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February 13, 2026ACM Transactions on Recommender Systems0 citations

Bridging Academia and Industry: A Collaborative Approach for Developing a Responsible News Recommender System

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SESophia EgbertHBHenning Bumann

Key Points

  • The study aims to advance responsible news recommender systems by showcasing effective collaboration between academia and industry.
  • Collaboration with DER SPIEGEL, a German news organization.
  • Development phases outlined for the news recommender system.
  • Identification of milestones and challenges faced during the project.
  • Insights into effective collaboration strategies for responsible NRS development.
  • Lessons learned regarding the integration of diverse expertise.
  • Benefits gained by both academia and industry during the partnership.

Abstract

News is vital for understanding the world and engaging in society. In the digital era, news recommender systems (NRSs) have become central to news consumption, providing personalized content tailored to users' preferences. Research on news recommendation has grown over the past decade, with increasing attention to the responsible design of these systems. We argue that the development of responsible NRSs requires a multidisciplinary approach that integrates technical, journalistic and user-centered expertise. However, collaboration between academia and industry in this area remains rare and little guidance exists on structuring such partnerships for mutual success. This paper addresses this gap by sharing insights from a collaboration between academia and the German news organization DER SPIEGEL on developing a responsible NRS. We outline the project's framework, detailing its phases, milestones and the current state of the system. Additionally, we discuss the challenges encountered, the lessons learned and the benefits gained by all parties involved in the collaboration. By sharing our experiences, we aim to inspire and support similar partnerships and drive responsible news recommendation through a mix of practical and academic strategies.

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Cite This Study

Egbert et al. (2026) studied this question.

synapsesocial.com/papers/698ebf5085a1ff6a93016b08https://doi.org/10.1145/3797027
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Multistakeholder challenges and opportunities of news recommender systems in newsrooms: a comparative systematic literature review2026
  2. 2From Experimentation to Strategy: The Ambidextrous Balancing Act of Developing News Recommender Systems2025
  3. 3News recommendation as a process: An interdisciplinary literature review2026
  4. 4Balancing Needs and Values: A Multi-Stakeholder Examination of Algorithmic News Recommenders in the Netherlands2024
  5. 5A Value and Diversity-Aware News Recommendation Systems: Can Algorithmic Gatekeeping Nudge Readers to View Diverse News?2024 · 21 citations