  In this paper, we demonstrate Untrue News, a new search engine for fake
stories. Untrue News is easy to use and offers useful features such as: a) a
multi-language option combining fake stories from different countries and
languages around the same subject or person; b) an user privacy protector,
avoiding the filter bubble by employing a bias-free ranking scheme; and c) a
collaborative platform that fosters the development of new tools for fighting
disinformation. Untrue News relies on Elasticsearch, a new scalable analytic
search engine based on the Lucene library that provides near real-time results.
We demonstrate two key scenarios: the first related to a politician - looking
how the categories are shown for different types of fake stories - and a second
related to a refugee - showing the multilingual tool. A prototype of Untrue
News is accessible via http://untrue.news
