Tracing Strength of Relationships in Social Networks. - Ivan Srba; Mária Bieliková (Web Intelligence/IAT Workshops, 2010)

Towards Collaborative Metadata Enrichment for Adaptive Web-Based Learning. - Róbert Móro; Ivan Srba; Maros Uncík; Mária Bieliková; Marián Simko (Web Intelligence/IAT Workshops, 2011)

Encouragement of Collaborative Learning Based on Dynamic Groups. - Ivan Srba; Mária Bieliková (EC-TEL, 2012)

Adaptive Support for Educational Question Answering. - Ivan Srba (EC-TEL Doctoral Consortium, 2013)

Designing Learning Environments Based on Collaborative Content Creation. - Ivan Srba; Mária Bieliková (ECTEL-meets-ECSCW, 2013)

ALEF: From Application to Platform for Adaptive Collaborative Learning. - Mária Bieliková; Marián Simko; Michal Barla; Jozef Tvarozek; Martin Labaj; Róbert Móro; Ivan Srba; Jakub Sevcech (Recommender Systems for Technology Enhanced Learning, 2014)

Utilizing Non-QA Data to Improve Questions Routing for Users with Low QA Activity in CQA. - Ivan Srba; Marek Grznar; Mária Bieliková (ASONAM, 2015)

Askalot: Community Question Answering as a Means for Knowledge Sharing in an Educational Organization. - Ivan Srba; Mária Bieliková (CSCW Companion, 2015)

Dynamic Group Formation as an Approach to Collaborative Learning Support. - Ivan Srba; Mária Bieliková (IEEE Trans. Learn. Technol., 2015)

Design of CQA Systems for Flexible and Scalable Deployment and Evaluation. - Ivan Srba; Mária Bieliková (ICWE, 2016)

Exploiting Content Quality and Question Difficulty in CQA Reputation Systems. - Adrian Huna; Ivan Srba; Mária Bieliková (NetSci-X, 2016)

Why is Stack Overflow Failing? Preserving Sustainability in Community Question Answering. - Ivan Srba; Mária Bieliková (IEEE Softw., 2016)

A Comprehensive Survey and Classification of Approaches for Community Question Answering. - Ivan Srba; Mária Bieliková (ACM Trans. Web, 2016)

Educational Question Routing in Online Student Communities. - Jakub Macina; Ivan Srba; Joseph Jay Williams; Mária Bieliková (RecSys, 2017)

Education-specific Tag Recommendation in CQA Systems. - Peter Babinec; Ivan Srba (UMAP (Adjunct Publication), 2017)

Employing community question answering for online discussions in university courses: Students' perspective. - Ivan Srba; Milos Savic 001; Mária Bieliková; Mirjana Ivanovic; Cesare Pautasso (Comput. Educ., 2019)

Examining the Linking Patterns and Link Building Strategies of Mainstream and Partisan Online News Media in Central Europe. - Andrea Hrckova; Róbert Móro; Ivan Srba; Mária Bieliková (DIONE, 2020)

FireAnt: Claim-Based Medical Misinformation Detection and Monitoring. - Branislav Pecher; Ivan Srba; Róbert Móro; Matús Tomlein; Mária Bieliková (ECML/PKDD (5), 2020)

POI Recommendation Based on Locality-Specific Seasonality and Long-Term Trends. - Elena Stefancova; Ivan Srba (SOFSEM, 2020)

An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes. - Matús Tomlein; Branislav Pecher; Jakub Simko; Ivan Srba; Róbert Móro; Elena Stefancova; Michal Kompan; Andrea Hrckova; Juraj Podrouzek; Mária Bieliková (RecSys, 2021)

Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading. - Jakub Simko; Matús Tomlein; Branislav Pecher; Róbert Móro; Ivan Srba; Elena Stefancova; Andrea Hrckova; Michal Kompan; Juraj Podrouzek; Mária Bieliková (UMAP (Adjunct Publication), 2021)

Addressing Hate Speech with Data Science: An Overview from Computer Science Perspective. - Ivan Srba; Gabriele Lenzini; Matús Pikuliak; Samuel Pecar (CoRR, 2021)

Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract). - Matús Tomlein; Branislav Pecher; Jakub Simko; Ivan Srba; Róbert Móro; Elena Stefancova; Michal Kompan; Andrea Hrckova; Juraj Podrouzek; Mária Bieliková (IJCAI, 2022)

Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims. - Ivan Srba; Branislav Pecher; Matús Tomlein; Róbert Móro; Elena Stefancova; Jakub Simko; Mária Bieliková (SIGIR, 2022)

Automated, not Automatic: Needs and Practices in European Fact-checking Organizations as a basis for Designing Human-centered AI Systems. - Andrea Hrckova; Róbert Móro; Ivan Srba; Jakub Simko; Mária Bieliková (CoRR, 2022)

Quantitative and qualitative analysis of linking patterns of mainstream and partisan online news media in Central Europe. - Andrea Hrckova; Róbert Móro; Ivan Srba; Mária Bieliková (Online Inf. Rev., 2022)

Dataset for the paper: "Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims". - Ivan Srba; Branislav Pecher; Matús Tomlein; Róbert Móro; Elena Stefancova; Jakub Simko; Mária Bieliková (Zenodo, 2022)

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. - Dominik Macko; Róbert Móro; Adaku Uchendu; Jason Samuel Lucas; Michiharu Yamashita; Matús Pikuliak; Ivan Srba; Thai Le; Dongwon Lee 001; Jakub Simko; Mária Bieliková (EMNLP, 2023)

Multilingual Previously Fact-Checked Claim Retrieval. - Matús Pikuliak; Ivan Srba; Róbert Móro; Timo Hromadka; Timotej Smolen; Martin Melisek; Ivan Vykopal; Jakub Simko; Juraj Podrouzek; Mária Bieliková (EMNLP, 2023)

KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection. - Timo Hromadka; Timotej Smolen; Tomas Remis; Branislav Pecher; Ivan Srba (SemEval@ACL, 2023)

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification. - Olesya Razuvayevskaya; Ben Wu 001; João Augusto Leite; Freddy Heppell; Ivan Srba; Carolina Scarton; Kalina Bontcheva; Xingyi Song (CoRR, 2023)

Is it indeed bigger better? The comprehensive study of claim detection LMs applied for disinformation tackling. - Martin Hyben; Sebastian Kula; Ivan Srba; Róbert Móro; Jakub Simko (CoRR, 2023)

On the Effects of Randomness on Stability of Learning with Limited Labelled Data: A Systematic Literature Review. - Branislav Pecher; Ivan Srba; Mária Bieliková (CoRR, 2023)

Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. - Ivan Srba; Róbert Móro; Matús Tomlein; Branislav Pecher; Jakub Simko; Elena Stefancova; Michal Kompan; Andrea Hrckova; Juraj Podrouzek; Adrian Gavornik; Mária Bieliková (Trans. Recomm. Syst., 2023)

MULTITuDE. - Dominik Macko; Róbert Móro; Adaku Uchendu; Jason Samuel Lucas; Michiharu Yamashita; Matús Pikuliak; Ivan Srba; Thai Le; Dongwon Lee 001; Jakub Simko; Mária Bieliková (Zenodo, 2023)

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation. - Ján Cegin; Branislav Pecher; Jakub Simko; Ivan Srba; Mária Bieliková; Peter Brusilovsky (ACL (1), 2024)

A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts. - Nafis Irtiza Tripto; Saranya Venkatraman; Dominik Macko; Róbert Móro; Ivan Srba; Adaku Uchendu; Thai Le; Dongwon Lee 001 (ACL (1), 2024)

Disinformation Capabilities of Large Language Models. - Ivan Vykopal; Matús Pikuliak; Ivan Srba; Róbert Móro; Dominik Macko; Mária Bieliková (ACL (1), 2024)

