The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic. - Thomas Elmar Kolb; Irina Nalis; Mete Sertkan; Julia Neidhardt (CoRR, 2022)

Like a Skilled DJ - an Expert Study on News Recommendations Beyond Accuracy. - Thomas E. Kolb; Irina Nalis; Julia Neidhardt (INRA@RecSys, 2023)

Value-Based Nudging in News Recommender Systems - Results From an Experimental User Study. - Laura Modre; Julia Neidhardt; Irina Nalis (NORMalize@RecSys, 2023)

Not Facial Expression, nor Fingerprint - Acknowledging Complexity and Context in Emotion Research for Human-Centered Personalization and Adaptation. - Irina Nalis; Julia Neidhardt (UMAP (Adjunct Publication), 2023)

Navigating Serendipity - An Experimental User Study On The Interplay of Trust and Serendipity In Recommender Systems. - Irina Nalis; Tobias Sippl; Thomas Elmar Kolb; Julia Neidhardt (UMAP (Adjunct Publication), 2024)

Context over Categories: Implementing the Theory of Constructed Emotion with LLM-Guided User Analysis. - Nils Klüwer; Irina Nalis; Julia Neidhardt (CHI Extended Abstracts, 2025)

Bridging Preferences: Multi-Stakeholder Insights on Ideal News Recommendations. - Thomas Elmar Kolb; Irina Nalis; Julia Neidhardt (UMAP, 2025)