Revealing Media Bias in News Articles - Felix Hamborg

Revealing Media Bias in News Articles

NLP Techniques for Automated Frame Analysis

(Autor)

Buch | Softcover
XIII, 238 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-17695-1 (ISBN)
42,79 inkl. MwSt

This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage.

The book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias.

This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint.

Felix Hamborg is a research group leader at the Heidelberg Academy of Sciences and Humanities and a visiting researcher at the Humboldt University of Berlin, Germany. His research focuses on the automated identification of media bias in news articles and combines approaches from deep learning, natural language processing, information visualization, and political science. He completed his PhD at the University of Konstanz and was awarded several Best Paper / Outstanding Paper awards at renowned conferences like JCDL, CIKM, or the iConference. 

1. Introduction.- 2. Media Bias Analysis.- 3. Person-Oriented Framing Analysis.- 4. Target Concept Analysis.- 5. Frame Analysis.- 6. Prototype.- 7. Conclusion. 

Erscheinungsdatum
Zusatzinfo XIII, 238 p. 30 illus., 21 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 387 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte content analysis • Deep learning • Frame Analysis • Information Retrieval • media bias • Natural Language Processing • open access • Social Aspects of Computing
ISBN-10 3-031-17695-2 / 3031176952
ISBN-13 978-3-031-17695-1 / 9783031176951
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
von absurd bis tödlich: Die Tücken der künstlichen Intelligenz

von Katharina Zweig

Buch | Softcover (2023)
Heyne (Verlag)
20,00
dem Menschen überlegen – wie KI uns rettet und bedroht

von Manfred Spitzer

Buch | Hardcover (2023)
Droemer (Verlag)
24,00