In order to predict the factuality of reporting and the bias for a given news medium, we collect information from multiple relevant sources, which we use to train a classifier.
we collect a rich set of features derived from (i) a sample of articles from the target news medium, (ii) its Wikipedia page if it exists, (iii) its Twitter account if it exists, (iv) the structure of its URL, and (v) information about the Web traffic it has attracted.