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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Benefits of Diverse News Recommendations for Democracy: A User Study |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Digital Journalism |
| Publisher | Taylor and Francis |
| Geographical Reach | international |
| ISSN | 2167-0811 |
| Volume | 10 |
| Number | 10 |
| Page Range | 1710 - 1730 |
| Date | 2022 |
| Abstract Text | 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, especially for politically conservative users, and (3) that diverse news recommender systems may nudge users towards preferring news with differing or even opposing views. We conclude that diverse news recommendations can have a depolarizing capacity for democratic societies. |
| Official URL | https://www.tandfonline.com/doi/full/10.1080/21670811.2021.2021804 |
| Digital Object Identifier | 10.1080/21670811.2021.2021804 |
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