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<span style="font-size: 24pt;">Call For Papers: 5th ACM International Workshop on Multimedia AI against Disinformation (MAD’26) </span></h1>
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<span style="font-family: "Aptos Display", "Aptos Display_EmbeddedFont", "Aptos Display_MSFontService", "Calibri Light", "Helvetica Light", sans-serif; font-size: 16pt; color: rgb(0, 0, 0);"><b>5th ACM International Workshop on Multimedia AI against Disinformation
(MAD’26)</b></span></p>
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<span style="font-family: "Aptos Display", "Aptos Display_EmbeddedFont", "Aptos Display_MSFontService", "Calibri Light", "Helvetica Light", sans-serif; font-size: 16pt; color: rgb(0, 0, 0);"><b>ACM International Conference on Multimedia Retrieval ICMR'26 Amsterdam,
Netherlands, June 16 - 19, 2026</b></span></p>
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<span style="font-family: "Aptos Display", "Aptos Display_EmbeddedFont", "Aptos Display_MSFontService", "Calibri Light", "Helvetica Light", sans-serif; font-size: 16pt; color: rgb(0, 0, 0);"><b><a style="margin: 0px;" data-linkindex="0" data-auth="NotApplicable" rel="noopener noreferrer" title="https://www.mad2026.aimultimedialab.ro/" class="x_x_x_ms-outlook-linkify x_x_x_OWAAutoLink" id="OWA53b294c1-ea36-0c24-abe3-2c56b398cdc6" target="_blank" href="https://www.mad2026.aimultimedialab.ro/">https://www.mad2026.aimultimedialab.ro/</a>
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<span style="font-family: "Aptos Display", "Aptos Display_EmbeddedFont", "Aptos Display_MSFontService", "Calibri Light", "Helvetica Light", sans-serif; font-size: 16pt; color: rgb(0, 0, 0);"><b><a style="margin: 0px;" data-linkindex="1" data-auth="NotApplicable" rel="noopener noreferrer" title="https://easychair.org/my/conference?conf=mad2026" class="x_x_x_x_OWAAutoLink" id="OWAc3d3d1ee-74ed-d7c2-862b-5f68e2cbff9e" target="_blank" href="https://easychair.org/my/conference?conf=mad2026">https://easychair.org/my/conference?conf=mad2026</a> </b></span></p>
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<b>***Call For Papers ***</b></div>
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<b>Paper submission due March 25th, 2026</b></div>
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<b>Acceptance notification April 19th, 2026</b></div>
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<b>Camera-ready papers due April 25th, 2026</b></div>
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<b>Workshop @ ICMR 2026 June 15, 2026</b></div>
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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.</div>
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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.</div>
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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. </div>
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<span style="font-family: "Aptos Display", "Aptos Display_EmbeddedFont", "Aptos Display_MSFontService", "Calibri Light", "Helvetica Light", sans-serif; font-size: 16pt; color: rgb(0, 0, 0);">Topics of interest include but are not limited to:</span></p>
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Disinformation detection in multimedia content (e.g., video, audio, texts, images)</p>
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Multimodal verification methods</p>
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Synthetic and manipulated media detection</p>
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Multimedia forensics</p>
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Multimodal fusion approaches for disinformation detection</p>
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Disinformation spread and effects on social media</p>
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Analysis of disinformation campaigns in societally-sensitive domains</p>
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Robustness of media verification against adversarial attacks and real-world complexities</p>
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Fairness and non-discrimination of disinformation detection in multimedia content</p>
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Explaining disinformation detection results to non-expert users</p>
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Temporal and cultural aspects of disinformation</p>
</li><li style="font-family: "Aptos Display", "Aptos Display_EmbeddedFont", "Aptos Display_MSFontService", "Calibri Light", "Helvetica Light", sans-serif; font-size: 16pt; color: rgb(0, 0, 0);">
<p style="margin-top: 0px; margin-bottom: 0px;" role="presentation" class="elementToProof">
Dataset sharing and governance in AI for disinformation</p>
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Datasets for disinformation detection and multimedia verification</p>
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Open resources, e.g., datasets, software tools</p>
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<p style="margin-top: 0px; margin-bottom: 0px;" role="presentation" class="elementToProof">
Large Language Models for analysing and mitigating disinformation campaigns</p>
</li><li style="font-family: "Aptos Display", "Aptos Display_EmbeddedFont", "Aptos Display_MSFontService", "Calibri Light", "Helvetica Light", sans-serif; font-size: 16pt; color: rgb(0, 0, 0);">
<p style="margin-top: 0px; margin-bottom: 0px;" role="presentation" class="elementToProof">
Large Multimodal Models for media verification</p>
</li><li style="font-family: "Aptos Display", "Aptos Display_EmbeddedFont", "Aptos Display_MSFontService", "Calibri Light", "Helvetica Light", sans-serif; font-size: 16pt; color: rgb(0, 0, 0);">
<p style="margin-top: 0px; margin-bottom: 0px;" role="presentation" class="elementToProof">
Multimedia verification systems and applications</p>
</li><li style="font-family: "Aptos Display", "Aptos Display_EmbeddedFont", "Aptos Display_MSFontService", "Calibri Light", "Helvetica Light", sans-serif; font-size: 16pt; color: rgb(0, 0, 0);">
<p style="margin-top: 0px; margin-bottom: 0px;" role="presentation" class="elementToProof">
Benchmarking and evaluation frameworks</p>
</li><li style="font-family: "Aptos Display", "Aptos Display_EmbeddedFont", "Aptos Display_MSFontService", "Calibri Light", "Helvetica Light", sans-serif; font-size: 16pt; color: rgb(0, 0, 0);">
<p style="margin-top: 0px; margin-bottom: 0px;" role="presentation" class="elementToProof">
Emerging threats due to wide adoption of LLMs, e.g. hallucinations, grooming, etc.</p>
</li></ul>
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<b>*** Submission guidelines ***</b></div>
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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: <a style="margin: 0px;" data-linkindex="2" data-auth="NotApplicable" rel="noopener noreferrer" title="https://mad2026.aimultimedialab.ro/submissions/" class="x_x_x_x_OWAAutoLink" id="OWA24c4163e-ab7a-6c06-29fb-a88b30b619b5" target="_blank" href="https://mad2026.aimultimedialab.ro/submissions/">https://mad2026.aimultimedialab.ro/submissions/.</a> </div>
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<b>*** Organizing committee ***</b></div>
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Dan-Cristian Stanciu (National University of Science and Technology Politehnica Bucharest, Romania)</div>
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Roberto Caldelli (CNIT and Mercatorum University, Italy)</div>
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Milica Gerhardt (Fraunhofer IDMT, Germany)</div>
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Bogdan Ionescu (National University of Science and Technology Politehnica Bucharest, Romania)</div>
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Giorgos Kordopatis-Zilos (Czech Technical University in Prague, Czechia)</div>
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Symeon Papadopoulos (CERTH-ÉÔÉ, Greece) </div>
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Adrian Popescu (CEA LIST, France)</div>
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Vera Schmitt (Technical University Berlin, Germany) </div>
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On behalf of the organizers,</div>
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Dan-Cristian Stanciu</div>
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