Authorship Obfuscation in Multilingual Machine-Generated Text Detection. - Dominik Macko; Róbert Móro; Adaku Uchendu; Ivan Srba; Jason Samuel Lucas; Michiharu Yamashita; Nafis Irtiza Tripto; Dongwon Lee 001; Jakub Simko; Mária Bieliková (EMNLP (Findings), 2024)

Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation. - Branislav Pecher; Ján Cegin; Róbert Belanec; Jakub Simko; Ivan Srba; Mária Bieliková (EMNLP (Findings), 2024)

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices. - Branislav Pecher; Ivan Srba; Mária Bieliková (EMNLP, 2024)

Automatic Combination of Sample Selection Strategies for Few-Shot Learning. - Branislav Pecher; Ivan Srba; Mária Bieliková; Joaquin Vanschoren (CoRR, 2024)

Fine-Tuning, Prompting, In-Context Learning and Instruction-Tuning: How Many Labelled Samples Do We Need? - Branislav Pecher; Ivan Srba; Mária Bieliková (CoRR, 2024)

Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer. - Róbert Belanec; Simon Ostermann 002; Ivan Srba; Mária Bieliková (CoRR, 2024)

Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification. - Ján Cegin; Branislav Pecher; Jakub Simko; Ivan Srba; Mária Bieliková; Peter Brusilovsky (CoRR, 2024)

A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models. - Ivan Srba; Olesya Razuvayevskaya; João Augusto Leite; Róbert Móro; Ipek Baris Schlicht; Sara Tonelli; Francisco Moreno García; Santiago Barrio Lottmann; Denis Teyssou; Valentin Porcellini; Carolina Scarton; Kalina Bontcheva; et al. (CoRR, 2024)

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification. - Olesya Razuvayevskaya; Ben Wu 001; João Augusto Leite; Freddy Heppell; Ivan Srba; Carolina Scarton; Kalina Bontcheva; Xingyi Song (Zenodo, 2024)

MULTITuDEv2. - Dominik Macko; Róbert Móro; Adaku Uchendu; Ivan Srba; Jason Samuel Lucas; Michiharu Yamashita; Nafis Irtiza Tripto; Dongwon Lee 001; Jakub Simko; Mária Bieliková (Zenodo, 2024)

MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts. - Dominik Macko; Jakub Kopal; Róbert Móro; Ivan Srba (ACL (1), 2025)

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation. - Aneta Zugecova; Dominik Macko; Ivan Srba; Róbert Móro; Jakub Kopál; Katarina Marcincinova; Matús Mesarcík (ACL (1), 2025)

Model-based Algorithmic Auditing of Social Media AI Algorithms. - Ivan Srba; Branislav Pecher; Jakub Simko; Róbert Móro; Mária Bieliková (EWAF, 2025)

Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings. - Matej Mosnar; Adam Skurla; Branislav Pecher; Matus Tibensky; Jan Jakubcik; Adrian Bindas; Peter Sakalik; Ivan Srba (SIGIR, 2025)

A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness. - Branislav Pecher; Ivan Srba; Mária Bieliková (ACM Comput. Surv., 2025)

SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval. - Qiwei Peng 003; Róbert Móro; Michal Gregor; Ivan Srba; Simon Ostermann 002; Marián Simko; Juraj Podrouzek; Matús Mesarcík; Jaroslav Kopcan; Anders Søgaard (Zenodo, 2025)

Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors. - Dominik Macko; Róbert Móro; Ivan Srba (CoRR, 2025)

Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation. - Dominik Macko; Aashish Anantha Ramakrishnan; Jason Samuel Lucas; Róbert Móro; Ivan Srba; Adaku Uchendu; Dongwon Lee 001 (CoRR, 2025)

SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval. - Qiwei Peng 003; Róbert Móro; Michal Gregor; Ivan Srba; Simon Ostermann 002; Marián Simko; Juraj Podrouzek; Matús Mesarcík; Jaroslav Kopcan; Anders Søgaard (CoRR, 2025)

Authorship Attribution in Multilingual Machine-Generated Texts. - Lucio La Cava; Dominik Macko; Róbert Móro; Ivan Srba; Andrea Tagarelli (CoRR, 2025)