Intelligent NEWS GARDEN AI-Powered Interactive 3D Globe News explorer based on ensemble fake news detection and geographic visualization

The rapid spread of misinformation on digital platforms has made it increasingly difficult for users to identify reliable news. Most existing news platforms focus only on aggregating content and do not provide built-in mechanisms to verify the credibility of the information they present. This creates a gap where users consume news without knowing whether it is trustworthy or not. To address this issue, this paper presents News Garden, an AI-powered interactive 3D globe news explorer that combines news aggregation, visualization, and fake news detection into a single platform. The system gathers real-time news from multiple sources such as GNews API and GDELT, ensuring broad and diverse coverage across different regions. Each article is analyzed through a multi-dimensional process that includes sentiment detection, category classification, credibility scoring, entity extraction, geographic mapping, and automatic summarization. For credibility assessment, the system uses an ensemble approach that combines a RoBERTa-based model with Google Gemini 2.0 Flash, allowing it to evaluate news more accurately by considering both textual patterns and contextual understanding. An interactive 3D globe interface enables users to explore news geographically, making the experience more intuitive and engaging. Additional features such as a News Verifier tool, analytics dashboard, and dedicated India state-level news coverage further enhance usability and provide deeper insights. The system also highlights trending news using a ranking mechanism based on recency, credibility, and sentiment.

Overall, the proposed system offers a practical and user-friendly solution to reduce the impact of misinformation by integrating AI-based credibility analysis directly into the news browsing experience, helping users make more informed decisions.