Research Group
Jakub Šimko
Research areas: user modeling, human computation, crowdsourcing, false information detection, user studies
Position: Lead and Researcher
Jakub focuses on the intersection of human computation, machine learning and user modeling. He has recently been working on social media algorithm auditing, misinformation modeling and promotes interdisciplinary approaches to computer science research.
Recently, he has been dedicating considerable effort to preparation of Horizon Europe grant projects.
In the past, Jakub has participated in international research co-operation with Bar-Ilan University and the University of British Columbia. Jakub has worked on more than 10 national and international research projects and participated in several industry projects. He has authored more than 30 publications, received more than 200 citations and is a reviewer for several Springer and Elsevier journals.
He was a member of the PeWe (Personalized Web) research group and worked at the User Experience and Interaction Research Center. Finally, he is enthusiastic about creating online educational materials and has authored over 50 educational videos with lectures or tutorials.
Selected achievements
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
Rector’s award for excellent results in doctoral studies at Slovak University of Technology in Bratislava, 2013
Selected activities
Authored several educational tracks (lectures and tutorials) for YouTube.
Other notable projects
Misinformation Detection in Healthcare Domain
APVV SK-IL-RD-18-0004. 2018-2020, Partner: Bar Ilan University (prof. Sarit Kraus), Bielikova, M. – principal investigator
Automated Recognition of Antisocial Behaviour in Online Communities
APVV-17-0267. 2018-2020, Partners: Comenius University in Bratislava, Technical University in Kosice, Navrat, P. – principal investigator
Modeling, Prediction and Evaluation of User Behavior Based on the Web Interaction for Adaptation and Personalization
VEGA 1/0667/18. 2018-2020, Kompan, M. – principal investigator
Selected Publications
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes
The negative effects of misinformation filter bubbles in adaptive systems have been known to researchers for some time. Several studies investigated, most prominently on YouTube, how fast a user can…
Selected Student Supervising
PhD
- Čegiň Ján – Machine learning with human in the loop. External mentor: Peter Brusilovsky. Ongoing
Master
- Racsko Patrik – Processing gaze data using deep learning. Ongoing
- Hanáková Martina – Measuring perceived trustworthiness on the web. Ongoing
- Schrojf Viliam – Game with a purpose for the domain of online fake news. Ongoing
- Krátky Marek – Game with a purpose for the domain of online fake news. Ongoing
- Sitárová Daniela – Automatic detection of fake news based on reader behavior analysis. Defended 2020
- Redajová Martina – Automatic acquisition of user characteristics from gaze. Defended 2018
- Kostova Sandra – Automatic assessment of user’s curiousness based on behavior on the web. Defended 2018
- Mäsiar Aleš – Gaze-tracking in human computation. Defended 2017
- Vrba Jakub Benjamín – Automated segmentation of screen recording for scene definition. Defended 2017
- Kucharíková Zuzana – Collection of information in the wild using mobile application: monitoring of visual smog. Defended 2017
- Kutlíková Lenka – Automatic evaluating usability of applications with eye-tracking technique. Defended 2017
- Gašpar Peter – Linking of multimedia metadata using microblog network. Defended 2016
- Láni Marek – Acquisition and correctness assessment of answers in an education system using crowdsourcing. Defended 2014
- Dulačka Peter – A game with a purpose for metadata acquisition and authority discovery. Defended 2014
- Balázs Nagy – Acquisition of metadata for effective organization of personal multimedia repositories using a game with a purpose. Defended 2016
Bachelor
- Rybárik Sandro – Consumption and detection of misinformation by people. Defended 2020
- Láštic Filip – Annotation application for false information. Defended 2020
- Racsko Patrik – Analysis of fake news reader gaze. Defended 2019
- Hanáková Martina – Analysis of fake news reader gaze. Defended 2019
- Polakovič Martin – Game for linking resources and metadata in multimedia domain. Defended 2015
- Mäsiar Alešn – Game for linking resources and metadata in multimedia domain. Defended 2015
- Kišš Marek – Acquisition of semantics and metadata using games with a purpose. Defended 2012
- Dulačka Peter – Acquisition of semantics and metadata using games with a purpose. Defended 2012