MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079019 A) filed by Mrs. P. Nithya; Ms. R. Dhivya; C. E. Rajaprabha; Negalurmath Vinayakaswami; K. Kanniyarasu; Mrs. S. P. Panimalar; T. Jayasri; A Suresh Kumar; Mrs. T. Vasumathi; and M. Devendran on June 26, 2026, for System And Method For Machine Learning-Based Fake News Detection.
Inventors include Mrs. P. Nithya; Ms. R. Dhivya; C. E. Rajaprabha; Negalurmath Vinayakaswami; K. Kanniyarasu; Mrs. S. P. Panimalar; T. Jayasri; A Suresh Kumar; Mrs. T. Vasumathi; and M. Devendran.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT SYSTEM AND METHOD FOR MACHINE LEARNING-BASED FAKE NEWS DETECTION The invention discloses a system and method for detecting fake news using machine learning techniques. The system comprises a data ingestion module, preprocessing unit, feature extraction engine, classification model, and interpretation interface. News articles are collected from diverse online sources and preprocessed through text normalization and tokenization. Features are extracted using natural language processing, semantic embeddings, and metadata analysis. A hybrid classification model combining convolutional neural networks and transformer architectures is employed, with ensemble learning ensuring robustness. The interpretation interface provides transparency by highlighting influential features in classification decisions. The invention addresses limitations of prior art by offering improved accuracy, scalability, and adaptability to evolving misinformation strategies. Applications include deployment across digital platforms, news agencies, and governmental organizations to safeguard information integrity.
Disclaimer: Curated by HT Syndication.
