Evgenia F. Adamopoulou
ICCS, NTUA, Greece
The workshop on Emerging Problems in Disinformation Analysis DisA 2026 is organized in conjunction with the IEEE International Conference on Big Data (IEEE Big Data 2026) in Phoenix, USA, in December 2026.
The workshop is held in a full virtual (online) or hybrid format.
Submission Site: is here.
Trustworthy information analysis is crucial for societies, single citizens in their everyday life (e.g., while traveling, shopping, browsing, communicating, etc.) as well as for businesses and the overall economy. The right to be informed is one of the fundamental requirements for making the right decisions on a small and large scale (e.g., elections). However, information spreading can also be used for disinformation. The problem of fake news publication is not new, and it has already been reported in ancient ages, but it has started having a huge impact, especially on social media users or people watching media news (Internet, newspapers, TV, etc.). Such false information should be detected immediately to avoid its negative influence on the readers and their decisions. Still it is not easy to detect disinformation within the Big Data information digital world.
The main aim of this workshop is to bring together researchers and scientists who are pioneering (dis-)information analysis methods to discuss problems and solutions in this area, identify new issues, and shape future research directions. Disinformation (fake news) is one of the greatest and still unsolved challenges for societies and security. Moreover, the aspects of cyber security, trustworthy AI and big data analysis will be discussed.
We particularly invite works focusing on the following:
Expected participation for the workshop:
Dates are set as suggested by the IEEE Big Data organizers and aligned with the other co-located workshops.
Exact deadlines follow the schedule proposed by the IEEE Big Data 2026 organizers and will be announced here.
Submission Site: is here.
All papers should be submitted electronically via the IEEE Big Data 2026 submission system. All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to the workshop's topics of interest, originality, significance, and clarity.
Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and author anonymity requirements will be rejected without review. Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DISA 2026.
DisA was previously organized at ICCS 2021 (Core A), IEEE DSAA 2023 (Core A), ESORICS 2024 and ESORICS 2025 — with 100% attendance in all previous editions. Proceedings of DISA 2026 will be published by IEEE as part of the IEEE Big Data 2026 Workshop Proceedings.
Organized by researchers from Bydgoszcz University of Science and Technology, Warsaw University of Technology, and Universitat Oberta de Catalunya.
Warsaw University of Technology & IDEAS Research Centre, Warsaw, Poland
Wojciech.mazurczyk@ideas.edu.plSubmissions will be reviewed by an international group of experts in the field.
ICCS, NTUA, Greece
Bydgoszcz University of Science and Technology, Poland
Kazimierz Wielki University, Bydgoszcz
QWANT, France
NASK, Poland
Wroclaw University of Science and Technology, Poland
Warsaw University of Technology, Poland
ICCS, NTUA, Greece
Google, USA
Bydgoszcz University of Science and Technology, Poland
University of the Basque Country, Spain
University of Burgos, Spain
Yunnan University, China
Bydgoszcz, Poland
Infocons, Romania
NASK, Poland
Warsaw University of Technology, Poland
UoC, Barcelona, Spain
EXLService, United States
Z&P, Italy
Walt Disney, USA
Wroclaw University of Science and Technology, Poland