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Keith Coleman & Jay Baxter: How bridging finds neutral truth

Through bridging-based scoring that rewards agreement between users who disagree; only 7% of proposed notes ever ship, and Meta now copies the algorithm.

Lenny RachitskyhostKeith ColemanguestJay Baxterguest
Feb 27, 20251h 47mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 6:56

    Introduction to Community Notes

  2. 6:56 – 13:33

    How the “bridging-based” algorithm works

  3. 13:33 – 17:24

    The impact and scale of Community Notes

  4. 17:24 – 21:32

    Understanding the note publishing threshold

  5. 21:32 – 26:26

    Challenges and philosophies

  6. 26:26 – 29:41

    The effect of notes on re-sharing content

  7. 29:41 – 35:46

    Origin story

  8. 35:46 – 40:23

    Embracing small teams for big impact

  9. 40:23 – 47:47

    The thermal project approach

  10. 47:47 – 50:34

    Algorithm development and internal competitions

  11. 50:34 – 58:56

    An inside look at how the team operates

  12. 58:56 – 1:05:30

    Working with Elon

  13. 1:05:30 – 1:10:48

    Launching Birdwatch

  14. 1:10:48 – 1:26:15

    The core principles behind Community Notes

  15. 1:26:15 – 1:32:17

    Anonymity and pseudonymity in contributions

  16. 1:32:17 – 1:37:57

    Sustaining the project through leadership changes

  17. 1:37:57 – 1:42:12

    Future directions for Community Notes

  18. 1:42:12 – 1:47:57

    Final thoughts and optimism for the future

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