How It Works

WhatIsGoing analyzes daily news articles to uncover hidden patterns and trending entities — like people, keywords, places, or organizations — that shape current events.

1. Collect Articles: We crawl trusted news sources every day and store the content.
2. Entity Extraction: We use language models and NLP to extract names, keywords, and concepts from articles.
3. Frequency Analysis: We count how often each entity appears across sources and track them over time.
4. Relationships: Entities mentioned together are connected and scored for co-occurrence.
5. Visualization: We render charts and word clouds so users can explore trends intuitively.

The goal is to make media coverage more transparent and help people see what's really going on — beyond just headlines.