Community Notes @CommunityNotes
Empowering users to create a better-informed world. We're open source and data is publicly available: https://t.co/Te3IjR10Ix Q? Reply/DM x.com/HelpfulNotes Joined October 2020-
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⚡Community Notes got faster, yet again. We just rolled out an optimization to the scorer that shaves 30mins of the time it takes notes to go live. Under the hood details: we moved some of the computation (e.g. the initial matrix factorization) into a prescoring step, which…
Contributors’ time is valuable and best spent reviewing high quality notes. We just rolled out an update to boost the quality of proposed notes by making it easier for accounts to lose writing ability if their notes are found Not Helpful by people from wide-ranging points of…
🇮🇳 भारत में नए योगदानकर्ताओं का स्वागत है 👋 हमारे पहले योगदानकर्ता आज शामिल हो रहे हैं, और हम समय के साथ विस्तार करते रहेंगे। हमेशा की तरह, हम यह सुनिश्चित करने के लिए गुणवत्ता की निगरानी करेंगे कि नोट्स विभिन्न दृष्टिकोण से लोगों के लिए उपयोगी साबित हों। कम्युनिटी नोट्स के…
🇮🇳 भारत में नए योगदानकर्ताओं का स्वागत है 👋 हमारे पहले योगदानकर्ता आज शामिल हो रहे हैं, और हम समय के साथ विस्तार करते रहेंगे। हमेशा की तरह, हम यह सुनिश्चित करने के लिए गुणवत्ता की निगरानी करेंगे कि नोट्स विभिन्न दृष्टिकोण से लोगों के लिए उपयोगी साबित हों। कम्युनिटी नोट्स के…
Welcome new contributors in 🇮🇳India 👋 Our first contributors are joining today, and we’ll be expanding over time. As always, we’ll monitor quality to ensure that notes are found helpful by people from different points of view. Community Notes now has contributors in 69…
We’ve updated Topic Models to utilize a larger set of early rating data. This allows them to produce higher confidence scores earlier in the process of ratings arriving. Update in GitHub:
We’ve updated Topic Models to utilize a larger set of early rating data. This allows them to produce higher confidence scores earlier in the process of ratings arriving. Update in GitHub:
Under the hood update: Introducing Topic Models, which improve Community Notes’ ability to identify notes that are helpful to people from different points of view. Community Notes shows notes that are found helpful by people who’ve disagreed in their past ratings. Now, it will…
Under the hood update: We’re testing a new scoring model to surface additional helpful notes. The update identifies more instances of consensus among users who have historically disagreed. As always, code and details are open-source in GitHub:
✨Note writing limits now consider hit rate, a writer’s ratio of helpful to total notes written. To write many notes in 24h, a writer must have a history of helpful notes and a solid hit rate. This prevents large volumes of proposed notes that aren’t found helpful. Details in…
✨Note writing limits now consider hit rate, a writer’s ratio of helpful to total notes written. To write many notes in 24h, a writer must have a history of helpful notes and a solid hit rate. This prevents large volumes of proposed notes that aren’t found helpful. Details in…
Starting today, you won't be prompted to rate notes if all notes on a post are already rated "Not Helpful" or explain why a note isn’t needed. Saves contributors’ time so they can focus where ratings matter most.
Give power to the people to keep each other informed. Apply 👇 Software: x.com/i/jobs/1749958… Machine Learning: x.com/i/jobs/1749956…
Under the hood update: We’ve made a few improvements to note ranking to further help ensure that notes are found helpful to people from a wide range of views. For example, this update builds on a technique Community Notes uses to identify notes that people see as potentially…
Community Notes just got faster, again! ⚡ Notes will appear over 1 hour faster. Since information travels quickly on X, this means notes will be seen by many more people at the time they read a post. This builds upon a recent update, moving the Community Notes scoring system…
Welcome new contributors in 🇭🇰Hong Kong, 🇰🇷South Korea and 🇹🇼Taiwan 👋 If you’d like to contribute to Community Notes, sign up at x.com/i/flow/join-bi…
Community Notes open-source code isn’t just visible to the people, it’s also written by the people.
Community Notes open-source code isn’t just visible to the people, it’s also written by the people.
Under the hood update: We’ve improved image matching. Notes written on images are shown on other posts that include the same image. While not common, there were occasional cases of images incorrectly matching. We improved precision of matching to avoid these. Thank you to the…
Welcome new contributors in 🇩🇿Algeria, 🇧🇭Bahrain, 🇪🇬Egypt, 🇮🇱Israel, 🇯🇴Jordan, 🇰🇼Kuwait, 🇱🇧Lebanon, 🇲🇦Morocco, 🇴🇲Oman, 🇵🇸Palestinian Territories, 🇶🇦Qatar, 🇹🇳Tunisia and 🇦🇪United Arab Emirates 👋 Community Notes now has contributors from over 60 countries around the world, and we…
Another big quality update: We’ve enhanced the open source scoring algorithm’s ability to spot potentially inaccurate or unsupported notes. How it works: The algorithm identifies notes that people from a wide range of viewpoints agree have potential issues with accuracy or…
Another quality update: We’re improving the way Rating Impact is calculated, which improves the average quality of proposed notes (as perceived by people from different points of view). This means contributors’ time and energy gets spent reviewing higher quality proposals. How…
Another quality update: We’re improving the way Rating Impact is calculated, which improves the average quality of proposed notes (as perceived by people from different points of view). This means contributors’ time and energy gets spent reviewing higher quality proposals. How… https://t.co/waxM6vsvBm
Welcome new contributors in 🇮🇩Indonesia, 🇲🇾Malaysia, 🇵🇭Philippines, 🇸🇬Singapore, 🇹🇭Thailand, 🇵🇬Papua New Guinea and 🇧🇳Brunei 👋 Amazing to see some of these new contributors already writing notes that have been found helpful enough to show on X.
