Abstract: An intervention method and system for intervening in online bullying is described. in various embodiments, and an online violence detection system available online on communicatively coupled to multiple databases and the multiple system processors, wherein the online detection system is also communicatively coupled to multiple online communities, multiple data sources, and multiple other online systems and online applications. The method and system determine whether autonomous instant action is appropriate, or whether referring the interaction to a moderation dashboard is appropriate. A moderator dashboard is included in one embodiment.

Abstract: Embodiments include computer-implemented methods and systems for detecting undesirable and potentially harmful online behavior. The embodiments described and claimed could also be applied to detecting any other type of online behavior to be detected, but the descriptions focuses on detecting online violence. More particularly, the embodiments disclosed relate to detecting online violence using symbolic methods of natural language processing (NLP) that utilize and govern the usage of: 1) syntactic parser for analyzing grammatical context of the input text data, 2) unsupervised learning methods for improving selected aspects of the system and adjusting the system to new data sources and guidelines, and 3) statistical classifiers for resolving specific well-defined sub-tasks, in which statistical approaches surpass the symbolic methods.