Reading news with a purpose

Explaining user profiles for self-actualization

Conference paper (2019)

Authors

Emily Sullivan Web Information Systems - EEMCS
D. Bountouridis Web Information Systems - EEMCS
Jaron Harambam Universiteit van Amsterdam
S. Najafian Web Information Systems - EEMCS
Felicia Loecherbach Vrije Universiteit Amsterdam
Mykola Makhortykh Universiteit van Amsterdam
Domokos Kelen Hungarian Academy of Sciences
Daricia Wilkinson Clemson University
David Graus FD Mediagroep
N. Tintarev Web Information Systems - EEMCS
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2019 Emily Sullivan, D. Bountouridis, Jaron J. Harambam, S. Najafian, Felicia Loecherbach, Mykola Makhortykh, Domokos Kelen, Daricia Wilkinson, David Graus, N. Tintarev
DOI: https://doi.org/10.1145/3314183.3323456
Explainability User control News recommender systems Self-actualization User profile
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Published Date

2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

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.