Self-diagnosis is becoming a mental health problem of its own.
While self-diagnosis is not a new concept, short form media is giving individuals more confidence in their own diagnoses and online communities foster mistrust of corrective diagnoses by medical professionals.
“Mental health care professionals have expressed concern for over-medicalizing normative behaviors as potential symptoms or signs of illness.” (Corzine and Roy, 2024)
“[Self-diagnosis] can lead to inappropriate treatment modalities, causing strain on the medical system and the risk of harm to the individual.” (Corzine and Roy, 2024)
Many self-diagnoses are false positives.
Dr. Dorothy Stubbe, Yale School of Medicine, describes self-diagnosing patients as being in one of three categories (Stubbe, 2025):
They experience symptoms and use online sources to help them determine if they need professional help.
They are experiencing anxiety about their symptoms and are obsessed with the idea that they are an ill person.
Their symptoms partially fit a diagnosis and they have found comfort in an online community which shares this disorder.
Personalized algorithms contribute to self-diagnoses.
When a user suspects a diagnosis, the algorithm will suggest mental health-related content because the user will consistently engage with it (Corzine and Roy, 2024) (Romann and Oeldorf-Hirsch, 2025).
Humans are susceptible to confirmation bias. We readily seek information which supports our existing beliefs. Users attribute the recommended content as the algorithm “reading their mind” and strengthen their position on self-diagnosis (Corzine and Roy, 2024).
Individuals may even conform or accommodate their behaviours to the labels applied to them. This is described as the looping effect which can result in an increased frequency or severity of maladaptive symptoms (Corzine and Roy, 2024).
Diagnoses have become linked to identity.
Further, users report that they believe their feed is a projection of their identity and subconscious beliefs, regardless of what beliefs they consciously held previously (Corzine and Roy, 2024). When people see their feed as a true reflection of themselves, it can distort how they understand their identity.
“The sense of identity garnered by a psychiatric diagnosis may be heightened through participation in online self-help communities and witnessing content dedicated to their pathology.” (Carland, 2004)
Diagnoses have surpassed stigma and, in some cases, become prerequisites of belonging.
Shifting far from the previous hurdle of mental health stigma, a diagnosis can be appealing as it unlocks legitimate acceptance to exclusive online communities where people connect on the basis of their shared experiences of mental illness (Corzine and Roy, 2024).
An official diagnosis can also grant the individual “expert” level credibility on their diagnosed illness (Corzine and Roy, 2024). It follows that comorbidity would grant further membership and authority.
Example: ADHD has become a desired diagnosis despite its impairing symptoms.
“User-generated content about attention-deficit/hyperactivity disorder (ADHD) is one of the most popular health topics on the video-sharing social media platform TikTok.” (Yeung et al., 2022)
“Impressions from both the lay public and clinical professionals have converged in the observation that a salient feature of this emerging DID and self-diagnosed mental illness social media posting and discourse is that it has a distinct appearance of being romanticized, glamourized, and sexualized (or possibly malingered).” (Haltigan et al., 2023)
Tying mental health diagnoses to identity and belonging causes further harm.
When a diagnosis becomes a key part of an individual’s identity, they may become resistant to corrective diagnoses or resistant to treatment if the display of their symptoms contributes to the validity of their identity.
“Individuals presenting with a self-diagnosis may feel protective of this piece of their constructed identity and have the potential to feel judged by professionals who disagree with their self-assessment.” (Giles and Newbold, 2011)
Suicidality is an especially concerning identity to hold as users may feel compelled to maintain a level of symptom severity just to validate their continued inclusion in these online spaces.
References
Carland, Louis C. “A Madness for Identity: Psychiatric Labels, Consumer Autonomy, and the Perils of the Internet.” Philosophy, Psychiatry& Psychology, vol. 11, no. 4, 2004, pp. 335-349, https://www.researchgate.net/publication/236728645_A_Madness_for_Identity_Psychiatric_Labels_Consumer_Autonomy_and_the_Perils_of_the_Internet.
Corzine, Anjuli, and Ananya Roy. “Inside the black mirror: current perspectives on the role of social media in mental illness self-diagnosis.” Springer Nature, vol. 4, no. 40, 2024, https://link.springer.com/article/10.1007/s44202-024-00152-3.
Giles, David C., and Julie Newbold. “Self- and other-diagnosis in user-led mental health online communities.” Qual Health Res., vol. 21, no. 3, 2011, pp. 419-28, https://pubmed.ncbi.nlm.nih.gov/20739589/.
Haltigan, John D., et al. “Social media as an incubator of personality and behavioral psychopathology: Symptom and disorder authenticity or psychosomatic social contagion?” Comprehensive Psychiatry, vol. 121, no. 152362, 2023, https://www.sciencedirect.com/science/article/pii/S0010440X22000682?via%3Dihub.
Hasan, Farah, et al. “Normalizing Anxiety on Social Media Increases Self-Diagnosisof Anxiety: The Mediating Effect of Identification (But NotStigma).” Journal of Health Communication, vol. 28, 2023, pp. 563-572, https://www.tandfonline.com/doi/full/10.1080/10810730.2023.2235563.
Romann, Lili R., and Anne Oeldorf-Hirsch. “Exploring algorithmic cultivation – sensitive self-disclosure, self-diagnosis, and hazardous mental health communication on TikTok.” Journal of Media Psychology: Theories, Methods, and Applications, 2025, https://psycnet.apa.org/record/2026-23716-001.
Stubbe, Dr. Dorothy E. Patient Self-Diagnosis: Physician Engagement Tools to Compete With TikTok. 15 April 2025. Psychiatry Online, FOCUS, https://psychiatryonline.org/doi/full/10.1176/appi.focus.20250004#con.
Yeung, Anthony, et al. “TikTok and Attention-Deficit/Hyperactivity Disorder: A Cross-Sectional Study of Social Media Content Quality.” The Canadian Journal of Psychiatry, vol. 67, no. 12, 2022, pp. 899-906. National Library of Medicine, https://pmc.ncbi.nlm.nih.gov/articles/PMC9659797/.