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

DOI
Publisher DOI
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.
Date Issued
2019-06-09
Publication Type
Conference Item
Subject(s)
Language(s)
en
Author(s)
Sullivan, Emily
Bountouridis, Dimitrios
Harambam, Jaron
Najafian, Shabnam
Loecherbach, Felicia
Kelen, Domokos
Wilkinson, Daricia
Graus, David
Tintarev, Nava
Editor(s)
Papadopoulos, George Angelos
Samaras, George
Wiebelzahl, Stephan
Jannach, Dietmar
Santos, Olga C.
Additional Credits
Journal
Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, UMAP 2019, Larnaca, Cyprus, June 09-12, 2019
Publisher
ACM
ISBN
978-1-4503-6711-0
Title of Event
Access(Rights)
restricted
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