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.

Collect Articles

We crawl trusted news sources every day and store the content for comprehensive analysis.

Entity Extraction

We use advanced language models and NLP to extract names, keywords, and concepts from articles.

Frequency Analysis

We count how often each entity appears across sources and track their evolution over time.

Relationships

Entities mentioned together are connected and scored based on co-occurrence patterns.

Visualization

We render interactive charts and visualizations so users can explore trends intuitively.

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