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Detecting potentially harmful and protective suicide-related content on
  twitter: A machine learning approach

Detecting potentially harmful and protective suicide-related content on twitter: A machine learning approach

9 December 2021
Hannah Metzler
Hubert Baginski
Thomas Niederkrotenthaler
David Garcia
    AI4MH
ArXivPDFHTML

Papers citing "Detecting potentially harmful and protective suicide-related content on twitter: A machine learning approach"

3 / 3 papers shown
Title
A Survey of Large Language Models in Mental Health Disorder Detection on Social Media
A Survey of Large Language Models in Mental Health Disorder Detection on Social Media
Zhuohan Ge
Nicole Hu
Darian Li
Yubo Wang
Shihao Qi
Yuming Xu
Han Shi
J. Zhang
AI4MH
63
0
0
03 Apr 2025
Mental Health Coping Stories on Social Media: A Causal-Inference Study
  of Papageno Effect
Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect
Yun-Peng Yuan
Koustuv Saha
Barbara Keller
E. Isometsä
Talayeh Aledavood
11
17
0
20 Feb 2023
LEXpander: applying colexification networks to automated lexicon
  expansion
LEXpander: applying colexification networks to automated lexicon expansion
A. Natale
David Garcia
18
5
0
31 May 2022
1