TrustNet

TrustNet is an innovative project aimed at combating the pervasive issue of fake news, particularly within the domain of sports journalism on social media platforms. By leveraging machine learning, social network analysis, and blockchain technology, the project seeks to create a robust system for detecting and mitigating misinformation in video content. TrustNet’s approach involves the development of a machine learning model that combines natural language processing with visual recognition to identify fake news, complemented by a blockchain-based system to verify the authenticity of news articles. This project addresses a critical gap in the current digital landscape, aiming to enhance media integrity and public trust.