News
2023 Nov. 10 (conference):
D. Plikynas. Propagandos ir dezinformacijos socialinio poveikio tyrimas: metodai, modeliai, perspektyvos. XXI mokslinė kompiuterininkų konferencija VU Kauno fakultete. 2023 m. rugsėjo 28–29 d.
2023 Nov. 10 (conference):
I. Rizgelienė. Propagandos, dezinformacijos ir melagingos informacijos autorių bei skleidėjų aptikimas socialiniuose tinkluose naudojant mašininio mokymosi metodus. XXI mokslinė kompiuterininkų konferencija VU Kauno fakultete. 2023 m. rugsėjo 28–29 d.
2023 Dec 05 (pending WoS Q2 article):
Ruzaitė, J. Disinformation crossing spaces and language borders: A contrastive analysis of English and Lithuanian. Nordic Journal of English Studies. (forthcoming)
2023 Dec 15 (software development):
Label Studio application adapted for annotations and rating.
2024 Jan 15 (collaboration):
A collaboration established with the EU Horizon project FERMI. FERMI consortium develops a framework to detect and monitor the way that D&FN spread, both in terms of locations and within different segments of the society, and to put in place relevant security countermeasures. FERMI Project – Fake News Risk Mitigator (fighting-fake-news.eu)
2024 Feb 29 (collaboration with Meta):
Research partner via Harvard Social Science One program.
2024 Mar 03 (public broadcasting):
Video program recorded and published at the Lithuanian public broadcaster (Lithuanian Radio and Television – LRT):
2024 June 23:
Rizgelienė, I., Korvel, G. (2024). Comparative Analysis of Various Data Balancing Techniques for Propaganda Detection in Lithuanian News Articles. In: Lupeikienė, A., Ralyté, J., Dzemyda, G. (eds) Digital Business and Intelligent Systems. DB&IS 2024. Communications in Computer and Information Science, vol. 2157. Springer, Cham. https://doi.org/10.1007/978-3-031-63543-4_15
2024 Aug 10 (pending article):
D. Plikynas, I. Rizgelienė, G. Korvel. A combined PRISMA review on machine learning research to analyze the authors, content and social impact of fake news, disinformation and propaganda in social media. IEEE ACCESS (Q1-Q2, IF=3.9, pending article).
2024 Oct 20-…:
Establishment of collaborating international research team consisting of researchers from Vilnius University, University of Tartu and University of Latvia. Lithuanian, Latvian and Estonian researchers have jointly created databases of propaganda and disinformation articles from each country in LabelStudio, where the articles are analyzed by noting the propaganda techniques, narratives and other features used.
Mutual agreement has been reached on a comparative study of propaganda and disinformation specifics in the Baltic region, with a view to a joint publication of a WoS Q1-2 paper, conference presentations, and potentially a joint application for a European project.
2024 Nov 6:
Science popularization article (#1) published in LRT Science and Technology News:
2024 Nov 6:
Science popularization article (#2) published in LRT Science and Technology News:
2024 Nov 16-18:
D. Plikynas. Systematic Overview of Machine Learning Applied for Propaganda Social Impact Research. 5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024), Zurich, Switzerland. Proceedings: Volume 14 : Number 22 : Computer Science & Information Technology (CS & IT)
2024 Nov 19-Dec. 04:
D. Plikynas fellowship ( pan-European multidisciplinary networking) for the period of 2024 November 19 – December 4 was carried out at Institute of Computer Science, University of Tartu, Estonia. Funded by the SoBigData++ programme under the European Union’s Horizon 2020 research and innovation programme under grant agreements No. 871042. The theme of the project was „Development of International and Interdisciplinary Agenda for Research of Social Impact of Propaganda and Disinformation Using AI”.
2024 Nov. 17:
Collaboration with Google Cyber Security and Baltic regional representatives to use data from the Baltic region for propaganda and disinformation research.
2024 Nov. 12- Dec. 03:
Designing a questionnaire and conducting a survey for Estonian, Latvian and Lithuanian populations (N400 each), collecting qualitative and quantitative empirical data to assess and model the social impact of propaganda and misinformation.
2024 Nov. 19- 2024 Dec 30:
The first phase of writing the monograph: 70-90 pages by the end of 2025.
2024 Dec 24 (WoS Q2 published article):
Ruzaitė, J. (2024). Disinformation Crossing Spaces and Language Borders: A Contrastive Analysis of English and Lithuanian. Nordic Journal of English Studies, 23(2), 268–298. https://doi.org/10.35360/njes.v23i2.39193 https://publicera.kb.se/njes/article/view/39193
2025 Dec 16 (WoS Q1 published article):
D. Plikynas, I. Rizgelienė and G. Korvel, „Systematic Review of Fake News, Propaganda, and Disinformation: Examining Authors, Content, and Social Impact through Machine Learning,” in IEEE Access, doi: 10.1109/ACCESS.2025.3530688