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Contact

Felix Hamborg

University of Konstanz
Dept. of Computer and Information Science
Building Z, Room 725
Box 76, 78457 Konstanz, Germany

Phone: +49 (0)7531 88 4805

Felix.Hamborg{at}uni-konstanz.de

Media Bias Analysis - slanted news coverage identification

The following group of projects seeks to (semi-)automatically identify slanted news coverage, i.e., media bias, in news articles. Fundamentally, we aim to approach the issue of media bias by combining the expertise of two academic disciplines: computer science and the social sciences. Specifically, we employ automated and efficient text analysis methods, such as natural language processing (NLP), with manual and effective media bias analysis concepts, such as frame analysis.

  • news-please is an open source, easy-to-use news crawler that extracts structured information from almost any news website. It can follow recursively internal hyperlinks and read RSS feeds to fetch both most recent and also old, archived articles.
  • NewsBird is a news aggregator that implements matrix-based news aggregation (MNA). In MNA, users explore different perspectives in news coverage by visually inspecting a two-dimensional matrix, which, for example, shows the main media perspective within one country about another country.
  • Givem5W1H is a system that extracts the journalistic five W and one H (5W1H) questions from news articles, i.e., who did what, when, where, why, and how.

Our group has been awarded a 3-year research grant by the Heidelberger Akademie der Wissenschaften for our interdisciplinary research on media bias.

RELATED PUBLICATIONS

  1. Illegal Aliens or Undocumented Immigrants? Towards the Automated Identification of Bias by Word Choice and Labeling
    F. Hamborg, A. Zhukova, and B. Gipp
    in Proceedings of the iConference 2019, 2019
    PDF

  2. Automated Identification of Media Bias in News Articles: An Interdisciplinary Literature Review
    F. Hamborg, K. Donnay, and B. Gipp
    International Journal on Digital Libraries (IJDL), 2018
    PDF
  3. Bias-aware News Analysis using Matrix-based News Aggregation
    F. Hamborg, N. Meuschke, and B. Gipp
    International Journal on Digital Libraries (IJDL), 2018
    PDF
  4. Extraction of Main Event Descriptors from News Articles by Answering the Journalistic Five W and One H Questions
    F. Hamborg, C. Breitinger, M. Schubotz, S. Lachnit, and B. Gipp
    in Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2018
    PDF
  5. news-please: A Generic News Crawler and Extractor
    F. Hamborg, N. Meuschke, C. Breitinger, and B. Gipp
    in Proceedings of the 15th International Symposium on Information Science, 2017
    PDF

MEDIA COVERAGE

The Heidelberger Akademie der Wissenschaften has awarded our group a 3-year research grant for our joint project with Jun.-Prof. Dr. Karsten Donnay, University of Konstanz:

„Fake News and Collective...

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An article about our research on the automated identification of media bias appeared in uni'kon #68.

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Felix Hamborg and Norman Meuschke received the Best Student Paper Award for their paper Matrix-based News Aggregation: Exploring different News Perspectives; at the A* ranked Joint Conference on...

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zuletzt bearbeitet am: 16.04.2019