Eric Balagtas Perez
ABSTRACT
The bias of news articles can strongly affect the opinions and behaviors of readers, especially if they do not consume sets of articles that represent diverse political perspectives. To mitigate media bias and diversify news consumption, we developed Counterweight---a browser extension that presents different perspectives by recommending articles relevant to the current topic. We provide a platform to encourage a more diversified consumption of news and mitigate the negative effects of media bias.
Supplemental Material
Available for Download
- Frank Bentley, Katie Quehl, Jordan Wirfs-Brock, and Melissa Bica. 2019. Understanding online news behaviors. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1--11.Google Scholar
Digital Library
- Dave D'Alessio and Mike Allen. 2000. Media bias in presidential elections: A meta-analysis. Journal of communication 50, 4 (2000), 133--156.Google ScholarCross Ref
- Dieter Frey. 1964. EXPOSURE TO INFORMATION. Advances in experimental social psychology 19 (1964), 41.Google Scholar
- Tim Groseclose and Jeffrey Milyo. 2005. A measure of media bias. The Quarterly Journal of Economics 120, 4 (2005), 1191--1237.Google ScholarCross Ref
- Felix Hamborg, Karsten Donnay, and Bela Gipp. 2019. Automated identification of media bias in news articles: an interdisciplinary literature review. International Journal on Digital Libraries 20, 4 (2019), 391--415.Google ScholarCross Ref
- Dmitry Lagun and Mounia Lalmas. 2016. Understanding user attention and engagement in online news reading. In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining. 113--122.Google ScholarDigital Library
- Souneil Park, Seungwoo Kang, Sangyoung Chung, and Junehwa Song. 2009. NewsCube: delivering multiple aspects of news to mitigate media bias. In Proceedings of the SIGCHI conference on human factors in computing systems. 443--452.Google ScholarDigital Library
- Souneil Park, Minsam Ko, Jungwoo Kim, Ho-Jin Choi, Junehwa Song, and others. 2011. NewsCube2. 0: an exploratory design of a social news website for media bias mitigation. In Workshop on Social Recommender Systems.Google Scholar
Index Terms
- Counterweight: Diversifying News Consumption
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