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2023 | OriginalPaper | Chapter

8. NewsDeps: Visualizing the Origin of Information in News Articles

Authors : Felix Hamborg, Philipp Meschenmoser, Moritz Schubotz, Philipp Scharpf, Bela Gipp

Published in: Truth and Fake in the Post-Factual Digital Age

Publisher: Springer Fachmedien Wiesbaden

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Abstract

In scientific publications, citations allow readers to assess the authenticity of the presented information and verify it in the original context. News articles, however, for various reasons do not contain citations and only rarely refer readers to further sources. As a result, readers often cannot assess the authenticity of the presented information as its origin is unclear. In times of “fake news,” echo chambers, and centralization of media ownership, the lack of transparency regarding origin, trustworthiness, and authenticity has become a pressing societal issue. We present NewsDeps, the first approach that analyzes and visualizes where information in news articles stems from. NewsDeps employs methods from natural language processing and plagiarism detection to measure article similarity. We devise a temporal-force-directed graph that places articles as nodes chronologically. The graph connects articles by edges varying in width depending on the articles’ similarity. We demonstrate our approach in a case study with two real-world scenarios. We find that NewsDeps increases efficiency and transparency in news consumption by revealing which previously published articles are the primary sources of each given article.

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previous chapter Countering Fake News Technically – Detection and Countermeasure Approaches to Support Users

Of course, in academic publishing additional means are implemented to increase authenticity, for example especially the peer-review process.

News-please currently accesses the raw archive provided by the Common Crawl project. To speed up the search process, we are planning to preprocess the archive and import extracted articles in a database. A first step towards this goal has been implemented in the POLUSA dataset (Gebhard and Hamborg 2020).

This phenomenon is typically studied as media bias by source selection in the social sciences.

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Title: NewsDeps: Visualizing the Origin of Information in News Articles
Authors: Felix Hamborg
Philipp Meschenmoser
Moritz Schubotz
Philipp Scharpf
Bela Gipp
Publisher: Springer Fachmedien Wiesbaden
Book: Truth and Fake in the Post-Factual Digital Age
Print ISBN: 978-3-658-40405-5

Electronic ISBN: 978-3-658-40406-2

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-658-40406-2_8

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