Publikation: Matrix-based news aggregation : exploring different news perspectives
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2017
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JCDL '17 Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries. Piscataway, USA: IEEE Press, 2017, pp. 69-78. ISBN 978-1-5386-3861-3. Available under: doi: 10.1109/JCDL.2017.7991561
Zusammenfassung
News aggregators capably handle the large amount of news that is published nowadays. However, these systems focus on identifying and presenting important, common information in news, but do not reveal different perspectives on the same topic. Differences in the content or presentation of news are referred to as media bias, which can have severe negative effects. Given their analysis approach, current news aggregators cannot effectively reveal media bias. To address this problem, we present matrix-based news analysis (MNA), a novel approach for news exploration that helps users gain a broad and diverse news understanding by presenting various perspectives on the same news topic. Additionally, we present NewsBird, a news aggregator that implements MNA for international news topics. The results of a case study demonstrate that NewsBird broadens the user's news understanding while providing similar news aggregation functionalities as established systems.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Media bias, news aggregation, frame analysis, content analysis, Google News.
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JCDL '17 Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries, 19. Juni 2017 - 23. Juni 2017, Toronto, Canada
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HAMBORG, Felix, Norman MEUSCHKE, Bela GIPP, 2017. Matrix-based news aggregation : exploring different news perspectives. JCDL '17 Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries. Toronto, Canada, 19. Juni 2017 - 23. Juni 2017. In: JCDL '17 Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries. Piscataway, USA: IEEE Press, 2017, pp. 69-78. ISBN 978-1-5386-3861-3. Available under: doi: 10.1109/JCDL.2017.7991561BibTex
@inproceedings{Hamborg2017Matri-43480,
year={2017},
doi={10.1109/JCDL.2017.7991561},
title={Matrix-based news aggregation : exploring different news perspectives},
isbn={978-1-5386-3861-3},
publisher={IEEE Press},
address={Piscataway, USA},
booktitle={JCDL '17 Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries},
pages={69--78},
author={Hamborg, Felix and Meuschke, Norman and Gipp, Bela}
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<dcterms:abstract xml:lang="eng">News aggregators capably handle the large amount of news that is published nowadays. However, these systems focus on identifying and presenting important, common information in news, but do not reveal different perspectives on the same topic. Differences in the content or presentation of news are referred to as media bias, which can have severe negative effects. Given their analysis approach, current news aggregators cannot effectively reveal media bias. To address this problem, we present matrix-based news analysis (MNA), a novel approach for news exploration that helps users gain a broad and diverse news understanding by presenting various perspectives on the same news topic. Additionally, we present NewsBird, a news aggregator that implements MNA for international news topics. The results of a case study demonstrate that NewsBird broadens the user's news understanding while providing similar news aggregation functionalities as established systems.</dcterms:abstract>
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