CCDH: of 283 X posts in 2024 with false election claims that Community Notes members had responded to, only 20 had notes with enough votes to be publicly shown
How X's Community Notes system falls short on misleading election claims Andrew Hutchinson / Social Media Today : Reports Find Community Notes Is Failing To Address Misinformation on X Danny Gallagher / Engadget : X's Community Notes feature has one job, and it's failing to do it Threads: Will Oremus / @willoremus : NEW: We dove deep into X's innovative “Community Notes” fact-checking program to see how it's faring against the tide of election misinformation, drawing on our own analysis and exclusive research by @counterhate. — The verdict: It's completely overmatched. — Gift link: https://wapo.st/4eaFSUZ X: @ccdhate : 🚨 NEW: X's Community Notes are failing to counter misleading claims about the US election, despite Musk calling it the “best source of truth on the internet.” We analyzed a sample of accurate Community Notes & found that 74% aren't being shown to users🧵 https://www.washingtonpost.com/ ... Rachel Gilmore / @atrachelgilmore : 🚨NEW: Community Notes were supposed to help Elon Musk in his goal to make Twitter the “best source of truth on Earth.” But according to new research from CCDH, 74% of accurate Community Notes they studied were not shown to users. That's not good. Let's talk about it: [video] Alex Mahadevan / @alexmahadevan : Good analysis of @CommunityNotes from @WillOremus, @TrishaThadani and @jeremybmerrill. I think the program is ingenious and innovative. But ineffective on a platform flooded with misinfo. But here's the most interesting finding imo. https://www.washingtonpost.com/ ... [image] Dr. Mary Anne Franks / @ma_franks : Least surprising news of the day:"Musk has touted the crowdsourcing program, called Community Notes, as “the best source of truth on the internet.” But the majority of accurate fact checks proposed by users on political posts are never shown to the public" https://www.washingtonpost.com/ ... Forums: r/musked : Twitter under Musk, disinformation is winning See also Mediagazer
Context & Ripple Effects
Community Notes had already drawn sharply different assessments: a 2022 analysis found most contributed notes were not visible, while a 2023 account presented its cross-perspective consensus model as a promising alternative to conventional fact-checking. The election-claim findings put the operational constraint—getting sufficient agreement to publish—at the center of that tension.
The problem also fits reports that volunteers were overwhelmed during a fast-moving conflict, when relatively few notes were displayed. Later coverage of the system’s expansion beyond X makes its performance on high-stakes misinformation consequential beyond a single platform.
First-order effects
- False election claims that receive Community Notes contributions can remain publicly uncorrected when the notes do not clear the display threshold, limiting the system’s immediate informational value to X users.
- The result weakens X’s evidence that crowdsourced consensus can reliably surface corrections during a major information surge; contributors’ work does not translate into visible intervention without sufficient ratings.
Second-order effects
- X faces pressure to examine whether its voting and publication rules are suppressing useful corrections, rather than merely relying on more contributor participation; the issue resembles the earlier finding that most Community Notes submissions remained invisible.
- Platforms considering or adopting the model must treat note production and note distribution as separate problems. That matters as Community Notes-style systems roll out on Meta services while evidence of their limits accumulates.
Third-order effects
- If consensus thresholds repeatedly fail under polarized, high-volume events, crowdsourced fact-checking is likely to remain a supplementary moderation layer rather than a substitute for faster platform enforcement.
- The long-run design trade-off is between broad ideological agreement, which can bolster legitimacy, and the speed and coverage needed for time-sensitive misinformation; no threshold design in the coverage resolves both.
The trend: Community-led moderation is being tested by whether it can convert volunteer fact-checking into timely, visible corrections at the scale of major public events.