NewsScan is a plugin that analyzes news articles and presents the user with six information nutrition attributes for each article he wants to read. These are source popularity, article popularity, ease of reading, sentiment, objectivity, and bias.

These attributes are measured by analyzing news articles from the internet using a sophisticated neural network.

The user will be supported in assessing if he wants to read the article in question or not.

This is done using a neural network that classifies articles and also predicts if it is biased or not. This prediction is based on the article text and the article's popularity.