Real Time Fake News Detection System Using Multinominal Naïve Baiyes

Abstract - Fake news has become a significant challenge in the digital age, spreading misinformation that impacts society. A Fake News Detection System aims to identify and prevent the spread of false or misleading content by analyzing news articles, social media posts, and other online information the system is designed to be fast, accurate, and secure, ensuring user privacy and compliance with data protection laws. It also learns and improves over time using new data and user feedback. By providing real-time detection and insights, the system helps individuals, organizations, and platforms combat misinformation effectively and promotes the sharing of truthful information. Index Terms: —Detect Fake or real News, Python Django, Naïve Bayes Algorithm.