A Study on Unsecure Conversations Detection Insocial Media Platforms

This survey synthesizes key findings from research papers on online safety, with a focus on Instagram.Topics include risk detection in private conversations amid end-to-end encryption, identification of fake profiles, analysis of hacking behaviors, machine learning for hate speech detection, and the role of impersonators in generating fake content.Collectively, these studies offer insights for developing a project on the detection of harmful conversations, emphasizing the integration of metadata, linguistic cues, and machine learning algorithms in addressing evolving encryption challenges and emerging online risks.