Connectionists: Call For Papers: 5th ACM International Workshop on Multimedia AI against Disinformation (MAD’26)

[Cristian Stanciu]

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://www.mad2026.aimultimedialab.ro/>    *

*https://easychair.org/my/conference?conf=mad2026
<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/.
<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
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