MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061176 A) filed by Salem College Of Engineering And Technology on May 14, 2026, for Automated Fake News Detection System Using Natural Language Processing.
Inventors include P. Bharani; Priya D; Rahul S; Ravivarman M; Saikumar P; Sandhiya G; Sangeetha R; and Santhi S.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: An automated fake news detection system using natural language processing (NLP) enhances online information credibility and reduces the spread of misinformation. The system collects textual content from news articles, social media posts, and online platforms. NLP techniques preprocess the text to extract linguistic features, semantic patterns, and contextual meaning. Machine learning and deep learning models analyze the content to classify it as genuine or fake. Real-time alerts notify administrators or users of detected misinformation. The system continuously learns from new data to improve detection accuracy. Data visualization tools provide insights into trending fake news topics and sources. Secure storage ensures integrity and auditability of analyzed content. Multi- platform monitoring supports websites, apps, and social media channels. Automated reporting reduces manual verification effort and enhances decision-making. Historical analysis helps track the evolution of misinformation over time. Low-latency processing ensures prompt detection and intervention. This intelligent system provides a scalable, reliable, and efficient approach to combating fake news online.
Disclaimer: Curated by HT Syndication.
