Preserving Privacy of Social Media Data Using Artificial Intelligence Techniques

Abstract

Social media has a huge volume and variety of big data, which has enabled machine learning (ML) procedures and artificial intelligence (AI) frameworks. A few types of research have featured the dangers of revealing large amounts of information at various stages. The main aim is to connect the exploration and normalisation edge to build the consistency and proficiency of AI framework advancements ensuring user loyalty and moving towards a serious level of reliability. User security insight and the standards of its administrative assurance decide how the tech field works. It also introduces ways to deal with AI while demonstrating distinctions that are a result of comprehension of security, increasing user data privacy concerns and guidelines identified with information protection. The effect of AI systems on the relationship between clients and organisations has been stressed and examined concerning guidelines and client impression of security. With the rise of big data and AI, this issue of privacy of data has become significantly important.