Reading news with a purpose: Explaining user profiles for self-actualization

Authors
Publication date 2019
Book title ACM UMAP '19 adjunct
Book subtitle adjunct publication of the 27th Conference on User Modeling, Adaptation and Personalization : June 9-12, 2019, Larnaca, Cyprus
ISBN (electronic)
  • 9781450367110
Event 27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019
Pages (from-to) 241-245
Number of pages 5
Publisher New York, NY: The Association for Computing Machinery
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam School of Communication Research (ASCoR)
  • Faculty of Law (FdR) - Institute for Information Law (IViR)
Abstract

Personalized content provided by recommender systems is an integral part of the current online news reading experience. However, news recommender systems are criticized for their 'black-box' approach to data collection and processing, and for their lack of explainability and transparency. This paper focuses on explaining user profiles constructed from aggregated reading behavior data, used to provide content-based recommendations. The paper makes a first step toward consolidating epistemic values of news providers and news readers. We present an evaluation of an explanation interface reflecting these values, and find that providing users with different goals for self-actualization (i.e., Broaden Horizons vs. Discover the Unexplored) influences their reading intentions for news recommendations.
Document type Conference contribution
Language English
Published at https://doi.org/10.1145/3314183.3323456
Other links https://www.scopus.com/pages/publications/85068728573
Permalink to this page
Back