TikTok is teaching a generation what ADHD is. The problem: two clinical psychologists checked the 100 most-viewed ADHD videos and found under half the symptom claims (48.7%) were accurate. The fake-science clips weren't the fringe. They were the popular ones. A thread 👇
Researchers then ran another test. 843 young adults watched the experts' best and worst picks : they rated the worst videos higher and the best ones lower. The more ADHD content they'd consumed, the more confident they were recommending it. Accuracy was not a concern.
68.5% of the inaccurate claims just described ordinary human experience. Bumping into furniture. A sweet tooth. Replaying a song. Engagement rewards the relatable and the absolute; clinical nuance ("this may not apply to everyone") is boring. Only 4% of videos included any.
And the people posting it: 80% disclosed no credentials; in a related study, just ~1.6% of #ADHD videos came from health professionals. More concerning : about half were selling something like products, coaching or had donation links.
The fair part: people aren't stupid for being here. Formal diagnosis is slow, costly, and historically missed women, girls, and adults entirely. TikTok fills a need. But the algorithm does not care about truth, it rewards engagement.
In the UEA review's ADHD case, ~3% of professional videos carried misinformation vs ~55% from non-professionals. The fix isn't telling people to log off. It's getting clinicians into the algo.
Sources: Karasavva et al., PLOS ONE 2025 (the #ADHD study): https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0319335 · Carter/Chatburn et al., systematic review, J. Social Media Research 2026: https://jsomer.org/index.php/pub/article/view/84
Geoffrey
npub1sh…k2jqf
2026-06-04 20:34:43 UTC
Author Public Key
npub1sh85qn5dgrq8gerr2lwu6v7gmn5g6300prdz56tdf42nesjfjmwq6k2jqfPublished at
2026-06-04 20:34:43 UTCEvent JSON
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"content": "TikTok is teaching a generation what ADHD is. The problem: two clinical psychologists checked the 100 most-viewed ADHD videos and found under half the symptom claims (48.7%) were accurate. The fake-science clips weren't the fringe. They were the popular ones. A thread 👇\n\nResearchers then ran another test. 843 young adults watched the experts' best and worst picks : they rated the worst videos higher and the best ones lower. The more ADHD content they'd consumed, the more confident they were recommending it. Accuracy was not a concern.\n\n68.5% of the inaccurate claims just described ordinary human experience. Bumping into furniture. A sweet tooth. Replaying a song. Engagement rewards the relatable and the absolute; clinical nuance (\"this may not apply to everyone\") is boring. Only 4% of videos included any.\n\nAnd the people posting it: 80% disclosed no credentials; in a related study, just ~1.6% of #ADHD videos came from health professionals. More concerning : about half were selling something like products, coaching or had donation links.\n\nThe fair part: people aren't stupid for being here. Formal diagnosis is slow, costly, and historically missed women, girls, and adults entirely. TikTok fills a need. But the algorithm does not care about truth, it rewards engagement.\n\nIn the UEA review's ADHD case, ~3% of professional videos carried misinformation vs ~55% from non-professionals. The fix isn't telling people to log off. It's getting clinicians into the algo.\n\nSources: Karasavva et al., PLOS ONE 2025 (the #ADHD study): https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0319335 · Carter/Chatburn et al., systematic review, J. Social Media Research 2026: https://jsomer.org/index.php/pub/article/view/84",
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