Towards Detection of Usability Issues by Measuring Emotions. - Elena Stefancova; Róbert Móro; Mária Bieliková (ADBIS (Short Papers and Workshops), 2018)

POI Recommendation Based on Locality-Specific Seasonality and Long-Term Trends. - Elena Stefancova; Ivan Srba (SOFSEM, 2020)

An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes. - Matús Tomlein; Branislav Pecher; Jakub Simko; Ivan Srba; Róbert Móro; Elena Stefancova; Michal Kompan; Andrea Hrckova; Juraj Podrouzek; Mária Bieliková (RecSys, 2021)

Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading. - Jakub Simko; Matús Tomlein; Branislav Pecher; Róbert Móro; Ivan Srba; Elena Stefancova; Andrea Hrckova; Michal Kompan; Juraj Podrouzek; Mária Bieliková (UMAP (Adjunct Publication), 2021)

Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract). - Matús Tomlein; Branislav Pecher; Jakub Simko; Ivan Srba; Róbert Móro; Elena Stefancova; Michal Kompan; Andrea Hrckova; Juraj Podrouzek; Mária Bieliková (IJCAI, 2022)

Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims. - Ivan Srba; Branislav Pecher; Matús Tomlein; Róbert Móro; Elena Stefancova; Jakub Simko; Mária Bieliková (SIGIR, 2022)

Dataset for the paper: "Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims". - Ivan Srba; Branislav Pecher; Matús Tomlein; Róbert Móro; Elena Stefancova; Jakub Simko; Mária Bieliková (Zenodo, 2022)

Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF. - Amanda Aird; Cassidy All; Paresha Farastu; Elena Stefancova; Joshua Sun; Nicholas Mattei; Robin Burke (CoRR, 2023)

Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. - Ivan Srba; Róbert Móro; Matús Tomlein; Branislav Pecher; Jakub Simko; Elena Stefancova; Michal Kompan; Andrea Hrckova; Juraj Podrouzek; Adrian Gavornik; Mária Bieliková (Trans. Recomm. Syst., 2023)

Social Choice for Heterogeneous Fairness in Recommendation. - Amanda Aird; Elena Stefancova; Cassidy All; Amy Voida; Martin Homola; Nicholas Mattei; Robin Burke (RecSys, 2024)

Data Generation via Latent Factor Simulation for Fairness-aware Re-ranking. - Elena Stefancova; Cassidy All; Joshua Paup; Martin Homola; Nicholas Mattei; Robin Burke (CoRR, 2024)

Dynamic Fairness-aware Recommendation Through Multi-agent Social Choice. - Amanda Aird; Paresha Farastu; Joshua Sun; Elena Stefancova; Cassidy All; Amy Voida; Nicholas Mattei; Robin Burke (Trans. Recomm. Syst., 2025)