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Experts urge DSM revision to include algorithmic influence on eating disorders

Clinicians and researchers call for the next DSM edition to assess patients' exposure to social-media algorithms when evaluating eating disorders.

The forthcoming DSM revision, expected in 2030, will be the first since 2013, a period before platforms like TikTok and generative AI shaped health information. Experts argue that the manual should prompt clinicians to evaluate algorithm-driven content as part of the environmental context for eating disorders. Current DSM sections describe risk factors such as genetics, culture, and trauma, but do not explicitly address digital feeds that repeatedly present body-related messaging.

A recent National Eating Disorders Association survey of nearly 2,700 respondents showed frequent references to social-media triggers during treatment. While the manual does not claim causation, recognizing algorithmic exposure as a maintaining factor could improve assessment and treatment planning. The suggestion does not require new diagnostic criteria, only an expanded contextual prompt for clinicians. By the time DSM-6 is published, digital platforms will have evolved further, making this recommendation timely.

Why it matters

Including algorithmic exposure helps clinicians better understand modern triggers for eating disorders.

In this story

DSM revisioneating disorderssocial media algorithmsclinical assessmentenvironmental risk factorsdigital exposure
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