Published on in Vol 24, No 8 (2022): August
![Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach](https://asset.jmir.pub/assets/54620134ebb4d31c52b2f071c39ae256.png 480w,https://asset.jmir.pub/assets/54620134ebb4d31c52b2f071c39ae256.png 960w,https://asset.jmir.pub/assets/54620134ebb4d31c52b2f071c39ae256.png 1920w,https://asset.jmir.pub/assets/54620134ebb4d31c52b2f071c39ae256.png 2500w)
1 Section for the Science of Complex Systems, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria
2 Unit Suicide Research and Mental Health Promotion, Center for Public Health, Medical University of Vienna, Vienna, Austria
3 Complexity Science Hub Vienna, Vienna, Austria
4 Computational Social Science Lab, Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria
5 Institute for Globally Distributed Open Research and Education, Vienna, Austria
6 Institute of Information Systems Engineering, Vienna University of Technology, Vienna, Austria