In order to compute the article-related features, we did the following: (i) we crawled 10-100 articles per website (a total of 94,814), (ii) we computed a feature vector for each article, and (iii) we averaged the feature vectors for the articles from the same website to obtain the final vector of articlerelated features.
if a website is known to have published non-factual information in the past, it is likely to do so in the future.