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#CommunityNotes

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Continued thread
Patrick Vanhoucke

A deep dive into #X #CommunityNotes contributions in English and Spanish (2021-2025) organized by #DDIA, the Digital Democracy Institute of the Americas. Less than 10% of submitted community notes are published.

ddia.org/en/new-report-briefin

ddia.orgEvent: DDIA BRIEFING: Inside X’s Community NotesOn July 9, 2025, the Digital Democracy Institute of the Americas (DDIA) hosted a briefing to share the first bilingual analysis of X’s community moderation tool. Based on over 1.7 million Community Notes, the presentation revealed how the system functions, identified language-based disparities, and offered data-driven insights into participation patterns and platform design challenges in decentralized moderation.
Patrick Vanhoucke

Meer dan 90 % van de door gebruikers voorgestelde #CommunityNotes op #X wordt nooit gepubliceerd. Dat zegt een studie van ngo #DDIA (Digital Democracy Institute of the Americas). Dit cijfer werpt twijfel op over de doelstelling van deze methode om #desinformatie op het internet te bestrijden.

vrtnws.be/p.BlJjoWX7Y

"Meer dan 90 procent van community notes op X blijft onzichtbaar": rapport waarschuwt voor gebrekkige strijd tegen desinformatie | VRT NWS: nieuws
VRT NWS · "Meer dan 90 procent van community notes op X blijft onzichtbaar": rapport waarschuwt voor gebrekkige strijd tegen desinformatie | VRT NWS: nieuwsBy VRT NWS
Continued thread
☮ ♥ ♬ 🧑‍💻

“‘They can help deliver a lot more notes #faster with #LessWork, but ultimately the decision on what’s helpful enough to show still comes down to #humans,’ Coleman said Tuesday in an interview. “So we think that combination is incredibly #powerful.”

There are currently hundreds of notes published to Twitter (x) every day, Coleman said, and while he doesn’t have a target for how that might change once AI is involved, there could be a “significant” increase. Twitter (x) first debuted a crowd-sourced fact-checking program when the company was still known as #Twitter, and well before Musk’s 2022 takeover. But its focus on #CommunityNotes has increased under Musk’s ownership, and has recently been adopted by other companies, including #Meta Platforms Inc. and #ByteDance Ltd.’s #TikTok.

Musk himself has said Community Notes serves as a bulwark against #FalseInformation, calling it hoax kryptonite, but he is also regularly #flagged by the fact-checking process for posting misleading information.”

#ArtificialIntelligence / #AI / #AITools / #WhiteCollar / #ZeroHourWork / #KeithColeman / #x / #twitter <bloomberg.com/news/articles/20> (paywall) / <archive.md/pk7Tg>

☮ ♥ ♬ 🧑‍💻

“#Twitter (x) is launching a way for #developers to create #AIBots that can write #CommunityNotes that can potentially appear on #posts.

Like #humans, the “AI Note Writers” will be able to #submit a Community Note, but they will only actually be shown on a post “if *found helpful* by people from different perspectives,” X says in a post on its Community Notes account. Notes written by #AI will be “clearly marked for users” and, to start, “AIs can only write notes on posts where people have requested a note.””

#ArtificialIntelligence / #KeithColeman / #X <theverge.com/news/696210/x-com>

The Verge · X opens up to Community Notes written by AI botsBy Jay Peters
Tom Stafford

The top Community Notes contributor is...an antivirus startup?

indicator.media/p/the-top-comm (£)

Curious tale about the #CommunityNotes #FactChecking system on X/Twitter, which arose out of some analysis Alexios, Zara and myself are doing on CN. It seems like one antivirus company got so frustrated with the lack of response from the X about scam posts that they decided to pump their notifications through as CNs so people could be alerted about harmful content that way

IndicatorThe top Community Notes contributor is...an antivirus startup?I thought someone was gaming X’s crowdsourced moderation; instead, they appear to be helping clean up the platform’s mess for free.
Tom Stafford

Community Notes Can’t Save Social Media From Itself

bloomberg.com/opinion/features

#DataJournalism on the X/Twitter #CommunityNotes data suggests
- CN are getting faster, but are still slow (median is +14 hours after original post)
- A smaller % of notes are being published (personally, not sure that is bad if overall submission number is up)
- the content for notes overwhelming comes from traditional media, wikipedia and fact-checkers

Tom Stafford

Meta: Testing Begins for Community Notes on Facebook, Instagram and Threads
about.fb.com/news/2025/03/test

- in US initially, across several languages
- no dampening of posts which attract Notes
- they're going to start with the original CN algorithm from X/twitter
- repeats claim that professional fact checkers are biased

Meta · Testing Begins for Community Notes on Facebook, Instagram and Threads | MetaOn March 18th, we will begin testing our new crowd-sourced Community Notes approach.
#CommunityNotes#FactChecking
PrivacyDigest

#ElonMusk to “fix” Community Notes after they contradict #Trump

#CommunityNotes are supposed to be added to posts to limit #misinformation spread after a broad consensus is reached among X users with diverse viewpoints on what corrections are needed. But #Musk now claims a "fix" is needed to prevent supposedly outside influencers from allegedly gaming the system.
#takeover #Twitter

arstechnica.com/tech-policy/20

Ars Technica · Elon Musk to “fix” Community Notes after they contradict TrumpBy Ashley Belanger
petersuber

New study: "We use crowd-sourced assessments from X’s #CommunityNotes program to examine whether there are partisan differences in the sharing of misleading information. Unlike previous studies, misleadingness here is determined by agreement across a diverse community of platform users, rather than by fact-checkers. We find that 67% more posts by #Republicans are flagged as misleading compared to posts by #Democrats."
osf.io/preprints/psyarxiv/vk5y

osf.ioOSF
#Misinformation#SocialMedia#Twitter
WetHat💦

Meta's Community Notes system is effective in addressing misinformation? Yes, until it's not when:
➡️ There is not enough user engagement.
➡️The community response is too late.
➡️The community is poisoned by bad faith actors.
➡️The 'algorithm' works against it.
➡️Facts are NOT a matter of community opinions.

The article also cites a study based on an insignificant sample size of only 205 community notes. 🙅

rstreet.org/commentary/metas-s

#FactChecking#CommunityNotes#Meta
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