MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611056737 A) filed by Greater Noida Institute Of Technology Engineering Institute on May 04, 2026, for Fake News Detection Using Machine Learning.
Inventors include Ms. Babita; Dr. Ajay Kumar Gupta; Ms. Apurva Singh; Mo Yakub; Manas Asthana; Saif Sidduqui; Riya Kumayan; Sakshi Mishra; Nitin Kumar; Nikhil Kumar; Prince Nigam; and Nikhil Goswami.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a system and method for detecting fake news using artificial intelligence and machine learning techniques. The system receives digital news content and processes it through preprocessing, feature extraction, and classification stages. Semantic features are generated using transformer-based models, and factual correctness is verified using a knowledge graph. A hybrid classification model combines outputs from statistical and deep learning models to improve prediction accuracy. The system further generates an explainable trust score using explainable AI techniques, providing transparency in decision-making. The invention enhances detection accuracy, reduces false positives, and improves reliability by integrating linguistic analysis, factual verification, and interpretability.
Disclaimer: Curated by HT Syndication.
