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

Emily Sullivan, Dimitrios Bountouridis, Jaron J. Harambam, Shabnam Najafian, Felicia Loecherbach, Mykola Makhortykh, Domokos Kelen, Daricia Wilkinson, David Graus, Nava Tintarev

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationACM UMAP 2019 Adjunct
Subtitle of host publicationAdjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages241-245
Number of pages5
ISBN (Electronic)9781450367110
DOIs
Publication statusPublished - 6 Jun 2019
Event27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019 - Larnaca, Cyprus
Duration: 9 Jun 201912 Jun 2019

Publication series

NameACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization

Conference

Conference27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019
CountryCyprus
CityLarnaca
Period9/06/1912/06/19

Fingerprint

Recommender systems
Transparency
Processing

Keywords

  • Explainability
  • News recommender systems
  • Self-actualization
  • User control
  • User profile

Cite this

Sullivan, E., Bountouridis, D., Harambam, J. J., Najafian, S., Loecherbach, F., Makhortykh, M., ... Tintarev, N. (2019). Reading news with a purpose: Explaining user profiles for self-actualization. In ACM UMAP 2019 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization (pp. 241-245). (ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery, Inc. https://doi.org/10.1145/3314183.3323456
Sullivan, Emily ; Bountouridis, Dimitrios ; Harambam, Jaron J. ; Najafian, Shabnam ; Loecherbach, Felicia ; Makhortykh, Mykola ; Kelen, Domokos ; Wilkinson, Daricia ; Graus, David ; Tintarev, Nava. / Reading news with a purpose : Explaining user profiles for self-actualization. ACM UMAP 2019 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2019. pp. 241-245 (ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization).
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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.",
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Sullivan, E, Bountouridis, D, Harambam, JJ, Najafian, S, Loecherbach, F, Makhortykh, M, Kelen, D, Wilkinson, D, Graus, D & Tintarev, N 2019, Reading news with a purpose: Explaining user profiles for self-actualization. in ACM UMAP 2019 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, pp. 241-245, 27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019, Larnaca, Cyprus, 9/06/19. https://doi.org/10.1145/3314183.3323456

Reading news with a purpose : Explaining user profiles for self-actualization. / Sullivan, Emily; Bountouridis, Dimitrios; Harambam, Jaron J.; Najafian, Shabnam; Loecherbach, Felicia; Makhortykh, Mykola; Kelen, Domokos; Wilkinson, Daricia; Graus, David; Tintarev, Nava.

ACM UMAP 2019 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2019. p. 241-245 (ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Sullivan E, Bountouridis D, Harambam JJ, Najafian S, Loecherbach F, Makhortykh M et al. Reading news with a purpose: Explaining user profiles for self-actualization. In ACM UMAP 2019 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc. 2019. p. 241-245. (ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization). https://doi.org/10.1145/3314183.3323456