Paper Contents
Abstract
The growing use of digital media has sped up the dissemination of misinformation, making it harder for the public to separate reliable news from false information.This project introduces "TruePulse," a full-stack web application that aims to counter misinformation by offering an AI-based solution for analyzing news articles. Thesystem utilizes Python and Flask backend powered by advanced Natural Language Processing (NLP) models from the Hugging Face library to conduct sentimentanalysis and fake news detection.The suggested system converts raw news content to complete analysis through the use of algorithms like RoBERTa and DistilBERT for sentiment analysis, anddomain-specific models for detecting fake news. The system was able to have stable performance with around 78-80% accuracy rates in detecting fake news, whichmakes it deployable in real-world scenarios. In contrast to conventional manual verifications, this project makes use of contemporary web technologies like React,TypeScript, and incorporates external verification via NewsAPI.The multi-dimensional analysis is aggregated into a holistic "Trust Score" that enables users to critically evaluate information and make informed choices in themodern media environment.
Copyright
Copyright © 2025 Kotiwale Sumesh Singh. This is an open access article distributed under the Creative Commons Attribution License.