Multiple big quality updates launching this week. As always, code is open source in GitHub. First up: We’re improving note quality while simultaneously increasing the number of notes shown on X by about 10%. Today’s update works by identifying notes that contributors from a wide…
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@CommunityNotes This will help limit any nefarious accounts. Other people can also get a chance to write a note
@CommunityNotes I like this! That will reduce the number of notes that should be in the comments.
Readers “adding context” and rating whether you find it “helpful” is so much more open ended than whether something is literally false or violates the TOS. And that’s how it adds so much value. Arguably the most helpful content moderation tool since the like button.
Birdwatch guide here. Again it’s all totally transparent. You have full under the hood access to the algorithm used.
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. 📊
Open source algorithm, transparent public data, and now a paper detailing the power of the voice of the people 👇
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. 📊
🚨Birdwatch Paper Alert!🚨 I am thrilled to finally be able to share this paper with the detailed results evaluating how effective Birdwatch's bridging algorithm is!
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. 📊
🚨New research alert 🚨 We describe how Birdwatch's crowd-sourced annotations help inform people's understanding of issues in potentially misleading Tweets and reduce the spread of potentially misleading information on Twitter. 🙏 Grateful for this incredible collaboration.
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. 📊
The labels @twitter has added to lies & misinformation are not censorship. @birdwatch notes aren’t either. That won’t stop liars & misinformed pundits claiming otherwise, but journalists should understand how they differ, who writes them, & where/how/why they don’t work.
In 2020, tech companies bet on labels to combat misinformation & disinformation. @twitter says most people saw them, & quoted tweeted labeled tweets less: …but toxic lies still spread here & on @facebook. Labels aren’t enough: cnn.com/2020/12/08/tec…
Reminder/PSA that they also publish all of the data from Birdwatch here x.com/i/birdwatch/do…. This is probably going to become a pretty interesting dataset.
Context on Tweets — by the people, for the people — is coming to everyone in the US. It’s open, transparent, and we’ve consistently seen notes be found helpful and informative even by people who often disagree.
@birdwatch It will be pretty cool to see what happens when this gets more attention.
Birdwatch is still an imperfect system, but I’m excited to see this launch to a broader audience. I’ve been contributing for ~6mos now and I think this approach has the potential to significantly improve how misleading information is handled on Twitter
Context on Tweets — by the people, for the people — is coming to everyone in the US. It’s open, transparent, and we’ve consistently seen notes be found helpful and informative even by people who often disagree.
#Twitter announcing @birdwatch Notes are being added to add context to Tweets. To help inform users. Read this 🧵👇
Context on Tweets — by the people, for the people — is coming to everyone in the US. It’s open, transparent, and we’ve consistently seen notes be found helpful and informative even by people who often disagree.
Excited today to launch @birdwatch to everyone in the US! Birdwatch is a community driven approach to misinformation that allows our users to add context and notes on tweets. Check it out!
Here’s a short video about Birdwatch! A video description is available here:
I don't often talk about what I do outside of advocacy on Twitter, but today we just launched Birdwatch (a misinformation fighting tool) to all US users! I'm grateful to work on such an amazing team working on such important problems to make ~~the discourse~~ better!
Context on Tweets — by the people, for the people — is coming to everyone in the US. It’s open, transparent, and we’ve consistently seen notes be found helpful and informative even by people who often disagree.
We are so excited to launch @birdwatch to all US @twitter users! This new community-based approach to misinformation allows people to add helpful and informative context to the public conversation.
Context on Tweets — by the people, for the people — is coming to everyone in the US. It’s open, transparent, and we’ve consistently seen notes be found helpful and informative even by people who often disagree.
This is incredibly exciting, and great model for what we need more of going forward. Most social media has a "bias toward division." 😡 @birdwatch introduces a counteracting force. It uses a form of bridging-based ranking (belfercenter.org/publication/br…) to overcome that bias. /1
Context on Tweets — by the people, for the people — is coming to everyone in the US. It’s open, transparent, and we’ve consistently seen notes be found helpful and informative even by people who often disagree.
@turningaphrase @jljcolorado @WHO @doctorsoumya @DrTedros @gabbystern This is coming from the Twitter @birdwatch feature. Apparently they have expanded the people allowed to join much. Still unfortunately requires a US phone number. It's of a different nature than their 'platform-level' labeling (i.e. for vaccine misinfo). x.com/birdwatch/stat…
Buckle up! We have a handful of exciting new updates to share with y’all: - Research on the impact Birdwatch is having - A new system to keep contribution quality high - Enrolling more contributors - Expanding the visibility of notes on Twitter 🧵
@turningaphrase @jljcolorado @WHO @doctorsoumya @DrTedros @gabbystern I'm glad that at least the @birdwatch 'algorithm' (I suppose it works with votes from users or so, not sure exactly) does manage to put *somewhat* of a misinfo warning on that tweet. That's promising for this feature. I haven't seen it in action before today, really. Thanks!
“Users who see a highly rated @birdwatch note on a tweet are less likely to share the tweet to their own followers, @kcoleman said” washingtonpost.com/politics/2022/… If that holds true as it scales, Notes could reduce the spread of misinformation & lies without @twitter taking any action.
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