or video. It is a community-driven content moderation program, intended to provide helpful and informative context, based on a crowd-sourced system. Notes are applied to potentially misleading content by a bridging-based algorithm not based on majority rule , but instead agreement from users on different sides of the political spectrum .
The program launched on the platform in 2021 and became widespread in 2023. Initially shown to U.S. users only, notes were popularized in March 2022 over misinformation in the Russian invasion of Ukraine followed by COVID-19 misinformation in October. Birdwatch was then rebranded to Community Notes and expanded in November 2022. As of November 2023, it had approximately 133,000 contributors; notes reportedly receive tens of millions of views per day, with its goal being to counter propaganda and misinformation . According to investigation and studies, the vast majority of users do not see notes correcting content. [ a ] In May 2024, a study of COVID-19 vaccine notes were deemed accurate 97% of the time. [ 3 ] [ 4 ]
Critics have also highlighted how it has spread disinformation , is vulnerable to manipulation, and has been inconsistent in its application of notes, as well as its efforts in combating of misinformation. Some suggest that structurally the system "lacks critical reflection on the potential for content to harm". [ 5 ] [ b ] Elon Musk , the owner of X, considers the program as a game changer and having considerable potential. However, after a post by Musk received a Community Note, he claimed the program had been manipulated by state actors . [ 6 ]
History
[ edit ]
The original logo of Birdwatch
In February 2020, Twitter began introducing labels and warning messages intended to limit potentially harmful and misleading content. [ 7 ] In August 2020, development of Birdwatch was announced, initially described as a moderation tool. Twitter first launched the Birdwatch program in January 2021, intended as a way to debunk misinformation and propaganda, with a pilot program of 1,000 contributors, [ 8 ] [ 9 ] weeks after the Januar
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