Sullivan, Emily; Bountouridis, Dimitrios; Harambam, Jaron; Najafian, Shabnam; Loecherbach, Felicia; Makhortykh, Mykola; Kelen, Domokos; Wilkinson, Daricia; Graus, David; Tintarev, Nava (9 June 2019). Reading news with a purpose: Explaining user profiles for self-actualization. Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, UMAP 2019, Larnaca, Cyprus, June 09-12, 2019, pp. 241-245. New York, US: ACM 10.1145/3314183.3323456
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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.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Communication and Media Studies (ICMB) |
UniBE Contributor: |
Makhortykh, Mykola |
Subjects: |
300 Social sciences, sociology & anthropology 000 Computer science, knowledge & systems 000 Computer science, knowledge & systems > 070 News media, journalism & publishing 300 Social sciences, sociology & anthropology > 360 Social problems & social services |
ISBN: |
978-1-4503-6711-0 |
Publisher: |
ACM |
Language: |
English |
Submitter: |
Mykola Makhortykh |
Date Deposited: |
30 Jul 2019 09:04 |
Last Modified: |
05 Dec 2022 15:29 |
Publisher DOI: |
10.1145/3314183.3323456 |
Additional Information: |
algorithms |
BORIS DOI: |
10.7892/boris.131653 |
URI: |
https://boris.unibe.ch/id/eprint/131653 |
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