Elena Stefancova

According to our database, Elena Stefancova authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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., June, 2025

Integrating Individual and Group Fairness for Recommender Systems through Social Choice.

Amanda Aird, Elena Stefancova, Anas Buhayh, Cassidy All, Martin Homola, Nicholas Mattei, Robin Burke

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

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

Social Choice for Heterogeneous Fairness in Recommendation.

Amanda Aird, Elena Stefancova, Cassidy All, Amy Voida, Martin Homola, Nicholas Mattei, Robin Burke

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

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., March, 2023

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

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

Dataset, February, 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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

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

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

POI Recommendation Based on Locality-Specific Seasonality and Long-Term Trends.

Elena Stefancova, Ivan Srba

Proceedings of the SOFSEM 2020: Theory and Practice of Computer Science, 2020

2018

Towards Detection of Usability Issues by Measuring Emotions.

Elena Stefancova, Róbert Móro, Mária Bieliková

Proceedings of the New Trends in Databases and Information Systems, 2018