With the ever-increasing ease and speed of opinion exchange, the internet often displays the echo chamber effect. This is exacerbated by a free market: search engines and other data aggregators are monetarily incentivized to primarily show the most popular opinions. We propose a data aggregation, processing and retrieval system to combat this phenomenon in the domain of web news. We developed two applications (web, iOS) that allow users to explore news articles along several uncommon imensions, diversifying them and discovering new aspects of a story. The iOS application works in real time, making for a novel alternative to classic news reader apps. Our user study shows a need for such diversity-aware approaches and judges our solution to be directly useful.