We used the <cite>BuzzedFeed-Webis Fake News Corpus 2016</cite> collected by <cite>[5]</cite> whose articles were labeled with respect to three political orientations: mainstream, left-wing, and right-wing (see Table 2 ). During initial data analysis and prototyping we identified a variety of issues with the <cite>original dataset:</cite> we cleaned the data excluding articles with empty or bogus texts, e.g. 'The document has moved here' (23 and 14 articles respectively).