Health Misinformation — AI Fact‑Checking Future Myths

Health misinformation and AI fact checking in the age of deepfakes and social media misinformation How crowdsourced truth, AI content moderation, and human reviewers are reshaping the fight against medical myths debunked Discover what actually works now—and what’s coming next—in stopping life‑threatening online medical misinformation What You'll Learn: How health misinformation spreads across social media and why deepfakes and generative AI raise the stakes for public health The evidence behind Cochrane Crowd’s 30,000‑strong volunteer network and how it matches expert accuracy in screening medical research What Twitter/X Community Notes data reveals about crowdsourced fact checking and its impact on viral misinformation within 24 hours How Google’s ‘Al‑Mira’ health claim detector uses AI fact checking to process ~1 million URLs per day and when humans still need to step in The trade‑offs between professional fact‑checking, AI content moderation, and community‑driven notes in correcting health myths vs facts Why scaling back traditional fact‑checking on major platforms leaves gaps—and which emerging AI tools could realistically fill them Practical steps listeners can take to evaluate online medical misinformation and protect themselves from dangerous health myths What the Journal of Medical Internet Research report suggests about the future of AI in healthcare information and policy responses About the Guest: About the Guest: This episode is based on reporting by health and science journalist Wendy Glauser, whose article “As Social Media Scales Back Fact-Checking, Can Technologies Fill the Gap?” appears in the Journal of Medical Internet Research. Glauser specializes in explaining complex health policy and digital health trends, making her work highly relevant for anyone concerned about online medical misinformation.