mlsanityData to 14 Oct 2026

Community-Driven API and AI Writer Design for Openly Scaling Community Notes

arXiv 2609.40067 ↗First posted 30 Sep 2026cs.SI cs.AIcited by 0

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Abstract (arXiv)

Community Notes is a crowd-sourced approach for adding context to posts on X. Contributors propose and rate notes, forming the inputs to an open-source, open-data algorithm that determines which notes show broadly to users. Since September 2025, Community Notes' AI Note Writer API has provided an open, public interface for using AI to propose notes, while adhering to the founding principle that users, not the platform or an AI, control which notes show on X. Explicit note requests and user posts on X determine the AI API post feeds, ensuring that AI note writing responds to demand from X users. We present the design, operation and impact of the AI API, including analysis of the interaction between AI and human generated notes across topics. Unless otherwise stated, measurements and system description reflect June 2-29, 2026. The Community Writer is the largest AI API client and contributes the bulk of AI API output, generating 52% of notes selected as Helpful and shown broadly on X. The writer is guided by community input during both training and operation to prioritize, draft, evaluate and delete proposed notes. Beyond scale, the writer also offers speed, submitting the first proposed, non-deleted note on 60% of posts when compared to other writers. AI note writing is additive on top of human note writers, extending coverage of Community Notes on X. Among posts that have Helpful notes, 42% have only AI notes, indicating human raters did not feel motivated to propose an alternative. In contrast, 30% have only human notes, reflecting contribution beyond the scope of AI writing. The Community Writer is open-source software released under the Apache 2.0 license.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 18 references that are in the map. First posted on arXiv 30 Sep 2026.

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References · 7

  1. 2024Supernotes: Driving Consensus in Crowd-Sourced Fact-Checkingcited by 22
  2. 2022Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformationcited by 21
  3. 2025Community notes reduce engagement with and diffusion of false information onlinecited by 12
  4. 2025Can Community Notes Replace Professional Fact-Checkers?cited by 8
  5. 2025Scaling Human Judgment in Community Notes with LLMscited by 8
  6. 2024Community-based fact-checking reduces the spread of misleading posts on social mediacited by 7
  7. 2026AI Fact-Checking in the Wild: A Field Evaluation of LLM-Written Community Notes on Xcited by 2

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