Online antisocial behavior is a social problem and a public health threat. A manifestation of such behavior may be fun for a perpetrator, however, can drive a victim into depression, self-confinement, low self-esteem, anxiety,anger, and suicidal ideation. Online platforms such as Twitter and Facebook can sometimes become breeding grounds for such behavior. These platforms may have measures in place to deter online antisocial behavior, however, such behavior still prevails. Most of the measures rely on users reporting to platforms for intervention. In this paper, we advocate a more proactive approach based on natural language processing and machine learning that can enable online platforms to actively look for signs of antisocial behavior and intervene before it gets out of control. By actively searching for such behavior, social media sites can possibly prevent dire situations that can lead to someone committing suicide.
|Title of host publication||Complex, Intelligent, and Software Intensive Systems|
|Subtitle of host publication||Proceedings of the 13th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2019)|
|Editors||Leonard Barolli, Farookh Khadeer Hussain, Makoto Ikeda|
|Place of Publication||Switzerland|
|Number of pages||12|
|Publication status||Published - 21 Jun 2019|
|Event||13th International Conference on Complex, Intelligent, and Software Intensive Systems : CISIS 2019 - University of Sydney, Sydney, Australia|
Duration: 03 Jul 2019 → 05 Jul 2019
|Name||Advances in Intelligent Systems and Computing|
|Conference||13th International Conference on Complex, Intelligent, and Software Intensive Systems|
|Period||03/07/19 → 05/07/19|
Singh, R., Du, J., Zhang, Y., Wang, H., Miao, Y., Ameri Sianaki, O., & Ul-Haq, A. (2019). A framework for early detection of antisocial behavior on Twitter using natural language processing. In L. Barolli, F. Khadeer Hussain, & M. Ikeda (Eds.), Complex, Intelligent, and Software Intensive Systems: Proceedings of the 13th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2019) (Vol. 993, pp. 484-495). (Advances in Intelligent Systems and Computing; Vol. 993). Springer Nature.