Balancing Needs and Values: A Multi-Stakeholder Examination of Algorithmic News Recommenders in the Netherlands

This paper aims to deepen understanding of the negotiation process underlying the values embedded in algorithmic news recommenders. The focus is on examining the perceptions and aspirations of different stakeholders and what values are ultimately incorporated in the design of a recommender system. Specifically, it investigates the development of value-driven recommendations at a leading Dutch online news platform, employing a combination of aspects of participatory action research and a multi-stakeholder framework. This is achieved through workshops and interviews with practitioners, critically examining the constraints and value tradeoffs that emerge among key internal stakeholders: journalists, editors, chief editors, and the technical team. The paper reveals how there is a tendency to prioritize technical aspects that align with immediate business goals. This does not stem from ill-intent or an unwillingness to explore other values but has practical reasons. Additionally, the study uncovers reservations and misconceptions about recommender systems by certain stakeholders, highlighting the need for improved understanding and dialogue among stakeholders.

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Publication Details

Journal
Journalism Practice
Published
2024-08-19
DOI
https://doi.org/10.1080/17512786.2024.2392654
Citations
1
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
0.79

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article

Balancing Needs and Values: A Multi-Stakeholder Examination of Algorithmic News Recommenders in the Netherlands

Dennis Nguyen, Karin Florentien van Es
1 citations
Journalism Practice
Educational Games and Gamification
0.79
article

Balancing Needs and Values: A Multi-Stakeholder Examination of Algorithmic News Recommenders in the Netherlands

Dennis Nguyen, Karin Florentien van Es
article en
1 citations

Abstract

This paper aims to deepen understanding of the negotiation process underlying the values embedded in algorithmic news recommenders. The focus is on examining the perceptions and aspirations of different stakeholders and what values are ultimately incorporated in the design of a recommender system. Specifically, it investigates the development of value-driven recommendations at a leading Dutch online news platform, employing a combination of aspects of participatory action research and a multi-stakeholder framework. This is achieved through workshops and interviews with practitioners, critically examining the constraints and value tradeoffs that emerge among key internal stakeholders: journalists, editors, chief editors, and the technical team. The paper reveals how there is a tendency to prioritize technical aspects that align with immediate business goals. This does not stem from ill-intent or an unwillingness to explore other values but has practical reasons. Additionally, the study uncovers reservations and misconceptions about recommender systems by certain stakeholders, highlighting the need for improved understanding and dialogue among stakeholders.

Journalism PracticeVol. 20(3)
Utrecht University (NL), University of the Arts Utrecht (NL)
Délégation Générale pour l'Armement, Alberta Innovates Bio Solutions
Openalex Percentile: Top 25%
Educational Games and Gamification
0.79
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Balancing Needs and Values: A Multi-Stakeholder Examination of Algorithmic News Recommenders in the Netherlands — Dennis Nguyen, Karin Florentien van Es · Journalism Practice (2024) | TGRS Research Map | TGRS