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        <title>Orwellian-times at SemEval-2019 Task 4: A Stylistic and Content-based Classifier</title>
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            <namePart type="given">Jonathan</namePart>
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            <namePart type="given">Ekaterina</namePart>
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            <namePart type="given">Xiaodan</namePart>
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    <abstract>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 SemEval2019 shared task 4. We experiment with two different approaches - a more stylistic one, and a more content related one - achieving average results.</abstract>
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%0 Conference Proceedings
%T Orwellian-times at SemEval-2019 Task 4: A Stylistic and Content-based Classifier
%A Knauth, Jürgen
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%S Proceedings of the 13th International Workshop on Semantic Evaluation
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F knauth-2019-orwellian
%X 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 SemEval2019 shared task 4. We experiment with two different approaches - a more stylistic one, and a more content related one - achieving average results.
%R 10.18653/v1/S19-2168
%U https://aclanthology.org/S19-2168
%U https://doi.org/10.18653/v1/S19-2168
%P 976-980

Markdown (Informal)

[Orwellian-times at SemEval-2019 Task 4: A Stylistic and Content-based Classifier](https://aclanthology.org/S19-2168) (Knauth, SemEval 2019)

• Orwellian-times at SemEval-2019 Task 4: A Stylistic and Content-based Classifier (Knauth, SemEval 2019)

ACL

• Jürgen Knauth. 2019. Orwellian-times at SemEval-2019 Task 4: A Stylistic and Content-based Classifier. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 976–980, Minneapolis, Minnesota, USA. Association for Computational Linguistics.