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X Community Notes ‘Failed’ to Flag U.S. Election Falsehoods, Study Says
NewsGuard said X’s crowd-sourced system missed 93.1% of false election claims, as uncorrected posts drew millions of interactions.
- On Tuesday, NewsGuard reported that X's Community Notes failed to flag 93.1 percent of false claims regarding U.S. midterm elections, including misinformation promoted by Elon Musk.
- Introduced by X in late 2022, Community Notes allows users to contribute corrections to posts; tech platforms increasingly view this crowdsourced model as an alternative to professional fact-checking.
- Researchers found only 13 of the identified false posts were tagged with Community Notes, including one falsely claiming New York and California banned voter ID checks—a rule that does not exist in either Democratic stronghold.
- Last month, Meta began testing its own version of Community Notes in 16 Spanish-speaking countries in Latin America, following CEO Mark Zuckerberg's decision last year to end third-party fact-checking, which he said led to "too much censorship."
- Critics and Meta's Oversight Board argue Community Notes cannot adequately replace professional fact-checking, as researchers caution that users may target political opponents and the system works best only for topics with broad consensus.
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6 Articles
6 Articles
X Community Notes ‘failed’ to flag U.S. election falsehoods, study says
A crowd-sourced verification system used by Elon Musk’s X failed to flag a vast majority of false claims related to the U.S. midterm elections -- including those promoted by the billionaire -- a study said Wednesday.
·Toronto, Canada
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X Community Notes 'Failed' To Flag US Election Falsehoods, Study Says
A crowd-sourced verification system used by Elon Musk's X failed to flag a vast majority of false claims related to the US midterm elections -- including those promoted by the billionaire -- a study said Wednesday.
·New York, United States
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Total News Sources6
Leaning Left0Leaning Right2Center4Last UpdatedBias Distribution67% Center
Bias Distribution
- 67% of the sources are Center
67% Center
C 67%
R 33%
Factuality
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