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Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation

Cegin, J., Pecher, B., Simko, J., Srba, I., Bielikova, M., Brusilovsky, P. – Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) – ACL 2024, 2024

A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness

Pecher, B., Srba, I., Bielikova, M. – ACM Computing Surveys (ACM CSUR), 2024

Disinformation Capabilities of Large Language Models

Vykopal, I., Pikuliak, M., Srba, I., Moro, R., Macko, D., Bielikova, M. – Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) – ACL 2024, 2024

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices.

Pecher, B., Srba, I., Bielikova, M. – Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation

Pecher, B., Cegin, J., Belanec, R., Simko, J., Srba, I., Bielikova, M. – Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Automated, not Automatic: Needs and practices in European fact-checking organizations as a Basis for Designing Human-Centered AI Systems

Hrckova, A., Moro, R., Srba, I., Simko, J., Bielikova, M. – arXiv preprint, 2024

Auditing YouTube’s Recommendation Algorithm for Misinformation Filter Bubbles

Srba, I., Moro, R., Tomlein, M., Pecher, B., Simko, J., Stefancova, E., Kompan, M., Hrckova, A., Podrouzek, J., Gavornik, A., Bielikova, M. – ACM Transactions on Recommender Systems (ACM TORS), 2023

Stance on the regulation of Generative Artificial Intelligence

Mesarcik, M., Slosiarova, N., Podrouzek, J., Bielikova, M. – KInIT report, 2023

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark

Macko, D., Moro, R., Uchendu, A,, Lucas, J., Yamashita, M., Pikuliak, M., Srba, I., Le, T., Lee, D., Simko, J., Bielikova, M. – Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing – EMNLP 2023, 2023

Multilingual Previously Fact-Checked Claim Retrieval

Pikuliak, M., Srba, I., Moro, R., Hromadka, T., Smoleň, T., Melišek, M., Vykopal, I., Simko, J., Podroužek, J., Bielikova, M. – Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing – EMNLP 2023, 2023

Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis

Leon-Martinez, S., Moro, R., Bielikova, M. – ETRA ’23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

Anger or happiness superiority effect: A face in the crowd study involving nine emotions expressed by nine people

Halamová, J., Strnádelová, B., Kanovský, M., Móro, R., Bielikova, M. – Current Psychology, 2022

Analysis of selected regulations proposed by the European Commission and technological solutions in relation to the dissemination of disinformation and the behaviour of online platforms

Mesarcik, M., Moro, R., Kompan, M., Podrouzek, J., Simko, J., Bielikova, M. – Study prepared by KInIT based on an order from Miriam Lexmann, Member of the European Parliament. , 2022

Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims

Srba, I., Pecher, B., Tomlein, M., Moro, R., Stefancova, E., Simko, J., Bielikova, M. – Proceedings of the 45th International ACM Conference on Research and Development in Information Retrieval – SIGIR 2022, 2022

Reconsidering the regulation of facial recognition in public spaces

Solarova, S., Podrouzek, J., Mesarcik, M., Gavornik, A., Bielikova, M. – AI and Ethics, 2022

Utilising the Assessment List for Trustworthy AI: Three Areas of Improvement

Gavornik, A, Podrouzek, J., Mesarcik, M., Solarova, S., Oresko, S., Bielikova, M. – Proceedings of the 2nd Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies – AIofAI 2022, 2022

Black-box Audit of YouTube’s Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)

Tomlein, M., Pecher, B., Simko, J., Srba, I., Moro, R., Stefancova, E., Kompan, M., Hrckova, A., Podrouzek, J., Bielikova, M. – Thirty-First International Joint Conference on Artificial Intelligence Sister Conferences Best Papers, 2022

Quantitative and qualitative analysis of linking patterns of mainstream and partisan online news media in Central Europe

Hrckova, A., Moro, R., Srba, I., Bielikova, M. – Online Information Review, 2021

Cross-lingual Learning for Text Processing: A Survey

Pikuliak, M., Simko, M., Bielikova, M. – Expert Systems with Applications, 2021

A study of fake news reading and annotating in social media context

Simko, J., Racsko, P., Tomlein, M., Hanakova, M, Moro, R., Bielikova, M. – New Review of Hypermedia and Multimedia, 2021

Pupil size variation in primary facial expressions–testing potential biomarker of self-criticism

Kanovsky, M., Halamova, J., Strnadelova, B., Moro, R., Bielikova, M. – Artificial Intelligence Review, 2021

Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading

Simko, J., Tomlein, M., Pecher, B, Moro, R., Srba, I., Stefancova, E., Hrckova, A., Kompan, M., Podrouzek, J., Bielikova, M. – Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization – UMAP 2021, 2021

Exploring Customer Price Preference and Product Profit Role in Recommender Systems

Kompan, M., Gaspar, P., Macina, J., Cimerman, M., Bielikova, M. – IEEE Intelligent Systems, 2021

An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes

Tomlein, M., Pecher, B., Simko, J., Srba, I., Moro, R., Stefancova, E., Kompan, M., Hrckova, A., Podrouzek, J., Bielikova, M. – RecSys ’21: Fifteenth ACM Conference on Recommender Systems, 2021

Stance on The Proposal for a Regulation Laying Down Harmonised Rules on Artificial Intelligence – Artificial Intelligence Act

Mesarcik, M., Solarova, S., Podrouzek, J., Bielikova, M. – KInIT report, 2021

Behavior-Based Customer Demography Prediction in E-Commerce

Urbancokova, V., Kompan, M., Trebulova, Z., Bielikova, M. – Journal of Electronic Commerce Research, 2020

EMIP: The Eye Movements in Programming Dataset

Bednarik, R., Busjahn, T., Gibaldi, A., Ahadi, A., Bielikova, M. et al. – Science of Computer Programming, 2020.

Synthesized Dataset for Search-based Test Data Generation Methods Focused on MC/DC Criterion

Cegin, J., Rastocny, K., Bielikova, M. – 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2020

Examining the linking patterns and linkbuilding strategies of mainstream and alternative digital news media in central Europe

Hrckova, A., Moro, R., Srba, I, Bielikova, M. – EAI International Conference on Data and Information in Online Environments – DIONE, 2020

Scalable Real-Time Confusion Detection for Personalized Onboarding Guides

Hucko, M., Moro, R., Bielikova, M. – Web Engineering. ICWE 2020. Springer. 2020