The selection of the most important and recent publications related to the project REBELION:
- Machová, Kristína – Mikula, Martin – Szabóová, Martina – Mach, Marián. Sentiment and Authority Analysis in Conversational Content. In Computing and Informatics, Vol. 37, No. 3(2018), s. 737-758, ISSN 1335-9150, DOI: 10.4149/cai_2018_3_737. IF 0.410, WOS 2017 = Q4, CC.
- KAŠŠÁK, Ondrej – KOMPAN, Michal – BIELIKOVÁ, Mária. Acquisition and Modelling of Short-Term User Behaviour on the Web: A Survey. In Journal of Web Engineering. Vol. 17, iss. 5 (2018), s. 23-70. ISSN 1540-9589, DOI: 10.13052/jwe1540-9589.1752. IF 2017 = 0.311, WOS 2017 = Q4, SJR 2017 = Q4.
- Jakub Simko, Martina Hanakova, Patrik Racsko, Matus Tomlein, Robert Moro, Maria Bielikova. 2019. Fake News Reading on Social Media: an Eyetracking
Study. In 30th ACM Conference on Hypertext and Social Media (HT ’19), September 17–20, 2019, Hof, Germany. ACM, New York, NY, USA, 10 pages. DOI: 10.1145/3342220.3343642.
In total, 25 publications were published at international conferences and journals. Additional 19 publications were published at local conferences and journals.
Methods and Models
As the part of the project REBELION, we proposed and evaluated a number of methods and models for:
- capturing features of textual documents, which are important for detection of antisocial behaviour
- sentiment classification of the content created at social networks
- contributing users in online discussions
- detection of fake news
- multilingual detection of hate speech
- detection of trolls in online discussions
In addition, we are working on proposal and implemention of Monant platform, which serves for real-time and scalable web monitoring, mediating results exchange among models/methods and for providing public as well as experts users with end-user services.
Bachelor, Master and PhD students
PhD students, who work on dissertation theses related to the project REBELION:
- Michal Farkaš
- Michal Hucko
- Viera Maslej-Krešňáková
- Samuel Pecár
- Branislav Pecher
- Matúš Pikuliak
- Igor Stupavský
- Elena Štefancová
Additional 22 master and 13 bachelor students work on related master theses.