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

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
JournalJournalism Practice
DOIs
Publication statusE-pub ahead of print - 19 Aug 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Funding

This publication has been supported in part by AI Labs Utrecht University in collaboration with DPG Media.

FundersFunder number
AI Labs Utrecht University

    Keywords

    • News recommenders
    • beyond accuracy metrics
    • journalistic values
    • metrics
    • multi-stakeholders
    • value-driven recommendations

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