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Branislav Pecher

An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes
2021 · Matus Tomlein, Branislav Pecher, et al. · ACM Conference on Recommender Systems (RecSys) · 59
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Auditing YouTube’s Recommendation Algorithm for Misinformation Filter Bubbles
2022 · Ivan Srba, Robert Moro, et al. · ACM Transactions on Recommender Systems · 55
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Monant Medical Misinformation Dataset
2022 · Ivan Srba, Branislav Pecher, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 17
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Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
2025 · Branislav Pecher, Ivan Srba, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 16
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A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness
2024 · Branislav Pecher, Ivan Srba, et al. · ACM Computing Surveys · 12
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Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading
2021 · Jakub Simko, Matus Tomlein, et al. · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · 11
FireAnt: Claim-Based Medical Misinformation Detection and Monitoring
2021 · Branislav Pecher, Ivan Srba, et al. · Lecture notes in computer science · 9
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
2024 · Jan Cegin, Branislav Pecher, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 8
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KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection
2023 · Timo Hromadka, Timotej Smolen, et al. · International Workshop on Semantic Evaluation (SemEval) · 6
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Automatic Combination of Sample Selection Strategies for Few-Shot Learning
2026 · Branislav Pecher, Ivan Srba, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 5
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Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings
2025 · Matej Mosnar, Adam Skurla, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 4
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Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)
2022 · Matus Tomlein, Branislav Pecher, et al. · International Joint Conference on Artificial Intelligence · 4
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PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
2026 · Robert Belanec, Branislav Pecher, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 3
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Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok
2026 · Branislav Pecher, Adrian Bindas, et al. · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · 1
Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing
2026 · Sara Solarova, Matúš Mesarčík, et al. · CHI Conference on Human Factors in Computing Systems · 1
Revisiting Prompt Sensitivity in Large Language Models for Text Classification: The Role of Prompt Underspecification
2026 · Pecher, Branislav, Spiegel, Michal, et al. · arXiv (Cornell University) · 1
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RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
2026 · Jan Cegin, Branislav Pecher, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
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Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
2024 · Branislav Pecher, Jan Cegin, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
2024 · Branislav Pecher, Ivan Srba, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Dataset for paper "Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok"
2026 · Pecher, Branislav, Bindas, Adrián, et al. · Zenodo (CERN European Organization for Nuclear Research)
PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
2026 · Association for Computational Linguistics 2026, Belanec, Robert, et al. · Underline Science Inc.
Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
2026 · Association for Computational Linguistics 2026, Belanec, Robert, et al. · Underline Science Inc.
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
2026 · Association for Computational Linguistics 2026, Cegin, Jan, et al. · Underline Science Inc.
Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
2026 · Pecher, Branislav, Cegin, Jan, et al. · arXiv (Cornell University)
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Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
2026 · Branislav Pecher, Jan Cegin, et al. · Findings of the Association for Computational Linguistics: EACL
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Works count: 34
Citation count: 215
H-index: 8
I10-index: 6
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