Vernon-fenwick at SemEval-2019 Task 4: Hyperpartisan News Detection using Lexical and Semantic Features

Vertika Srivastava, Ankita Gupta, Divya Prakash, Sudeep Kumar Sahoo, Rohit R.R, Yeon Hyang Kim

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Abstract
In this paper, we present our submission for SemEval-2019 Task 4: Hyperpartisan News Detection. Hyperpartisan news articles are sharply polarized and extremely biased (onesided). It shows blind beliefs, opinions and unreasonable adherence to a party, idea, faction or a person. Through this task, we aim to develop an automated system that can be used to detect hyperpartisan news and serve as a prescreening technique for fake news detection. The proposed system jointly uses a rich set of handcrafted textual and semantic features. Our system achieved 2nd rank on the primary metric (82.0% accuracy) and 1st rank on the secondary metric (82.1% F1-score), among all participating teams. Comparison with the best performing system on the leaderboard shows that our system is behind by only 0.2% absolute difference in accuracy.
Anthology ID:
S19-2189
Volume:
Proceedings of the 13th International Workshop on Semantic Evaluation
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota, USA
Editors:
Jonathan May, Ekaterina Shutova, Aurelie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1078–1082
Language:
URL:
https://aclanthology.org/S19-2189
DOI:
10.18653/v1/S19-2189
Bibkey:
Cite (ACL):
Vertika Srivastava, Ankita Gupta, Divya Prakash, Sudeep Kumar Sahoo, Rohit R.R, and Yeon Hyang Kim. 2019. Vernon-fenwick at SemEval-2019 Task 4: Hyperpartisan News Detection using Lexical and Semantic Features. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 1078–1082, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
Cite (Informal):
Vernon-fenwick at SemEval-2019 Task 4: Hyperpartisan News Detection using Lexical and Semantic Features (Srivastava et al., SemEval 2019)
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PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/S19-2189.pdf
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