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Identification and Analysis of Media Bias in News Articles

Type of Publication: Contribution to a conference collection
Publication status: Published
Author: Hamborg, Felix; Meuschke, Norman; Aizawa, Akiko; Gipp, Bela
Year of publication: 2017
Conference: 15th International Symposium of Information Science (ISI 2017), Mar 13, 2017 - Mar 15, 2017, Berlin, Germany
Published in: Everything changes, everything stays the same : Understanding Information Spaces; Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin, Germany, 13th-15th March 2017 / Gäde, Maria et al. (ed.). - Glückstadt : Verlag Werner Hülsbusch, 2017. - (Schriften zur Informationswissenschaft ; 70). - pp. 224-236. - ISSN 0938-8710. - ISBN 978-3-86488-117-6
Summary:
Depending on the news source, a reader can be exposed to a different narrative and conflicting perceptions for the same event. Today, news aggregators help users cope with the large volume of news published daily. However, aggregators focus on presenting shared information, but do not expose the different perspectives from articles on same topics. Thus, users of such aggregators suffer from media bias, which is often implemented intentionally to influence public opinion. In this paper, we present NewsBird, an aggregator that presents shared and different information on topics. Currently, NewsBird reveals different perspectives on international news. Our system has led to insights about media bias and news analysis, which we use to propose approaches to be investigated in future research. Our vision is to provide a system that reveals media bias, and thus ultimately allows users to make their own judgement on the potential bias inherent in news.
Subject (DDC): 004 Computer Science
Keywords: news aggregation; framing; content analysis; media bias
Bibliography of Konstanz: Yes

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HAMBORG, Felix, Norman MEUSCHKE, Akiko AIZAWA, Bela GIPP, 2017. Identification and Analysis of Media Bias in News Articles. 15th International Symposium of Information Science (ISI 2017). Berlin, Germany, Mar 13, 2017 - Mar 15, 2017. In: GÄDE, Maria, ed. and others. Everything changes, everything stays the same : Understanding Information Spaces; Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin, Germany, 13th-15th March 2017. Glückstadt:Verlag Werner Hülsbusch, pp. 224-236. ISSN 0938-8710. ISBN 978-3-86488-117-6

@inproceedings{Hamborg2017Ident-41842, title={Identification and Analysis of Media Bias in News Articles}, year={2017}, number={70}, isbn={978-3-86488-117-6}, issn={0938-8710}, address={Glückstadt}, publisher={Verlag Werner Hülsbusch}, series={Schriften zur Informationswissenschaft}, booktitle={Everything changes, everything stays the same : Understanding Information Spaces; Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin, Germany, 13th-15th March 2017}, pages={224--236}, editor={Gäde, Maria}, author={Hamborg, Felix and Meuschke, Norman and Aizawa, Akiko and Gipp, Bela} }

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