INRA 2025
News Recommendation and Analytics 2025

Table of Contents

• Preface
  Summary: There were 17 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, 5 as regular papers and 5 as short papers.

• More of the Same? A Longitudinal Evaluation of Two Similarity-based Approaches in a News Recommender System
  Gloria Anne Babile Kasangu, Alain D. Starke Christoph Trattner
• News, With a Twist: Using Contrastive Learning to Improve User Embeddings for Diverse News Recommendations
  Zijie Tang, Manel Slokom
• Leveraging Media Frames to Improve Normative Diversity in News Recommendations
  Sourabh Dattawad, Agnese Daffara, Tanise Ceron
• Using Large Language Models to ‘Lighten the Mood’: Satirically Reframing News Recommendations to Reduce News Avoidance
  Tobias Jovall Wessel, Christoph Trattner, Alain D. Starke
• Hope, Fear, or Anger? How Emotional Framing in a News Recommender System Guides User Preferences
  Jørgen Eknes-Riple, Jia-Hua Jeng, Alain D. Starke Khadiga Seddik, Christoph Trattner
• Segment-Aware Analytics for Real-Time Editorial Support in Media Groups
  Martin Spišák, Rodrigo Alves, Thomas Kelleher Jason Sheppard, Ondřej Fiedler Ergys Kosovrasti, Vojtěch Vančura Petr Kasalický, Pavel Kordík
• News Recommendation with Category Description by a Large Language Model
  Yuki Yada, Hayato Yaman
• Clickbait Mitigation in Industrial Recommender System
  Václav Blahut, Karel Koupil Michal Chudoba, Radek Tomšů
• Evaluating Image Trust Labels in a News Recommender System
  Svenja Lys Forstner, Yelyzaveta Lysova Alain Starke, Christoph Trattner
• Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit
  Markus Reiter-Haas, Elisabeth Lex