Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022

Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022

BackgroundSocial media platforms have been increasingly used to express suicidal thoughts, feelings, and acts, raising public concerns over time. A large body of literature has explored the suicide risks identified by people’s expressions on social media. However, there is no...

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Bibliographic Details
Main Authors: Siqin Wang, Huan Ning, Xiao Huang, Yunyu Xiao, Mengxi Zhang, Ellie Fan Yang, Yukio Sadahiro, Yan Liu, Zhenlong Li, Tao Hu, Xiaokang Fu, Zi Li, Ye Zeng
Format: Article
Language:English
Published: JMIR Publications 2023-06-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2023/1/e47225

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https://www.jmir.org/2023/1/e47225

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