Computational Analysis of Online Hate Content using Cognitive -AI

Abstract

As the hate content is expressed based on the identity of an individual, it is influencing communal violence in society. The inappropriate content can be detected and analyzed using automated AI systems. The purpose of this paper is to study the role of AI systems in the detection of online hate content and how the cognitive processes affect the behavior of an individual. Therefore, using related keywords in the research domain, the published articles are searched through different search engines. The information from the associated articles and sources is reported in the paper. The literature review revealed that social media platforms could use AI systems to detect and analyze online hate content. It has been observed that the cognitive process affects both the perpetrators and the victims of online hate content. The paper also highlights some of the challenges in controlling online hate content. The paper concludes with a note that the hate content can be reduced by building robust AI systems and healthier cognitive processes of an individual.