Fake News Buster : AI-Driven Detection and Elimination of Misinformation

News Guard, an innovative platform, aims to combat misinformation by employing advanced Natural Language Processing (NLP) techniques, specifically Recurrent Neural Networks (RNNs}.This research focuses on enhancing the accuracy of distinguishing between fake and real news articles.By analysing linguistic patterns, semantic structures, and contextual clues embedded in textual data, the RNN model developed by News Guard demonstrates promising results in classifying news articles. This abstract highlights the pivotal role of NLP-driven RNNs in the ongoing battle against misinformation, offering a robust framework for identifying and verifying trustworthy news sources amidst the deluge of information on the internet.