Violence Scene Detection from Social Media Networks Using Artificial Intelligence Methods

Social media networks. Despite all of the benefits and positive aspects of social media, it is essential to remember that these platforms are not often a secure environment for communication, exchanging ideas and information, and creating online communities. Social media violence can be divided into three categories: cyberbullying, comments, and violent events such as protests and homicides. Furthermore, social media posts include textual as well as visual content. This work seeks to catalyze academics who want to tackle the study of Violence Detection (VD) and get knowledge of the key problems that need to be resolved in this rapidly developing area, where vd is a specific issue within the more prominent topic of action recognition. The goal of violence detection is to identify whether or not violence happens in a short amount of time automatically and efficiently. There is a wide range of algorithms used to detect violence, including Convolution Neural Networks (CNN), You Only Look Once (YOLO), Support Vector Machines (SVM), etc., which will be presented in this research.