Analyzing the Dynamics of Hate Speech on Online Platforms (Social Networks Analysis and Mining)

Online hate speech is becoming a bigger problem, since hate crimes motivated by malevolent campaigns are on the rise in many nations. Although detecting hate speech has become a major area of research, little is known about how it originates and spreads in social networks. For hate and abusive discourse pertaining to Indian politics and religion, the study creates a benchmark dataset. With a large user base of politically engaged people, the dataset captures the subtleties of hate speech dissemination. By analyzing the data, sophisticated topic modeling tools uncover underlying themes and user responses. Human reactions, conversation timing, and hashtag comparison patterns are all displayed in the analysis. This gives researchers, social media firms, and legislators important information about how to curb hate speech and encourage constructive online interactions.

https://link.springer.com/chapter/10.1007/978-3-031-78554-2_19