2nd Call For Papers: 4th ACM International Workshop on Multimedia AI against Disinformation

4th ACM International Workshop on Multimedia AI against Disinformation (M=
AD=E2=80=9925)
ACM International Conference on Multimedia Retrieval ICMR'25
Chicago, USA, June 30 - July 3, 2025
https://www.mad2025.aimultimedialab.ro/=20=20=20
https://easychair.org/my/conference?conf=3Dmad2025


*** Call for papers ***
************************

* Paper submission due: April 10, 2025
* Acceptance notification: April 29, 2025
* Camera-ready papers due: May 5, 2025
* Workshop @ACM ICMR 2025: June 30, 2025=20


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. The speedup of dist=
ribution and the amount of information available, however, also led to an=
 increased amount of misleading content, disinformation and propaganda. C=
onversely, the fight against disinformation, in which news agencies and N=
GOs (among others) take part on a daily basis to avoid the risk of citize=
ns' opinions being distorted, became even more crucial and demanding, esp=
ecially for what concerns sensitive topics such as politics, health and r=
eligion.

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.

Topics of interest include but are not limited to:
- Disinformation detection in multimedia content (e.g., video, audio, tex=
ts, images)
- Multimodal verification methods
- Synthetic and manipulated media detection
- Multimedia forensics
- Disinformation spread and effects in social media
- Analysis of disinformation campaigns in societally-sensitive domains
- Robustness of media verification against adversarial attacks and real-w=
orld complexities
- Fairness and non-discrimination of disinformation detection in multimed=
ia 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 analyzing and mitigating disinformation campa=
igns
- Large Multimodal Models for media verification
- Multimedia verification systems and applications
- System fusion, ensembling and late fusion techniques
- Benchmarking and evaluation frameworks


*** Submission guidelines ***
When preparing your submission, please adhere strictly to the ACM ICMR 20=
25 instructions, to ensure the appropriateness of the reviewing process a=
nd inclusion in the ACM Digital Library proceedings. The instructions are=
 available here: https://mad2025.aimultimedialab.ro/submissions/.



*** 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)
Adrian Popescu (CEA LIST, France)
Vera Schmitt (Technical University Berlin, Germany)


The workshop is supported under the following projects: (i) UEFISCDI Dete=
Rel SOL12/2024 Detection of relationships between entities in unstructure=
d and structured data sets (https://deterel.aimultimedialab.ro/), (ii) AI=
4Debunk (https://ai4debunk.eu/), (iii) vera.ai =E2=80=9CVERification Assi=
sted by Artificial Intelligence=E2=80=9D (https://www.veraai.eu/), and (i=
v) News-Polygraph (https://news-polygraph.com/).


On behalf of the organizers,


Cristian Stanciu
https://www.aimultimedialab.ro/

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