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

doi:10.1145/3314183.3323456

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

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	ACM UMAP 2019 Adjunct
Subtitle of host publication	Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery, Inc
Pages	241-245
Number of pages	5
ISBN (Electronic)	9781450367110
DOIs	https://doi.org/10.1145/3314183.3323456
Publication status	Published - 2019
Event	27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019 - Larnaca, Cyprus Duration: 9 Jun 2019 → 12 Jun 2019

Conference

Conference	27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019
Country/Territory	Cyprus
City	Larnaca
Period	9/06/19 → 12/06/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

Explainability
News recommender systems
Self-actualization
User control
User profile

Access to Document

10.1145/3314183.3323456

Persistent URL (handle)

Persistent link

Cite this

Sullivan, E., Bountouridis, D., Harambam, J. J., 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 (pp. 241-245). Association for Computing Machinery, Inc. https://doi.org/10.1145/3314183.3323456

@inproceedings{0a8cb40af07840f0b996f09accb9cf00,

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",

pages = "241--245",

booktitle = "ACM UMAP 2019 Adjunct",

publisher = "Association for Computing Machinery, Inc",

note = "27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019 ; Conference date: 09-06-2019 Through 12-06-2019",

}

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. 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. et al.
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.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Reading news with a purpose

T2 - 27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019

AU - Sullivan, Emily

AU - Bountouridis, Dimitrios

AU - Harambam, Jaron J.

AU - Najafian, Shabnam

AU - Loecherbach, Felicia

AU - Makhortykh, Mykola

AU - Kelen, Domokos

AU - Wilkinson, Daricia

AU - Graus, David

AU - Tintarev, Nava

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Explainability

KW - News recommender systems

KW - Self-actualization

KW - User control

KW - User profile

UR - https://www.scopus.com/pages/publications/85068728573

UR - https://www.scopus.com/pages/publications/85068728573#tab=citedBy

U2 - 10.1145/3314183.3323456

DO - 10.1145/3314183.3323456

M3 - Conference contribution

SP - 241

EP - 245

BT - ACM UMAP 2019 Adjunct

PB - Association for Computing Machinery, Inc

Y2 - 9 June 2019 through 12 June 2019

ER -

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 Epub 2019 Jun 6. doi: 10.1145/3314183.3323456

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

Abstract

Conference

UN SDGs

Keywords

Access to Document

Persistent URL (handle)

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