Fake Media Detection Using NLP and Blockchain Framework

Abstract

The spread of false information on social media presents serious risks to the accuracy of information on a variety of platforms. Conventional detection techniques frequently find it difficult to keep up with the increasing complexity of fake content. This study presents a novel method of detecting false media by fusing Blockchain-based frameworks with Natural Language Processing (NLP) approaches. The suggested method analyzes and finds misleading patterns in text, photos, and videos by using natural language processing (NLP) techniques. In order to provide a decentralized and safe verification system, Blockchain technology is also used to guarantee the immutability and transparency of the detection process. Through this integration of technology, the framework provides a reliable and scalable way to identify and stop the spread of false information. In order to improve the precision, reliability, and traceability of material in digital ecosystems, this research shows how NLP and Blockchain can be integrated.