output
20212026
most citedAuditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles

57 citations

30 papers

cs.IR2026★ 1 cited

Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok

Branislav Pecher, Adrian Bindas, Jan Jakubcik +8

Social media platforms have become an integral part of everyday life, serving as a primary source of news and information for many users. These platforms increasingly rely on perso…

cs.CY2026

The DSA's Blind Spot: Algorithmic Audit of Advertising and Minor Profiling on TikTok

Sara Solarova, Matej Mosnar, Matus Tibensky +6

Adolescents spend an increasing amount of their time in digital environments where their still-developing cognitive capacities leave them unable to recognize or resist commercial p…

cs.IR2026

From Latent to Observable Position-Based Click Models in Carousel Interfaces

Santiago de Leon-Martinez, Robert Moro, Branislav Kveton +1

Click models are a central component of learning and evaluation in recommender systems, yet most existing models are designed for single ranked list interfaces. In contrast, modern…

cs.CY2026★ 2 cited

Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing

Sara Solarova, Matúš Mesarčík, Branislav Pecher +1

Algorithms of online platforms are required under the Digital Services Act (DSA) to comply with specific obligations concerning algorithmic transparency, user protection and privac…

cs.CR2025

Clustering Malware at Scale: A First Full-Benchmark Study

Martin Mocko, Jakub Ševcech, Daniela Chudá

Recent years have shown that malware attacks still happen with high frequency. Malware experts seek to categorize and classify incoming samples to confirm their trustworthiness or…

cs.CL2025

Political Leaning and Politicalness Classification of Texts

Matous Volf, Jakub Simko

This paper addresses the challenge of automatically classifying text according to political leaning and politicalness using transformer models. We compose a comprehensive overview…