Publication: Newsalyze: enabling news consumers to understand media bias
Newsalyze: enabling news consumers to understand media bias
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Hamborg, F., Zhukova, A., Donnay, K., & Gipp, B. (2020). Newsalyze: enabling news consumers to understand media bias (A. Association for Computing Machinery, Ed.; pp. 455–456). ACM/IEEE. https://doi.org/10.1145/3383583.3398561
Abstract
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News is a central source of information for individuals to inform themselves on current topics. Knowing a news article's slant and authenticity is of crucial importance in times of "fake news," news bots, and centralization of media ownership. We introduce Newsalyze, a bias-aware news reader focusing on a subtle, yet powerful form of media bias, named bias by word choice and labeling (WCL). WCL bias can alter the assessment of entities reported in the news, e.g., "freedom fighters" vs. "terrorists." At the core of the analysis is a ne
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Creators (Authors)
- Hamborg, Felix
- Zhukova, Anastasia
- Gipp, Bela
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Citations
Hamborg, F., Zhukova, A., Donnay, K., & Gipp, B. (2020). Newsalyze: enabling news consumers to understand media bias (A. Association for Computing Machinery, Ed.; pp. 455–456). ACM/IEEE. https://doi.org/10.1145/3383583.3398561
