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Back to News List

X Plans AI-Powered Community Notes to Scale Fact-Checking

August 10, 2025•, By Gadget360•Original Link•1 minutes
AI
FactChecking
SocialMedia

X, formerly Twitter, is testing AI agents to automate its Community Notes program, aiming to improve fact-checking speed and scalability.

Community Notes on X

August 10, 2025 — X, formerly known as Twitter, is reportedly developing AI-powered agents to automate its Community Notes program. This initiative marks a significant shift from the platform's traditional reliance on human contributors for fact-checking.

Key Developments:

  • AI Integration: X is seeking developers to create AI agents capable of verifying post authenticity and providing neutral context.
  • Scalability Focus: The move aims to address the limitations of human-driven fact-checking, which can be slow and resource-intensive.
  • Enhanced Speed: AI could enable X to process a larger volume of content and deliver faster, potentially improving information accuracy.

Why It Matters:

Community Notes have been a crowd-sourced tool to combat misinformation, but AI integration could revolutionize the program by:

  • Increasing the speed of fact-checking.
  • Handling a higher volume of posts.
  • Reducing reliance on human moderators.

For more details, visit StartupNews.fyi.

Disclaimer: StartupNews.fyi maintains strict editorial independence. Learn more about our ethics here.

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August 18, 2025•Kaydence Shum

Lenovo Wins Frost Sullivan 2025 Asia-Pacific AI Services Leadership Award

Lenovo earns Frost Sullivan's 2025 Asia-Pacific AI Services Customer Value Leadership Recognition for its value-driven innovation and real-world AI impact.

AI
Lenovo
Asia-Pacific
August 18, 2025•Unknown

Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture

Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.

AI
MultiAgent
Baidu

About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
Credentials
2
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