5th ACM International Workshop on Multimedia AI against Disinformation (MAD'26) Call for Papers

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-???, Greece)  
Adrian Popescu (CEA LIST, France)
Vera Schmitt (Technical University Berlin, Germany)