Call For Papers: 5th ACM International Workshop on Multimedia AI against Disinformation (MAD’26)
5th ACM International Workshop on Multimedia AI against Disinformation (MAD’26)
ACM International Conference on Multimedia Retrieval ICMR'26 Amsterdam, Netherlands, June 16 - 19, 2026
https://www.mad2026.aimultimedialab.ro/
https://easychair.org/my/conference?conf=mad2026
***Call For Papers ***
Paper submission due March 25th, 2026
Acceptance notification April 19th, 2026
Camera-ready papers due April 25th, 2026
Workshop @ ICMR 2026 June 15, 2026
Modern communication does not rely anymore solely on mainstream media like newspapers or television, but rather takes place over social networks, in real-time, and with live interactions among users, or increasingly mediated via AI-based systems, such as bots and recommendation algorithms. The speedup of distribution and the amount of information available, however, also led to an increased amount of misleading content, disinformation and propaganda. Conversely, the fight against disinformation, in which news agencies and NGOs (among others) take part on a daily basis to avoid the risk of citizens' opinions being distorted, became even more crucial and demanding, especially for what concerns sensitive topics such as immigration, health and climate change.
Disinformation campaigns are leveraging, among others, AI-based tools for content generation and modification: hyper-realistic visual, speech, textual and video content have emerged under the collective name of "deepfakes", and more recently with the use of Large Language Models (LLMs) and Large Multimodal Models (LMMs), undermining the perceived credibility of media content. It is, therefore, even more crucial to counter these advances by devising new robust and trustworthy AI tools able to detect the presence of inaccurate, synthetic and manipulated content, accessible to journalists and fact-checkers.
Future multimedia disinformation detection research relies on the combination of different modalities and on the adoption of the latest advances of deep learning approaches and architectures. These raise new challenges and questions that need to be addressed to reduce the effects of disinformation campaigns. The workshop, in its fourth edition, welcomes contributions related to different aspects of AI-powered disinformation detection, analysis and mitigation.
Topics of interest include but are not limited to:
Disinformation detection in multimedia content (e.g., video, audio, texts, images)
Multimodal verification methods
Synthetic and manipulated media detection
Multimedia forensics
Multimodal fusion approaches for disinformation detection
Disinformation spread and effects on social media
Analysis of disinformation campaigns in societally-sensitive domains
Robustness of media verification against adversarial attacks and real-world complexities
Fairness and non-discrimination of disinformation detection in multimedia content
Explaining disinformation detection results to non-expert users
Temporal and cultural aspects of disinformation
Dataset sharing and governance in AI for disinformation
Datasets for disinformation detection and multimedia verification
Open resources, e.g., datasets, software tools
Large Language Models for analysing and mitigating disinformation campaigns
Large Multimodal Models for media verification
Multimedia verification systems and applications
Benchmarking and evaluation frameworks
Emerging threats due to wide adoption of LLMs, e.g. hallucinations, grooming, etc.
*** Submission guidelines ***
When preparing your submission, please adhere strictly to the ACM ICMR 2026 instructions, to ensure the appropriateness of the reviewing process and inclusion in the ACM Digital Library proceedings. The instructions are available here: https://mad2026.aimultimedialab.ro/submissions/.
*** Organizing committee ***
Dan-Cristian Stanciu (National University of Science and Technology Politehnica Bucharest, Romania)
Roberto Caldelli (CNIT and Mercatorum University, Italy)
Milica Gerhardt (Fraunhofer IDMT, Germany)
Bogdan Ionescu (National University of Science and Technology Politehnica Bucharest, Romania)
Giorgos Kordopatis-Zilos (Czech Technical University in Prague, Czechia)
Symeon Papadopoulos (CERTH-ΙΤΙ, Greece)
Adrian Popescu (CEA LIST, France)
Vera Schmitt (Technical University Berlin, Germany)
On behalf of the organizers,
Dan-Cristian Stanciu
