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

Call For Papers: 5th ACM International Workshop on Multimedia AI against =
Disinformation (MAD=E2=80=9926)=20

5th ACM International Workshop on Multimedia AI against Disinformation (M=
AD=E2=80=9926)

ACM International Conference on Multimedia Retrieval ICMR'26 Amsterdam, N=
etherlands, June 16 - 19, 2026

https://www.mad2026.aimultimedialab.ro/=20=20=20=20

https://easychair.org/my/conference?conf=3Dmad2026=20



***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 lik=
e newspapers or television, but rather takes place over social networks, =
in real-time, and with live interactions among users, or increasingly med=
iated via AI-based systems, such as bots and recommendation algorithms. T=
he speedup of distribution and the amount of information available, howev=
er, also led to an increased amount of misleading content, disinformation=
 and propaganda. Conversely, the fight against disinformation, in which n=
ews 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 immi=
gration, health and climate change.

Disinformation campaigns are leveraging, among others, AI-based tools for=
 content generation and modification: hyper-realistic visual, speech, tex=
tual and video content have emerged under the collective name of "deepfak=
es", and more recently with the use of Large Language Models (LLMs) and L=
arge Multimodal Models (LMMs), undermining the perceived credibility of m=
edia content. It is, therefore, even more crucial to counter these advanc=
es by devising new robust and trustworthy AI tools able to detect the pre=
sence of inaccurate, synthetic and manipulated content, accessible to jou=
rnalists and fact-checkers.

Future multimedia disinformation detection research relies on the combina=
tion of different modalities and on the adoption of the latest advances o=
f deep learning approaches and architectures. These raise new challenges =
and questions that need to be addressed to reduce the effects of disinfor=
mation campaigns. The workshop, in its fourth edition, welcomes contribut=
ions related to different aspects of AI-powered disinformation detection,=
 analysis and mitigation.=20

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-wor=
ld 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 campaig=
ns

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, groom=
ing, etc.


*** Submission guidelines ***
When preparing your submission, please adhere strictly to the ACM ICMR 20=
26 instructions, to ensure the appropriateness of the reviewing process a=
nd inclusion in the ACM Digital Library proceedings. The instructions are=
 available here: https://mad2026.aimultimedialab.ro/submissions/.=20

*** Organizing committee ***
Dan-Cristian Stanciu (National University of Science and Technology Polit=
ehnica 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-=CE=99=CE=A4=CE=99, Greece)=20=20
Adrian Popescu (CEA LIST, France)
Vera Schmitt (Technical University Berlin, Germany)=20


On behalf of the organizers,
Dan-Cristian Stanciu

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