Exposure diversity as a design principle for recommender systems

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Helberger , N , Karppinen , K & D'Acunto , L 2018 , ' Exposure diversity as a design principle for recommender systems ' , Information, Communication and Society , vol. 21 , no. 2 , pp. 191-207 . https://doi.org/10.1080/1369118X.2016.1271900

Title: Exposure diversity as a design principle for recommender systems
Author: Helberger, Natali; Karppinen, Kari; D'Acunto, Lucia
Contributor organization: Department of Social Research (2010-2017)
Date: 2018
Language: eng
Number of pages: 17
Belongs to series: Information, Communication and Society
ISSN: 1369-118X
DOI: https://doi.org/10.1080/1369118X.2016.1271900
URI: http://hdl.handle.net/10138/230192
Abstract: Personalized recommendations in search engines, social media and also in more traditional media increasingly raise concerns over potentially negative consequences for diversity and the quality of public discourse. The algorithmic filtering and adaption of online content to personal preferences and interests is often associated with a decrease in the diversity of information to which users are exposed. Notwithstanding the question of whether these claims are correct or not, this article discusses whether and how recommendations can also be designed to stimulate more diverse exposure to information and to break potential ‘filter bubbles’ rather than create them. Combining insights from democratic theory, computer science and law, the article makes suggestions for design principles and explores the potential and possible limits of ‘diversity sensitive design’.
Subject: 518 Media and communications
media diversity
media policy
5141 Sociology
Peer reviewed: Yes
Rights: cc_by_nc_nd
Usage restriction: openAccess
Self-archived version: publishedVersion

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