Thomas Elmar Kolb

11 papers A 3Journal 1Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
Prompt to Press: Evaluating Human Perception of AI Involvement in News Writing Across Prompt Specificity.
IUI Companion
Uros Sergas, Ahmadou Wagne, Thomas Elmar Kolb, Julia Neidhardt, Bruce Ferwerda, Marko Tkalcic
2025 A conf
A Tutorial on Recent Advances in Generative Conversational Recommender Systems.
RecSys
Thomas Elmar Kolb, Ahmadou Wagne, Ashmi Banerjee, Fatemeh Nazary, Julia Neidhardt, Yashar Deldjoo, Tommaso Di Noia
2025 — conf
Beyond Demographics: Evaluating News Recommender Systems Fairness Through Behavioural Communities.
UMAP (Adjunct Publication)
Bernhard Steindl, Thomas Elmar Kolb, Julia Neidhardt
2025 A conf
Bridging Preferences: Multi-Stakeholder Insights on Ideal News Recommendations.
UMAP
Thomas Elmar Kolb, Irina Nalis, Julia Neidhardt
2025 — conf
LLM4Good: The 1st Workshop on Sustainable and Trustworthy Large Language Models for Personalization.
UMAP (Adjunct Publication)
Thomas Elmar Kolb, Ashmi Banerjee, Ahmadou Wagne, Julia Neidhardt, Yashar Deldjoo
2024 — conf
Classifying User Roles in Online News Forums: A Model for User Interaction and Behavior Analysis.
UMAP (Adjunct Publication)
Felix Scholz, Thomas Elmar Kolb, Julia Neidhardt
2024 A conf
Enhancing Cross-Domain Recommender Systems with LLMs: Evaluating Bias and Beyond-Accuracy Measures.
RecSys
Thomas Elmar Kolb
2024 — conf
Evaluating Group Fairness in News Recommendations: A Comparative Study of Algorithms and Metrics.
UMAP (Adjunct Publication)
Blake Huebner, Thomas Elmar Kolb, Julia Neidhardt
2024 — conf
Navigating Serendipity - An Experimental User Study On The Interplay of Trust and Serendipity In Recommender Systems.
UMAP (Adjunct Publication)
Irina Nalis, Tobias Sippl, Thomas Elmar Kolb, Julia Neidhardt
2024 — conf
PopAut: An Annotated Corpus for Populism Detection in Austrian News Comments.
LREC/COLING
Ahmadou Wagne, Julia Neidhardt, Thomas Elmar Kolb
2022 J jnl
The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic.
CoRR
Thomas Elmar Kolb, Irina Nalis, Mete Sertkan, Julia Neidhardt