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UC San Diego Study: X's Community Notes Provide Accurate Responses to Vaccine Misinformation (JAMA, 2024)
webtoday.ucsd.edu·today.ucsd.edu/story/study-finds-xs-formerly-twitters-com...
Relevant to AI safety discussions around content moderation, crowdsourced oversight, and scalable mechanisms for correcting harmful or false information on AI-mediated platforms.
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Summary
A UC San Diego-led study published in JAMA finds that X's Community Notes, a crowdsourced fact-checking mechanism, effectively countered COVID-19 vaccine misinformation with accurate and credible information. The research represents one of the few empirically validated successes in the broader challenge of social media misinformation countermeasures, suggesting crowdsourced approaches can serve as scalable tools for information integrity.
Key Points
- •Community Notes on X (formerly Twitter) provided accurate, credible responses to popular posts containing COVID-19 vaccine misinformation, per JAMA-published research.
- •The study is led by John W. Ayers at UC San Diego's Qualcomm Institute and represents one of few validated wins against the WHO-declared 'infodemic'.
- •Community Notes uses a crowdsourced model where contributors collaboratively add factual context to misleading posts, offering a scalable alternative to top-down content moderation.
- •Findings suggest participatory, community-driven fact-checking may be a viable component of platform governance for health misinformation.
- •The research highlights how decentralized information correction mechanisms could inform AI and platform safety policies around misinformation at scale.
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| Page | Type | Quality |
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| AI-Era Epistemic Infrastructure | Approach | 59.0 |
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# Study Finds X’s Community Notes Provides Accurate Responses to Vaccine Misinformation

A new UC San Diego-led study published in JAMA finds that X's Community Notes, a crowdsourced approach to addressing misinformation, helped counter false health information in popular posts about COVID-19 vaccines with accurate, credible responses. (Photo by Maksim Goncharenok via Pexels)
## Story by:
- [Mika Ono](https://today.ucsd.edu/archives/author/Mika_Ono)
-
[m1ono@ucsd.edu](mailto:m1ono@ucsd.edu)
## Published Date
April 24, 2024
## Story by:
- [Mika Ono](https://today.ucsd.edu/archives/author/Mika_Ono)
-
[m1ono@ucsd.edu](mailto:m1ono@ucsd.edu)
## Topics covered:
- [Social media](https://today.ucsd.edu/search/results?q=Social%20media#gsc.tab=0&gsc.q=Social%20media&gsc.page=1)
- [Misinformation](https://today.ucsd.edu/search/results?q=Misinformation#gsc.tab=0&gsc.q=Misinformation&gsc.page=1)
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## Article Content
As the proliferation of misinformation continues to pose a significant challenge on social media platforms, a beacon of hope emerges in research from the [University of California San Diego](https://ucsd.edu/).
A new study published in [JAMA](https://jamanetwork.com/journals/jama/fullarticle/10.1001/jama.2024.4800?guestAccessKey=293a59ac-c25a-4267-bf73-98cd74fc978f&utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=042424) led by [Jo
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