Generative AI-Driven Fake News Detection and Rewriting Framework Using GPT For Accurate Media Verification and Content Correction

Abstract

The increasing spread of fake news on
digital platforms has become a serious
issue in society. Existing detection methods
often fail to accurately identify misleading
information. This project presents a
Generative AI-Driven Fake News Detection
and Rewriting Framework to address this
problem. The objective of the system is to
detect fake news and generate corrected
content automatically. Transformer-based
deep learning models are used for news
classification and text rewriting. The
system is developed using Python, Flask,
Hugging Face Transformers, and
PyTorch. Users can submit news articles
through a web interface. The system helps
improve the credibility and reliability of
online information.