@inproceedings{f0c358b974104db8ad43407c56d12e57,
title = "Reading news with a purpose: Explaining user profiles for self-actualization",
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.",
keywords = "Explainability, News recommender systems, Self-actualization, User control, User profile",
author = "Emily Sullivan and Dimitrios Bountouridis and Harambam, {Jaron J.} and Shabnam Najafian and Felicia Loecherbach and Mykola Makhortykh and Domokos Kelen and Daricia Wilkinson and David Graus and Nava Tintarev",
year = "2019",
doi = "10.1145/3314183.3323456",
language = "English",
isbn = "978-1-4503-6711-0 ",
series = "ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization",
publisher = "Association for Computing Machinery (ACM)",
pages = "241--245",
booktitle = "ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization",
address = "United States",
note = "27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019 ; Conference date: 09-06-2019 Through 12-06-2019",
}