Orwellian-times at SemEval-2019 Task 4: A Stylistic and Content-based Classifier

摘要

While fake news detection received quite a bit of attention in recent years, hyperpartisan news detection is still an underresearched topic. This paper presents our work towards building a classification system for hyperpartisan news detection in the context of the Se-mEval2019 shared task 4. We experiment with two different approaches - a more stylistic one, and a more content related one - achieving average results.