Tuesday, March 17, 2026

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Half of TikTok’s Mental Health Advice Is Just Wrong, Study Finds

FutureHalf of TikTok's Mental Health Advice Is Just Wrong, Study Finds
TikTok / Reve AI
TikTok / Reve AI

TikTok has emerged as a popular platform for sharing information about mental health. However, a recent study reveals a concerning trend that over half of this content contains inaccurate information, according to a report by Engadget.

An investigation led by The Guardian examined the top 100 videos on TikTok tagged with #mentalhealthtips. Alarmingly, 52 of these videos were found to contain false information. These misleading clips covered a wide range of mental health topics, including anxiety, depression, bipolar disorder, and trauma.

The most prevalent issue identified was the pathologization of normal emotions. Many videos incorrectly label everyday experiences of fatigue or anxiety as symptoms of specific mental disorders. Another significant problem was the misuse of therapeutic language. For example, the term “abuse” was often used out of context, inappropriately linking certain behaviors directly to mental illness. Perhaps most concerning were the unfounded treatment methods and false claims circulating on the platform. Some videos made outrageous assertions, such as promising trauma cures within an hour or attributing depression to specific substances without scientific backing.

In response to these findings, TikTok defended its practices, stating that it collaborates with the World Health Organization (WHO) and the UK’s National Health Service (NHS) to provide accurate information. A TikTok spokesperson asserted that they’ve actively removed problematic content and preemptively block 98% of false information. Despite these claims, experts continue to express serious concerns about the spread of misinformation on the platform. The prevalence of misleading mental health content on TikTok raises important questions about the responsibility of social media platforms in moderating health-related information and the potential impact on users’ well-being.

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