| Vol-3561 urn:nbn:de:0074-3561-7 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 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).

# INRA 2023
International Workshop on News Recommendation and Analytics 2023

### Proceedings of the International Workshop on News Recommendation and Analytics
co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023)

### Singapore, 18 September 2023.

Edited by

### Benjamin Kille *

* Norwegian University of Science and Technology, Faculty of Information Technology and Electrical Engineering, 7034 Trondheim, Norway

## Table of Contents

- Preface
  Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 2 as regular papers and 4 as short papers.

- “It’s just a robot that looks at numbers”: Restoring Journalistic Voice in News Recommendation
  Nihal Alaqabawy, Aishwarya Satwani, Amy Voida, Robin Burke
- A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, and Fake News
  Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
- NeMig - A Bilingual News Collection and Knowledge Graph about Migration
  Andreea Iana, Mehwish Alam, Alexander Grote, Nevena Nikolajevic, Katharina Ludwig, Philipp Müller, Christof Weinhardt, Heiko Paulheim
- Topical Preference Trumps Other Features in News Recommendation: A Conjoint Analysis on a Representative Sample from Norway
  Erik Knudsen, Alain D. Starke, Christoph Trattner
- On the Effect of Incorporating Expressed Emotions in News Articles on Diversity within Recommendation Models
  Mete Sertkan, Julia Neidhardt
- Like a Skilled DJ - an Expert Study on News Recommendations Beyond Accuracy
  Thomas E. Kolb, Irina Nalis, Julia Neidhardt

2023-10-27: submitted by Benjamin Kille, metadata incl. bibliographic data published under Creative Commons CC0
2023-11-23: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|