Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks

Datasheets for datasets

(2021) Timnit Gebru et al.   COMMUNICATIONS OF THE ACM

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

(2019) Xingyun Liu et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A Systematic Literature Review of Technologies for Suicidal Behavior Prevention

(2018) Manuel A. Franco-Martín et al.   JOURNAL OF MEDICAL SYSTEMS

Extracting psychiatric stressors for suicide from social media using deep learning

(2018) Jingcheng Du et al.   BMC Medical Informatics and Decision Making

Supervised Learning for Suicidal Ideation Detection in Online User Content

(2018) Shaoxiong Ji et al.   COMPLEXITY

Protecting Life While Preserving Liberty: Ethical Recommendations for Suicide Prevention With Artificial Intelligence

(2018) Lindsey C. McKernan et al.   Frontiers in Psychiatry

Suicide and the Internet: Changes in the accessibility of suicide-related information between 2007 and 2014

(2016) Lucy Biddle et al.   JOURNAL OF AFFECTIVE DISORDERS

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

(2015) Hajime Sueki   JOURNAL OF AFFECTIVE DISORDERS

Suicide Ideation of Individuals in Online Social Networks

(2013) Naoki Masuda et al.   PLoS One

Role of media reports in completed and prevented suicide: Werther v. Papageno effects

(2010) Thomas Niederkrotenthaler et al.   BRITISH JOURNAL OF PSYCHIATRY

Depression, desperation, and suicidal ideation in college students: results from the American Foundation for Suicide Prevention College Screening Project at Emory University

(2007) Steven J. Garlow et al.   DEPRESSION AND ANXIETY