Through the use of sophisticated natural language processing methods and sentiment analysis, the study aims to locate and classify hate speech in user-generated material. Through an examination of language indicators, thematic trends, and user involvement, the study seeks to identify patterns that might shed light on the causes and expressions of hate speech on WhatsApp and Facebook. To contextualize the results, qualitative evaluations will be carried out in addition to quantitative studies, taking into account the language of hate speech as influenced by social, political, and cultural aspects. The study also explores how well-functioning content moderation systems currently in place might prevent hate speech from spreading and promote a safer online community.https://projectstores.com.ng/hate-speech-on-social-media-analysis-of-facebook-and-whatsapp-languageShare this:FacebookXLike this:Like Loading... Post navigation Two Weeks in P/CVE: Free Resources on Countering Extremism and Hate, June 2024 (II/II) Counter hate speech detection in Youtubeconversations (IPMU2024)