Publication:

Enabling news consumers to view and understand biased news coverage: a study on the perception and visualization of media bias

Date

Date

Date
2020
Conference or Workshop Item
Published version

Citations

Citation copied

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

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12 since deposited on 2021-01-06
2last week
Acq. date: 2025-11-12

Views

1 since deposited on 2021-01-06
Acq. date: 2025-11-12

Additional indexing

Creators (Authors)

Event Title

Event Title

Event Title
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

Event Location

Event Location

Event Location
Virtual Event China

Event Start Date

Event Start Date

Event Start Date
2020-08-01

Event End Date

Event End Date

Event End Date
2020-08-05

Publisher

Publisher

Publisher
ACM/IEEE

Page range/Item number

Page range/Item number

Page range/Item number
389

Page end

Page end

Page end
392

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

news bias, news slant, bias visualization, perception of news

Language

Language

Language
English

Date available

Date available

Date available
2021-01-06

ISBN or e-ISBN

ISBN or e-ISBN

ISBN or e-ISBN
978-1-4503-7585-6

Additional Information

Additional Information

Additional Information
JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020 Autor der Publikation: Huang, Ruhua Publisher: Association for Computing Machinery, New York, NY

OA Status

OA Status

OA Status
Green

Free Access at

Free Access at

Free Access at
Unspecified

Related URLs

Related URLs

Related URLs

Metrics

Downloads

12 since deposited on 2021-01-06
2last week
Acq. date: 2025-11-12

Views

1 since deposited on 2021-01-06
Acq. date: 2025-11-12

Citations

Citation copied

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

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