Publication: Enabling news consumers to view and understand biased news coverage: a study on the perception and visualization of media bias
Enabling news consumers to view and understand biased news coverage: a study on the perception and visualization of media bias
Date
Date
Date
Citations
Spinde, T., Hamborg, F., Donnay, K., Becerra, A., & Gipp, B. (2020). Enabling news consumers to view and understand biased news coverage: a study on the perception and visualization of media bias (A. Association for Computing Machinery, Ed.; pp. 389–392). ACM/IEEE. https://doi.org/10.1145/3383583.3398619
Abstract
Abstract
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
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Publisher
Publisher
Publisher
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Keywords
Language
Language
Language
Date available
Date available
Date available
ISBN or e-ISBN
ISBN or e-ISBN
ISBN or e-ISBN
Additional Information
Additional Information
Additional Information
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Metrics
Downloads
Views
Citations
Spinde, T., Hamborg, F., Donnay, K., Becerra, A., & Gipp, B. (2020). Enabling news consumers to view and understand biased news coverage: a study on the perception and visualization of media bias (A. Association for Computing Machinery, Ed.; pp. 389–392). ACM/IEEE. https://doi.org/10.1145/3383583.3398619