Recommenders with a Mission: Assessing Diversity in News Recommendations

Sanne Vrijenhoek, Mesut Kaya, Nadia Metoui, Judith Möller, Daan Odijk, Natali Helberger

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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.

Original languageEnglish
Title of host publicationCHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval
PublisherAssociation for Computing Machinery (ACM)
Pages173-183
Number of pages11
ISBN (Electronic)9781450380553
DOIs
Publication statusPublished - 2021
Event6th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2021 - Virtual, Online, Australia
Duration: 14 Mar 202119 Mar 2021

Publication series

NameCHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

Conference

Conference6th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2021
CountryAustralia
CityVirtual, Online
Period14/03/2119/03/21

Keywords

  • diversity
  • news recommender systems
  • normative framework

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