Fake Media Detection Using NLP ,CNN Algorithm And Blockchain

Abstract: News and Media has become one of the most significant components of human existence, based entirely on the most recent generation and traits within the discipline of laptop generations. This area has become a famous platform for sharing information and statistics on a variety of issues, as well as daily reports, and is the most popular generation for transferring and generating data. There are various advantages to living in this environment. however there also are several fake statistics and data that mislead the reader and consumer with a view to acquire the numbers required. One of the system's primary trouble is the shortage of functional data and real statistics on social media data. To resolve this issue, we have got proposed an incorporated system with Various additives of the Convolutional Neural Network (CNN) and Natural Language Processing (NLP) to utilize machine learning analyzing strategies to discover faux statistics and better are anticipating faux money owed and posts. This approach is finished the use of the Reinforcement Learning method. To enhance the safety of this platform, the decentralized blockchain framework became implemented, which incorporates the definition of digital content material authority proofs. More specifically, the purpose of this system is to expand a dependable platform for awaiting and detecting social media networks.

Keywords: CNN (Convolutional neural network) Algorithm,NLP (Natural Language Processing)