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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1656) Depression and Mood Disorders; Suicide Prevention (1383)

Published on in Vol 19, No 12 (2017): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8729, first published .
Designing Microblog Direct Messages to Engage Social Media Users With Suicide Ideation: Interview and Survey Study on Weibo

Designing Microblog Direct Messages to Engage Social Media Users With Suicide Ideation: Interview and Survey Study on Weibo

Designing Microblog Direct Messages to Engage Social Media Users With Suicide Ideation: Interview and Survey Study on Weibo

Authors of this article:

Ziying Tan1, 2 Author Orcid Image ;   Xingyun Liu1, 3 Author Orcid Image ;   Xiaoqian Liu1 Author Orcid Image ;   Qijin Cheng4 Author Orcid Image ;   Tingshao Zhu1 Author Orcid Image
Article Authors Cited by (19) Tweetations (8) Metrics

Journals

  1. Pourmand A, Roberson J, Caggiula A, Monsalve N, Rahimi M, Torres-Llenza V. Social Media and Suicide: A Review of Technology-Based Epidemiology and Risk Assessment. Telemedicine and e-Health 2019;25(10):880 View
  2. Tang Y, Hew K, Yuan X, Qiao C. How social instant messaging questions affect replies: a randomised controlled experiment. Behaviour & Information Technology 2020:1 View
  3. Sanchez C, Grzenda A, Varias A, Widge A, Carpenter L, McDonald W, Nemeroff C, Kalin N, Martin G, Tohen M, Filippou-Frye M, Ramsey D, Linos E, Mangurian C, Rodriguez C. Social media recruitment for mental health research: A systematic review. Comprehensive Psychiatry 2020;103:152197 View
  4. Liu D, Fu Q, Wan C, Liu X, Jiang T, Liao G, Qiu X, Liu R. Suicidal Ideation Cause Extraction From Social Texts. IEEE Access 2020;8:169333 View
  5. Lopez‐Castroman J, Moulahi B, Azé J, Bringay S, Deninotti J, Guillaume S, Baca‐Garcia E. Mining social networks to improve suicide prevention: A scoping review. Journal of Neuroscience Research 2020;98(4):616 View
  6. Asongu S, Nwachukwu J, Orim S, Pyke C. Crime and social media. Information Technology & People 2019;32(5):1215 View
  7. Asongu S, Nwachukwu J, Orim S, Pyke C. Crime and Social Media. SSRN Electronic Journal 2019 View
  8. Liu X, Liu X, Sun J, Yu N, Sun B, Li Q, Zhu T. Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors. Journal of Medical Internet Research 2019;21(5):e11705 View
  9. Ji S, Pan S, Li X, Cambria E, Long G, Huang Z. Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Transactions on Computational Social Systems 2021;8(1):214 View
  10. Szlyk H, Tan J. The Role of Technology and the Continuum of Care for Youth Suicidality: Systematic Review. Journal of Medical Internet Research 2020;22(10):e18672 View
  11. Rassy J, Bardon C, Dargis L, Côté L, Corthésy-Blondin L, Mörch C, Labelle R. Information and Communication Technology Use in Suicide Prevention: Scoping Review. Journal of Medical Internet Research 2021;23(5):e25288 View
  12. TAKAHASHI A, SUEKI H, ITO J. Rapid E-mail Response to First-Contact E-mails Increases Consultation Continuation Rates for Suicide Prevention. Asian Journal of Human Services 2021;20(0):19 View
  13. Xin M, Petrovic J, Zhang L, Yang X. Relationships between negative life events and suicidal ideation among youth in China: The direct and moderating effects of offline and online social support from gender perspective. Frontiers in Psychology 2022;13 View
  14. Roemmich K, Andalibi N. Data Subjects' Conceptualizations of and Attitudes Toward Automatic Emotion Recognition-Enabled Wellbeing Interventions on Social Media. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1 View
  15. Yan Y, Li J, Liu X, Li Q, Yu N. Identifying Reddit Users at a High Risk of Suicide and Their Linguistic Features During the COVID-19 Pandemic: Growth-Based Trajectory Model. Journal of Medical Internet Research 2024;26:e48907 View
  16. Shukla S, Singh M. Stacked Classification Approach using Optimized Hybrid Deep Learning Model for Early Prediction of Behaviour Changes on Social Media. ACM Transactions on Asian and Low-Resource Language Information Processing 2024;23(11):1 View

Books/Policy Documents

  1. Szlyk H, Singh T, Reyes-Portillo J. Handbook of Youth Suicide Prevention. View