KInIT is a European Centre of Excellence in AI supported by

Research Group

Web & User Data Processing

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Matej Mosnár

Position: Research Engineer

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Matej Mosnár is a Research Engineer at the Kempelen Institute of Intelligent Technologies. He holds both a Bachelor’s degree in Informatics and a Master’s degree in Intelligent Software Systems from the Faculty of Informatics and Information Technologies at the Slovak University of Technology in Bratislava (FIIT STU). His academic research focused on the intersection of artificial intelligence and medicine, with a specific specialization in evaluating AI uncertainty and its clinical implications for diagnosing conditions like Mild Cognitive Impairment and Keratoconus. At KInIT, his research contributions address the socio-technical impacts of AI.

Selected Publications

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

Solarova, S., Mosnar, M.,Tibensky, M., Jakubcik, J., Bindas, A., Liska, S., Hossner, F., Mesarcik, M., Srba, I. – Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’26),

Solarova, S., Mosnar, M., Tibensky, M., Jakubcik, J., Bindas, A., Liska, S., Hossner, F., Mesarcik, M., Srba, I. Adolescents spend an increasing amount of their time in digital environments where…

Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok

Pecher, B., Bindas, A., Jakubcik, J., Tuna, M., Tibensky, M., Liska, S., Sakalik, P., Suty, A., Mosnar, M., Hossner, F., Srba, I. – Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization,

Pecher, B., Bindas, A., Jakubcik, J., Tuna, M., Tibensky, M., Liska, S., Sakalik, P., Suty, A., Mosnar, M., Hossner, F., Srba, I. Social media platforms have become an integral part…

Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings

Mosnar, M., Skurla, A., Pecher, B., Tibensky, M., Jakubčík, J., Bindas, A., Sakalík, P., Srba, I. – SIGIR ’25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval,

Social media platforms are constantly shifting towards algorithmically curated content based on implicit or explicit user feedback. Regulators, as well as researchers, are calling for systematic social media algorithmic audits…