Paper Info
Title
Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias
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 in-stances 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.
Year
DOI
Venue
2020
10.1145/3383583.3398619
JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020 Virtual Event China August, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-7585-6
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Timo Spinde103.38
felix hamborg2199.34
Karsten Donnay3133.85
Angelica Becerra400.34
Bela Gipp543251.77