Year: 2025
Type: article
Abstract: 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.
Authors: Suraj Kumar S -, Soundarya -
Institution: Rajalakshmi Engineering College
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409478134