Benefits of Diverse News Recommendations for Democracy: A User Study

被引：31
|
作者：
Heitz, Lucien [1 ,2 ]
Lischka, Juliane A. [3 ]
Birrer, Alena [4 ]
Paudel, Bibek [1 ,5 ]
Tolmeijer, Suzanne [1 ]
Laugwitz, Laura [3 ]
Bernstein, Abraham [1 ]
机构：
[1] Univ Zurich, Dept Informat, Zurich, Switzerland
[2] Univ Zurich, Digital Soc Initiat, Zurich, Switzerland
[3] Univ Hamburg, Journalism & Commun Studies, Hamburg, Germany
[4] Univ Zurich, Dept Commun & Media Res, Zurich, Switzerland
[5] Stanford Univ, Dept Biomed Data Sci, Stanford, CA 94305 USA
来源：
DIGITAL JOURNALISM | 2022年
关键词：
Algorithmic curation; ethics; journalism; political polarization; public sphere; recommender systems; user preferences; SYSTEMS; EXPOSURE;
D O I：
10.1080/21670811.2021.2021804
中图分类号：
G2 [信息与知识传播];
学科分类号：
05 ; 0503 ;
摘要：
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.
引用
收藏
页码：1710 / 1730
页数：21
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