Róbert Móro

Research areas: artificial intelligence, natural language processing, false information countering, synthetic text generation and detection, user modeling, personalization, human-computer interaction, eye tracking

Position: Researcher

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Róbert’s research interests have for the past several years revolved mainly around false information countering using AI and NLP approaches as well as synthetic text generation and detection. At the same time, he has also been interested in how people interact with the intelligent systems and how this interaction can be modelled and adapted (personalized). He has been involved in several EU-funded projects addressing these problems, most notably HE IA VIGILANT, HE IA AI-CODE, or CEDMO for the false information countering and MSCA Doctoral Network Eyes4ICU for understanding and modeling users’ interaction (by the means of eye tracking).

He has co-authored more than 50 papers accepted to journals, including ACM TORS, ACM TIST, or ACM JRC; or conferences, including ACL, EMNLP, ACM RecSys, ACM SIGIR, or ACM UMAP. His international research collaborations include Fondazione Bruno Kessler where he carried out a 5-weeks long research stay in 2024; PennState University, University of Calabria, University of Sheffield, ADAPT, University of Lugano, University of British Columbia, and others. Besides national and international research projects, he has been also actively involved in multiple industry research projects.

He obtained a Doctoral degree in Intelligent Information Systems from the Slovak University of Technology (STU) in Bratislava in 2017. Before joining KInIT in 2020, he worked at STU as an Assistant Professor between 2017 and 2020, teaching Intelligent Data Analysis. While at the university, he was a member of the PeWe (Personalized Web) research group and excellence team led by Prof. Bieliková and worked at the User Experience and Interaction Research Center. He has supervised 21 successfully defended bachelor students, 16 master students and is currently co-supervising a PhD student.

Selected achievements

  • Co-organizer of a SemEval 2025 Task 7 on Multilingual and Crosslingual Fact-Checked Claim Retrieval
  • Co-authored the award-winning paper on social media auditing (Best Paper Award @ RecSys’21)
  • Member of the excellence team PeWe of Slovak University of Technology in Bratislava, lead prof. Mária Bieliková, 2020, Slovak University of Technology

Selected activities

Professional Service

Reviewer for the following journals:

  • ACM Transactions on Recommender systems (ACM TORS)
  • ACM Transactions on the Web (ACM TWEB)

Program Committee member and/or reviewer for the following international conferences:

  • ACL Rolling Review (ARR, papers targeting EMNLP, ACL, EACL)
  • ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
  • ACM Conference Series on Recommender Systems (RecSys) 
  • ACM Symposium on Eye Tracking Research and Applications (ETRA)
  • ACM Web Conference
  • ACM KDD

Member of professional societies: ACM (Professional member), ACM Slovakia Chapter (Treasurer)

All publications: see Google Scholar profile

Selected Student Supervising

PhD

Master

  • Hucko Andrej – Explainable Fake News Detection Method. Defended 2020
  • Kuchár Vladimír – Automatic Text Comprehension Detection. Defended 2019
  • Mokrý Martin – Identification of the User Skill on the Web Based on Patterns in Eye Tracking Data. Defended 2018

Bachelor

  • Štefancová Elena – User Experience and Emotions. Defended 2017. Results published at ADBIS 2018.
  • Berger Patrik – Mind-Controlled Application. Defended 2016. Results published at SMAP 2017.
  • Matlovič Tomáš – Mind-Controlled Application. Defended 2016. Results published at SMAP 2016.