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An exploratory analysis of self-diagnosis on Reddit

Datos Bibliográficos

ID19491663
AutoresA L Johnson (0000-0003-1263-7730, Lehigh University, autor de correspondencia)
Año2026
Volumen9
Páginas100597
Fecha de publicación2026-06-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSSM - Mental Health (JOURNAL)
Identificadores de la revistaISSN: 2666-5603 • E-ISSN: 2666-5603
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.ssmmh.2026.100597
OpenAlexW7128695555
IdiomaEN
Citas recibidas1
Referencias citadas52

Online self-diagnosis is an increasingly common phenomenon. Its ubiquity counters the expectation that people will generally avoid stigmatizing labels like mental illness diagnoses. Yet social media may provide a space for users to anonymously “try on” labels without fear of stigma or social sanction. This article uses exploratory qualitative analysis to examine self-diagnosis on the social media platform Reddit. I document how self-diagnosis is a relational process of identity work involving three steps: a feeling of mental wrongness, proposal of a diagnostic explanation, and request for a community solution. Using sentiment analysis, I also show that posts mentioning self-diagnosis express less negative emotion than those mentioning professional diagnosis. Despite widespread criticism of self-diagnosis, this work suggests that it offers a means of engagement with sympathetic others and a tool to understand the self in a culture dominated by psychiatric thinking. • Social media offer new contexts that facilitate self-diagnosis with mental illness. • Exploratory qualitative analysis uncovers self-diagnosis as a multi-step process. • Sentiment analysis indicates more negative affect around formal diagnosis than self-diagnosis. • Self-diagnosis on social media is a form of identity work and community engagement

Affect (linguistics) · Criticism · Exploratory analysis · Exploratory research · Feeling · Identity (music) · Qualitative analysis · Qualitative research · Sentiment analysis · Social media · Impact of Technology on Adolescents · Mental Health and Patient Involvement · Mental Health via Writing

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Obras citantes distintas1
Citas por año1
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae