CRIMINAL BEHAVIOR ANALYSIS PREDICTION MODEL: USING SOCIAL MEDIA

ABSTRACT Social networking has dramatically transformed how people present themselves online, creating a massive repository of data that provides deep insights into personality traits and behavioral tendencies. The focus of this research paper is to evolve the criminal behavior prediction model by utilizing digital footprints on social media platforms such as Instagram to predict potential criminal behavior in real life. By analyzing the usergenerated content like posts, comments, and interactions, this model is expected to detect trends, behavioral indications, and risk factors related to criminal behavior. This research paper looks at the analysis of criminal behavior and the patterns created on social media focus is on finding AI, forensic linguistics, and cybersecurity methods for detection and prevention. On the subject of online harassment, hate speech, and cybercrime, studies help to support the role of AI in criminal justice. This study illustrates how criminal elements both have a platform for nefarious activities and serve as a source for developing better means of digital law enforcement, providing insight into more efficient analyses of criminal behavior by AI. Keywords: Criminal Behavior, Social Media, Hate Speech, Online Harassment, AI in Criminal Justice, Cybersecurity, Forensic Linguistics, Digital Investigations