Turning Headlines into Insights
Explore how researchers are using the Newsmatics News Index to analyze media trends, uncover patterns, and support their work. These examples show the platform in action—turning news data into valuable insights across fields.
This system leverages NLP and machine learning to analyze vast news data, visualize complex entity relationships, and identify subtle, time-shifted correlations between media coverage and market impact.
The project aims to integrate a reliable full-stack system that fetches and embeds Newsmatics articles, enhances vector similarity search, and upgrades trust metrics to better address disinformation.
The project delivers a full-stack system for article embedding, improved vector search, and trust metrics, with future plans for trend prediction, advanced search, and global content expansion.