Reading news with a purpose
Explaining user profiles for self-actualization
E. Sullivan (TU Delft - Web Information Systems)
Dimitrios Bountouridis (TU Delft - Web Information Systems)
Jaron Harambam (Universiteit van Amsterdam)
Shabanam Najafian (TU Delft - Web Information Systems)
Felicia Loecherbach (Vrije Universiteit Amsterdam)
Mykola Makhortykh (Universiteit van Amsterdam)
Domokos Kelen (Hungarian Academy of Sciences)
Daricia Wilkinson (Clemson University)
David Graus (FD Mediagroep)
Nava Tintarev (TU Delft - Web Information Systems)
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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.