Publication: Benefits of Diverse News Recommendations for Democracy: A User Study
Benefits of Diverse News Recommendations for Democracy: A User Study
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Heitz, L., Lischka, J. A., Birrer, A., Paudel, B., Tolmeijer, S., Laugwitz, L., & Bernstein, A. (2022). Benefits of Diverse News Recommendations for Democracy: A User Study. Digital Journalism, 10(10), 1710–1730. https://doi.org/10.1080/21670811.2021.2021804
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Abstract
News recommender systems provide a technological architecture that helps shaping public discourse. Following a normative approach to news recommender system design, we test utility and external effects of a diversity-aware news recommender algorithm. In an experimental study using a custom-built news app, we show that diversity-optimized recommendations (1) perform similar to methods optimizing for user preferences regarding user utility, (2) that diverse news recommendations are related to a higher tolerance for opposing views, espec
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Heitz, L., Lischka, J. A., Birrer, A., Paudel, B., Tolmeijer, S., Laugwitz, L., & Bernstein, A. (2022). Benefits of Diverse News Recommendations for Democracy: A User Study. Digital Journalism, 10(10), 1710–1730. https://doi.org/10.1080/21670811.2021.2021804
