Let's highlight and understand the complex relationships surrounding the information that's presented in the News. Let's tap into the internet and visualize the information networks on the World Wide Web. Let's CrossCheck.
With CrossCheck, we present a new algorithmic approach to providing context around the information we read. We start by scraping articles from top news sources across all categories in real time. In the last five minutes, hundreds of news articles from top sources have been parsed and sourced to our servers.
We constantly classify these articles into groups of verified articles. When a user visits an article we haven’t seen before, we determine whether the article fits into an existing group of verified articles using machine learning algorithms we developed.
Our algorithm has a 96% accuracy.
Our current product is a Google Chrome extension (see attached video), and to get updates on new products, sign up above .