This paper is in the following e-collection/theme issue:

New Methods (925) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1445) Machine Learning (1429) Depression and Mood Disorders; Suicide Prevention (1320)

Published on in Vol 21, No 5 (2019): May

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors

Authors of this article:

Xingyun Liu1, 2, 3 Author Orcid Image ;   Xiaoqian Liu1 Author Orcid Image ;   Jiumo Sun1, 2 Author Orcid Image ;   Nancy Xiaonan Yu3 Author Orcid Image ;   Bingli Sun1 Author Orcid Image ;   Qing Li4 Author Orcid Image ;   Tingshao Zhu1 Author Orcid Image
Article Authors Cited by (53) Tweetations (6) Metrics

Xingyun Liu   1, 2, 3 , MA ;   Xiaoqian Liu   1 , PhD ;   Jiumo Sun   1, 2 , BA ;   Nancy Xiaonan Yu   3 , PhD ;   Bingli Sun   1 , MA ;   Qing Li   4 , PhD ;   Tingshao Zhu   1 , PhD

1 Institute of Psychology, Chinese Academy of Sciences, Beijing, China

2 Department of Psychology, University of Chinese Academy of Sciences, Beijing, China

3 Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China (Hong Kong)

4 Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

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