Exploring filter bubbles and automating the discovery of content that allows you to break out of them.

In essence, we attempted to cluster articles on identical or similar events by their relative sentiment polarity to discover articles and sites that exhibited different biases. We presented the result as an interactive reader that would surface alternative sources and reporting on any given topic.

This project was done at hackaTUM in 2016, where it was one of the winners of the wild track. For more information, see the project’s DevPost page.