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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-11-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076231210714 |