MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641081150 A) filed by Ramachandra College Of Engineering on July 01, 2026, for Fake News Detection Using Deep Learning Techniques.
Inventors include M Rama Krishna; P. Harika Prasanna; M. Suma; and Ojha Shiv Bhagwan.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: A fake news detection system utilizes deep learning techniques to identify misinformation in digital content. Textual data from news articles, social media posts, and online sources is collected for analysis. Natural language processing (NLP) methods extract semantic, syntactic, and contextual features. Deep neural networks classify content as genuine or fake with high accuracy. The system can detect patterns, sentiment, and writing style indicative of misinformation. Continuous model training improves detection performance over time. Realtime monitoring allows timely identification of fake news spread. Alerts and reports notify administrators, users, or platfoiTns about suspicious content. Integration with web portals and social media platforms ensures scalable deployment. Historical and live data analytics provide insights into misinformation trends. The system reduces the risk of misinformation influencing public opinion. Automated filtering aids content moderation and decision-making. Privacy and security measures ensure safe handling of sensitive information. The design supports multilingual content analysis for global applicability.
Disclaimer: Curated by HT Syndication.
