Untrue.News: A New Search Engine For Fake Stories
Abstract
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
Cite
@article{arxiv.2002.06585,
title = {Untrue.News: A New Search Engine For Fake Stories},
author = {Vinicius Woloszyn and Felipe Schaeffer and Beliza Boniatti and Eduardo Cortes and Salar Mohtaj and Sebastian Möller},
journal= {arXiv preprint arXiv:2002.06585},
year = {2020}
}