| Vol-3639 urn:nbn:de:0074-3639-2 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# NORMalize 2023
Normative Design and Evaluation of Recommender Systems 2023

### Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023)
co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023)

### Singapore, Singapore, September 19, 2023.

Edited by

### Sanne Vrijenhoek *
Lien Michiels **
Johannes Kruse +
Alain Starke ++
Jordi Viader Guerrero ○
Nava Tintarev ○○

* University of Amsterdam, AI, Media & Democracy Lab, Amsterdam, the Netherlands
** University of Antwerp, Adrem Data Lab, Antwerp, Belgium
+ Technical University of Denmark, Department of Applied Mathematics and Computer Science, Kongens Lyngby, Denmark
++ University of Amsterdam, Amsterdam School of Communication Research (ASCoR), Amsterdam, the Netherlands
○ Delft University of Technology, Department of Values, Technology and Innovation, Delft, the Netherlands
○○ Maastricht University, Department of Advanced Computing Sciences, Maastricht, the Netherlands

## Table of Contents

- Preface
  Summary: There were 13 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume, 6 as regular papers and 3 as short papers.
  Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Jordi Viader Guerrero, Nava Tintarev

- What Does ‘Good’ Curation Look Like?
  Louisa Bartolo
- Towards a Pragmatic Approach for studying Normative Recommender Systems: exploring Power Dynamics in Digital Platform Markets
  Brett Binst, Hanne Vandenbroucke, Donqxiao Li, Isabelle Puskas, Pieter Van der Elst, Annelien Smets
- Designing and Implementing Socially Beneficial Recommender Systems: An Interdisciplinary Approach
  Bernard Mallia
- Digital Humanism and Norms in Recommender Systems
  Erich Prem, Julia Neidhardt, Peter Knees, Stefan Woltran, Hannes Werthner
- Improving and Evaluating the Detection of Fragmentation in News Recommendations with the Clustering of News Story Chains
  Alessandra Polimeno, Myrthe Reuver, Sanne Vrijenhoek, Antske Fokkens
- Enabling Serendipitous News Discovery Experiences by Designing for Navigable Surprise
  Rupert Kiddle, Kasper Welbers, Anne Kroon, Damian Trilling
- NPR: a News Portal Recommendations dataset
  Joel Pinho Lucas, Joāo Felipe Guedes Da Silva, Leticia Freire Figueiredo
- Value-Based Nudging in News Recommender Systems – Results From an Experimental User Study
  Laura Modre, Julia Neidhardt, Irina Nalis
- Refining Deliberative Standards for Online Political Communication: Introducing a Summative Approach to Designing Deliberative Recommender Systems
  Sjoerd B. Stolwijk, Corinna Oschatz, Michael Heseltine, Damian Trilling
- Classification of Normative Recommender Systems
  Lucien Heitz

2023-02-06: submitted by Lien Michiels, metadata incl. bibliographic data published under Creative Commons CC0
2024-02-12: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|