Examining Internet-based Hate Crime Through Artificial Intelligence
Sagar Saxena, Anil Kumar Dixit, Shweta Pandey, Vikrant Pachouri, Srinivas Aluvala, Ashima Juyal · 2024
Internet has emerged as a platform for propagating hatred. This study examines the relationship between the usage of social networking sites and hate crimes. The research findings imply that social media may serve as a channel for the spread of hated digital information and violent behaviors. As well as the usage of Machine learning, which is a subfield of AI to the study of hate crimes and the elements that lead to them on the internet. Further in this study authors in this paper investigate the causes of hate crimes and the elements that contribute to their development. Because of their unique significance, hate crimes require consideration. Crimes motivated by prejudice intimidate the survivor and the victim's society. That is why it necessary to investigate the side of protection and prevention policies of international laws that are given to be implemented by the different international bodies. The article's methodology is based on an extensive review of the literature, study of websites through them the researchers examine importantly, fighting hate crimes requires first monitoring and analyzing their dynamics to properly comprehend their nature. Since the propagation of hateful communication can be an early indicator of violence, especially heinous crimes, curbing hate crime could help minimize its effects. Thus, this paper addresses the targets of hatred on the Internet, presents a framework through which issues may be detected and remedied by emphasizing moral and social responsibility, and outlines potential legislatives to counteract this growing scourge on the Internet.