Empirical Evaluation of Three Common Assumptions in Building Political Media Bias Datasets
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2020
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DE CHOUDHURY, Munmun, ed. and others. Proceedings of the Fourteenth International AAAI Conference on Web and Social Media. Palo Alto, California: AAAI Press, 2020, pp. 939-943. ISSN 2162-3449. eISSN 2334-0770. ISBN 978-1-57735-823-7
Zusammenfassung
In this work, we empirically validate three common assumptions in building political media bias datasets, which are (i) labelers' political leanings do not affect labeling tasks, (ii) news articles follow their source outlet's political leaning, and (iii) political leaning of a news outlet is stable across different topics. We build a ground-truth dataset of manually annotated article-level political leaning and validate the three assumptions. Our findings warn that the three assumptions could be invalid even for a small dataset. We hope that our work calls attention to the (in)validity of common assumptions in building political media bias datasets.
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320 Politik
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Fourteenth International AAAI Conference on Web and Social Media (ICWSM 2020) (virtual), 8. Juni 2020 - 11. Juni 2020
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GANGULY, Soumen, Juhi KULSHRESTHA, Jisun AN, Haewoon KWAK, 2020. Empirical Evaluation of Three Common Assumptions in Building Political Media Bias Datasets. Fourteenth International AAAI Conference on Web and Social Media (ICWSM 2020) (virtual), 8. Juni 2020 - 11. Juni 2020. In: DE CHOUDHURY, Munmun, ed. and others. Proceedings of the Fourteenth International AAAI Conference on Web and Social Media. Palo Alto, California: AAAI Press, 2020, pp. 939-943. ISSN 2162-3449. eISSN 2334-0770. ISBN 978-1-57735-823-7BibTex
@inproceedings{Ganguly2020Empir-53937,
year={2020},
title={Empirical Evaluation of Three Common Assumptions in Building Political Media Bias Datasets},
url={https://ojs.aaai.org/index.php/ICWSM/article/view/7362},
isbn={978-1-57735-823-7},
issn={2162-3449},
publisher={AAAI Press},
address={Palo Alto, California},
booktitle={Proceedings of the Fourteenth International AAAI Conference on Web and Social Media},
pages={939--943},
editor={De Choudhury, Munmun},
author={Ganguly, Soumen and Kulshrestha, Juhi and An, Jisun and Kwak, Haewoon}
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<dcterms:abstract xml:lang="eng">In this work, we empirically validate three common assumptions in building political media bias datasets, which are (i) labelers' political leanings do not affect labeling tasks, (ii) news articles follow their source outlet's political leaning, and (iii) political leaning of a news outlet is stable across different topics. We build a ground-truth dataset of manually annotated article-level political leaning and validate the three assumptions. Our findings warn that the three assumptions could be invalid even for a small dataset. We hope that our work calls attention to the (in)validity of common assumptions in building political media bias datasets.</dcterms:abstract>
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2021-06-10
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