Reinforcing Digital Forensics Through Intelligent Behavioural Evidence Analysis: Social Media Hate Speech Profiling

Cumulative boom in the use of social media for crime incidents creates a need to achieve improvement in overall efficiency by developing tools and techniques. The present manuscript discusses this issue by proposing a model which offer a feasible solution to escalate the criminal investigation by performing digital criminal profiling using social media hate speeches content. The proposed expert system will consider the hate speech content analysis along with other digital footprints of the suspects. The achieved analysis along with the proofs collected manually will be fed into the knowledge base of expert system. The system will automatically process the dataset to lower down the list of suspects using intelligent machine learning algorithms. Hate speech content analysis achieved using latest intelligent mechanisms, can perform in the boundaries of Behavioural Evidence Analysis-Standardised (BEA-S) model to create criminal profiling which again act as a base for future investigations. The whole concept and the model are discussed in the paper which surely will upgrade the current investigation process to an innovative stature of digital forensics.