The hidden depths of suicidal discourse: Network analysis and natural language processing unmask uncensored expression

BACKGROUND: The socially unattractive and stigmatizing nature of suicidal thought and behavior (STB) makes it especially susceptible to censorship across most modern digital communication platforms. The ubiquitous integration of technology with day-to-day life has presented an invaluable opportunity...

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Detalles Bibliográficos
Autores principales: Lekkas, Damien, Jacobson, Nicholas C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623973/
https://www.ncbi.nlm.nih.gov/pubmed/37928333
http://dx.doi.org/10.1177/20552076231210714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623973/
https://www.ncbi.nlm.nih.gov/pubmed/37928333
http://dx.doi.org/10.1177/20552076231210714

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