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The association of suicide-related Twitter use with suicidal behaviour: A cross-sectional study of young internet users in Japan

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References

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2013The Power of the Web: A Systematic Review of Studies of the Influence of the Internet on Self-Harm and Suicide in Young People369 cited
2013Tracking Suicide Risk Factors Through Twitter in the US342 cited
2005Lifetime risk of suicide ideation and attempts in an Australian community: Prevalence, suicidal process, and help-seeking behaviour252 cited
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2013Online Communities and Social Computing124 cited

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2018Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning120 cited
2019Computational socioeconomics115 cited
2020A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media114 cited
2020Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media104 cited
2022Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification104 cited
2019

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Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention

95 cited

2015Characterizing Sleep Issues Using Twitter83 cited

2015Creating a Chinese suicide dictionary for identifying suicide risk on social media72 cited

2021PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media57 cited

2021Does social media use confer suicide risk? A systematic review of the evidence57 cited

2021Towards Ordinal Suicide Ideation Detection on Social Media55 cited

2016Identifying depressive users in Twitter using multimodal analysis53 cited

2021Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning49 cited

2023Comparison of Impressions of COVID-19 Vaccination and Influenza Vaccination in Japan by Analyzing Social Media Using Text Mining13 cited