doc. Ing.

Jakub Šimko


External Cooperator
236028/BUT personal ID


  • 2023

    SRBA Ivan, MÓRO Róbert, TOMLEIN Matúš, PECHER Branislav, ŠIMKO Jakub, ŠTEFANCOVÁ Elena, KOMPAN Michal, HRČKOVÁ Andrea, PODROUŽEK Juraj, GAVORNÍK Adrián and BIELIKOVÁ Mária. Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. ACM Transactions on Recommender Systems, vol. 1, no. 1, 2023, pp. 1-33. ISSN 2770-6699.

    ČEGIŇ Ján and ŠIMKO Jakub. ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness. In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Singapur: Association for Computational Linguistics, 2023, pp. 1889-1905. ISBN 979-8-8917-6060-8.

  • 2022

    TOMLEIN Matúš, PECHER Branislav, ŠIMKO Jakub, SRBA Ivan, MÓRO Róbert, ŠTEFANCOVÁ Elena, KOMPAN Michal, HRČKOVÁ Andrea, PODROUŽEK Juraj and BIELIKOVÁ Mária. Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics. In: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence Sister Conferences Best Papers. Vienna: International Joint Conferences on Artificial Intelligence, 2022, pp. 5349-5353. ISBN 978-1-956792-00-3.

    SRBA Ivan, PECHER Branislav, TOMLEIN Matúš, MÓRO Róbert, ŠTEFANCOVÁ Elena, ŠIMKO Jakub and BIELIKOVÁ Mária. Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Madrid: Association for Computing Machinery, 2022, pp. 2949-2959. ISBN 978-1-4503-8732-3.

Back to top