Fake Media Detection Based on Natural Language Processing and Blockchain Approaches

Fake Media Detection Based on Natural Language Processing and Blockchain Approaches

Mrs. Nandini S R

Computer Science and Engineering,

BGS Institute of Technology,

BG Nagar, Karnataka

nandinisr@bgsit.ac.in

Harsha M Gowda

Computer Science and Engineering,

BGS Institute of Technology,

BG Nagar, Karnataka

harshamanju234@gmail.com

Abstract — "Fake Media Detection Based on Natural Language Processing and Blockchain Approaches" addresses the pressing issue of fake news proliferation in social media networks and its detrimental impact on information integrity. In response to this challenge, the authors propose an integrated system that combines natural language processing (NLP) techniques with blockchain technology to detect and prevent the spread of fake news effectively. Leveraging machine learning algorithms, particularly reinforcement learning, the system aims to enhance the accuracy of fake news detection by analyzing linguistic patterns and user behavior. Furthermore, the decentralized blockchain framework ensures the security and authenticity of digital content, providing a reliable platform for identifying and mitigating fake news dissemination. Through a comprehensive methodology involving data collection from prominent social media platforms and the implementation of their proposed framework, the authors aim to contribute to the development of robust solutions for combating fake news in the digital age.

Keywords — Natural language processing, blockchain, fake media, reinforcement learning.