Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias
2021-05-20 | conference paper
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Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias
Spinde, T.; Hamborg, F.; Donnay, K.; Becerra, A. & Gipp, B. (2021)
In:Huang, Ruhua; Wu, Dan; Marchionini, Gary; He, Daqing; Cunningham, Sally Jo; Hansen, Preben (Eds.), Proceedings pp. 389-392. JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020, Virtual Event.
ACM Digital Library. DOI: https://doi.org/10.1145/3383583.3398619
Documents & Media
Details
- Authors
- Spinde, Timo; Hamborg, Felix; Donnay, Karsten; Becerra, Angelica; Gipp, Bela
- Editors
- Huang, Ruhua; Wu, Dan; Marchionini, Gary; He, Daqing; Cunningham, Sally Jo; Hansen, Preben
- Abstract
- Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors. Many researchers focus on automatically detecting and identifying media bias in the news, but only very few studies exist that systematically analyze how theses biases can be best visualized and communicated. We create three manually annotated datasets and test varying visualization strategies. The results show no strong effects of becoming aware of the bias of the treatment groups compared to the control group, although a visualization of hand-annotated bias communicated bias instances more effectively than a framing visualization. Showing participants an overview page, which opposes different viewpoints on the same topic, does not yield differences in respondents' bias perception. Using a multilevel model, we find that perceived journalist bias is significantly related to perceived political extremeness and impartiality of the article.
- Issue Date
- 20-May-2021
- Publisher
- ACM Digital Library
- Conference
- JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020
- ISBN
- 978-1-4503-7585-6
- Conference Place
- Virtual Event
- Event start
- 2020-08-01
- Event end
- 2020-08-05