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NORMalize 2025: The ThirdWorkshop on Normative Design and Evaluation of Recommender Systems

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dc.contributor.authorMichiels, Lien
dc.contributor.authorVrijenhoek, Sanne
dc.contributor.authorStarke, Alain D.
dc.contributor.authorKruse, Johannes
dc.contributor.authorDaniil, Savvina
dc.date.accessioned2026-07-23T13:11:51Z
dc.date.available2026-07-23T13:11:51Z
dc.date.createdwos2025
dc.date.issued2025
dc.description.abstractRecommender systems are one of the most widely used applications of artificial intelligence. Their use can have far-reaching consequences for stakeholders, users, and society at large. In this third edition of the NORMalize workshop, we once again seek to advance the research agenda of normative thinking, considering the norms and values that underpin recommender systems, as well as to introduce the concept to a broader audience. We aim to bring together a growing community of researchers and practitioners across disciplines who want to think about the norms and values that should be considered in the design and evaluation of recommender systems, and to further educate them on how to reflect on, prioritise, and operationalise such norms and values. NORMalize 2025 is a half-day workshop focusing on discussion and interdisciplinary collaboration, building upon its two successful runs at previous RecSys conferences in 2023 and 2024.
dc.description.wosFundingTextWe would like to thank the participants and authors of accepted contributions for their valuable inputs to the workshop. Finally, we would like to thank our employers and funding bodies. Sanne Vrijenhoek's contribution to this research is supported by the AI, Media and Democracy Lab. Lien Michiels' contribution to this research was supported by the Research Foundation Flanders (FWO) under grant number S006323N and the Flanders AI Research Program. Johannes Kruse's contribution to this research is supported by the Innovation Foundation Denmark under grant number 1044-00058B and Platform Intelligence in News under project number 0175-00014B. Alain Starke's contribution was in part supported by the Research Council of Norway with funding to MediaFutures: Research Centre for Responsible Media Technology and Innovation, through the Centre for Research-based Innovation scheme, project number 309339. Savvina Daniil's contribution to this research is funded by the KB National Library of the Netherlands. All content represents the opinion of the authors, which is not necessarily shared or endorsed by their respective employers and/or sponsors.
dc.identifier.doi10.1145/3705328.3748002
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/59949
dc.language.isoeng
dc.provenance.editstepusergreet.vanhoof@imec.be
dc.publisherASSOC COMPUTING MACHINERY
dc.source.beginpage1386
dc.source.conference19th ACM Conference on Recommender Systems - RecSys
dc.source.conferencedate2025-09-22
dc.source.conferencelocationPrague
dc.source.endpage1388
dc.source.journalPROCEEDINGS OF THE NINETEENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS2025
dc.source.numberofpages3
dc.title

NORMalize 2025: The ThirdWorkshop on Normative Design and Evaluation of Recommender Systems

dc.typeProceedings paper
dspace.entity.typePublication
imec.identified.statusLibrary
imec.internal.crawledAt2025-10-22
imec.internal.sourcecrawler
imec.internal.wosCreatedAt2026-07-14
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