Abstract: Hate crimes on social media platforms pose significant challenges in maintaining a safe and inclusive online environment. This research paper proposes a machine learning approach to detect and mitigate hate crimes on Facebook. By leveraging advanced natural language processing techniques and deep learning algorithms, the study aims to develop an automated system that can effectively identify and address hate speech, discriminatory content, and harmful activities on the platform.

The research highlights the importance of proactive measures in combating hate crimes, protecting user well-being, and fostering a positive online community.

PDF | DOI: 10.17148/IJARCCE.2023.12672

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