Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach

BACKGROUND: Research has repeatedly shown that exposure to suicide-related news media content is associated with suicide rates, with some content characteristics likely having harmful and others potentially protective effects. Although good evidence exists for a few selected characteristics, systema...

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Detalles Bibliográficos
Autores principales: Metzler, Hannah, Baginski, Hubert, Niederkrotenthaler, Thomas, Garcia, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434391/
https://www.ncbi.nlm.nih.gov/pubmed/35976193
http://dx.doi.org/10.2196/34705

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434391/
https://www.ncbi.nlm.nih.gov/pubmed/35976193
http://dx.doi.org/10.2196/34705

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