Print Email Facebook Twitter Recommenders with a Mission Title Recommenders with a Mission: Assessing Diversity in News Recommendations Author Vrijenhoek, Sanne (Universiteit van Amsterdam) Kaya, M. (TU Delft Web Information Systems) Metoui, N. (TU Delft Information and Communication Technology; Amsterdam School of Communucation Research, Amsterdam) Möller, Judith (Universiteit van Amsterdam) Odijk, Daan (RTL Nederland) Helberger, Natali (Universiteit van Amsterdam) Date 2021 Abstract News recommenders help users to find relevant online content and have the potential to fulfilla crucial role in a democratic society, directing the scarce attention of citizens towards the information that is most important to them. Simultaneously, recent concerns about so-called filter bubbles, misinformation and selective exposure are symptomatic of the disruptive potential of these digital news recommenders. Recommender systems can make or break filter bubbles, and as such can be instrumental in creating either a more closed or a more open internet. Current approaches to evaluating recommender systems are often focused on measuring an increase in user clicks and short-term engagement, rather than measuring the user's longer term interest in diverse and important information. This paper aims to bridge the gap between normative notions of diversity, rooted in democratic theory, and quantitative metrics necessary for evaluating the recommender system. We propose a set ofmetrics grounded in social science interpretations of diversity and suggest ways for practical implementations. Subject diversitynews recommender systemsnormative framework To reference this document use: http://resolver.tudelft.nl/uuid:a1949ffc-4052-4e9c-bbae-4436b88313ae DOI https://doi.org/10.1145/3406522.3446019 Publisher Association for Computing Machinery (ACM) ISBN 9781450380553 Source CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval Event 6th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2021, 2021-03-14 → 2021-03-19, Virtual, Online, Australia Series CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval Part of collection Institutional Repository Document type conference paper Rights © 2021 Sanne Vrijenhoek, M. Kaya, N. Metoui, Judith Möller, Daan Odijk, Natali Helberger Files PDF 3406522.3446019.pdf 1.12 MB Close viewer /islandora/object/uuid:a1949ffc-4052-4e9c-bbae-4436b88313ae/datastream/OBJ/view