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How does Community Notes avoid bias, pile-ons, ...?
Video transcript: raw.githubusercontent.com/twitter/commun…
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Just launched an algorithm update that keeps note statuses and contributor impact scores more stable as we expand Community Notes. In addition to helping going forward, it boosts existing contributor impact scores by better recognizing helpful past contributions. Details 🧵
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Sometimes notes seem plausibly correct, but careful raters identify inaccuracies or inconsistency with sources. To strengthen note accuracy, we're rolling out a new algorithm update that builds on tag filtering to identify rating patterns that suggest a note may contain… twitter.com/i/web/status/1…
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In September, we began requiring that new contributors unlock the ability to write notes by first making valuable ratings. This increased average note quality so much that, today, we are retroactively requiring that all contributors meet these criteria in order to write notes.
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You can see notes that are currently rated helpful and showing on Twitter here: twitter.com/i/communitynot… If you don’t see them yet, don’t fret, it’s in the process of rolling out.
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As always, this change to our algorithm is open source and can be inspected in Github:
github.com/twitter/commun…
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In the spirit of transparency, Birdwatch makes everything and the kitchen sink public and open source. Today, we’re sharing a paper that details the research, analysis and outcomes that informed its development and helped us understand its performance. 📊 github.com/twitter/birdwa…
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Exciting update to our open source ranking algorithm that improves note quality, making it less likely that mediocre or unhelpful notes appear on Tweets. In the spirit of #AlgorithmicTransparency, here’s how and why it works…
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Hi! We’re the team building Birdwatch.
We believe that a transparent, community-driven approach to identifying misleading information and elevating helpful context can help us all create a better-informed world. twitter.com/TwitterSupport…
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We’re constantly experimenting with the open-source algorithms that select which notes to show. So you can follow along, you can now easily see in “Note Details” which model computed the current status of a note.
Read more about our open-source models: communitynotes.twitter.com/guide/en/under…
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Introducing: Needs Your Help Alerts✨ Contributors tell us over and over they want to add informative context to Tweets a lot of people are seeing. These new alerts let you know when your rating could help determine if a proposed note on a high visibility Tweet gets shown:
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Want to keep up-to-date with the Community Notes that people are finding helpful? These notes have always been public in the Community Notes site, but now we're making it easier: just follow @HelpfulNotes
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Now live everywhere — Android, iOS and Web. More context on what you're reading. twitter.com/CommunityNotes…
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Community Notes keeps growing! We're admitting contributors from 8 new countries today. twitter.com/CommunityNotes…
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By popular request, it’s now easier for contributors on desktop to get to the Community Notes site.
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Each contributor’s limit is equal to their Writing Impact plus 5, unless Writing Impact is negative, in which case the limit is 1.
For example:
A contributor with -1 Writing Impact can write 1 note every 24 hours.
A contributor with 0 Writing Impact can write 5 notes every 24… twitter.com/i/web/status/1…
Empowering people on Twitter to create a better-informed world.
We're open source and data is publicly available: twitter.github.io/communitynotes
Q? Tweet/DM