MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641083229 A) filed by Dr. Ch. Yugandhar; Dr. Sunitha Singam; and K. Ravi Kumar on July 07, 2026, for Artificial Intelligence System For Personalized Credible News Consumption Behavior Analysis Platform.
Inventors include Dr. Ch. Yugandhar; Dr. Sunitha Singam; and K. Ravi Kumar.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to a computer-implemented system for analyzing news consumption behavior using artificial intelligence, machine learning, and credibility assessment techniques. The system collects user interaction data from multiple digital and conventional news platforms, processes demographic and behavioral attributes, and classifies consumption patterns using statistical and predictive models. A credibility engine evaluates news sources through reliability indicators and fact-verification parameters, while a personalization module generates customized news recommendations. The invention further provides dashboards for media organizations and policymakers to understand audience engagement, trust, and platform preferences. The integrated architecture improves news recommendation quality, minimizes misinformation exposure, and supports evidence-based decision making. The invention is applicable in journalism, media analytics, digital publishing, public communication, and policy research.
Disclaimer: Curated by HT Syndication.
