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<h1 style="margin-top: 12pt; font-family: "Aptos Display"; font-size: 16pt; font-weight: normal; color: rgb(24, 90, 189);" class="elementToProof">
<span style="font-size: 24pt;" class="elementToProof">Call For Papers: 5th ACM International Workshop on Multimedia AI against Disinformation (MAD’26) </span></h1>
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<p style="margin-top: 0px; margin-bottom: 0px;" class="elementToProof"><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);" class="elementToProof"><b>5th
ACM International Workshop on Multimedia AI against Disinformation (MAD’26)</b></span></p>
<p style="margin-top: 0px; margin-bottom: 0px;" class="elementToProof"><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);" class="elementToProof"><b>ACM
International Conference on Multimedia Retrieval ICMR'26 Amsterdam, Netherlands, June 16 - 19, 2026</b></span></p>
<p style="margin-top: 0px; margin-bottom: 0px;" class="elementToProof"><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);" class="elementToProof"><b><a style="margin: 0px;" data-linkindex="0" title="https://www.mad2026.aimultimedialab.ro/" class="ms-outlook-linkify OWAAutoLink" id="OWAf5865be6-2ac2-19b7-3d2f-9b24f2b64f45" target="_blank" href="https://www.mad2026.aimultimedialab.ro/">https://www.mad2026.aimultimedialab.ro/</a>
</b></span></p>
<p style="margin-top: 0px; margin-bottom: 0px;" class="elementToProof"><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);" class="elementToProof"><b><a style="margin: 0px;" data-linkindex="1" data-auth="NotApplicable" rel="noopener noreferrer" title="https://easychair.org/my/conference?conf=mad2026" class="x_OWAAutoLink" id="OWA91963cf4-de82-2d63-dca8-a345d02e3f0f" 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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<span class="elementToProof"><b>***Call For Papers ***</b></span></div>
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<span class="elementToProof"><b>Paper submission due March 25th, 2026</b></span></div>
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<span class="elementToProof"><b>Acceptance notification April 19th, 2026</b></span></div>
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<span class="elementToProof"><b>Camera-ready papers due April 25th, 2026</b></span></div>
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<span class="elementToProof"><b>Workshop @ ICMR 2026 June 15, 2026</b></span></div>
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<span class="elementToProof">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.</span></div>
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<span class="elementToProof">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.</span></div>
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<span class="elementToProof">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. </span></div>
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<p style="margin-top: 0px; margin-bottom: 0px;" class="elementToProof"><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);" class="elementToProof">Topics
of interest include but are not limited to:</span></p>
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<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);">
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<span class="elementToProof">Disinformation detection in multimedia content (e.g., video, audio, texts, images)</span></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);">
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<span class="elementToProof">Multimodal verification methods</span></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">
<span class="elementToProof">Synthetic and manipulated media detection</span></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">
<span class="elementToProof">Multimedia forensics</span></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">
<span class="elementToProof">Multimodal fusion approaches for disinformation detection</span></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">
<span class="elementToProof">Disinformation spread and effects on social media</span></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">
<span class="elementToProof">Analysis of disinformation campaigns in societally-sensitive domains</span></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">
<span class="elementToProof">Robustness of media verification against adversarial attacks and real-world complexities</span></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">
<span class="elementToProof">Fairness and non-discrimination of disinformation detection in multimedia content</span></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">
<span class="elementToProof">Explaining disinformation detection results to non-expert users</span></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">
<span class="elementToProof">Temporal and cultural aspects of disinformation</span></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">
<span class="elementToProof">Dataset sharing and governance in AI for disinformation</span></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">
<span class="elementToProof">Datasets for disinformation detection and multimedia verification</span></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">
<span class="elementToProof">Open resources, e.g., datasets, software tools</span></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">
<span class="elementToProof">Large Language Models for analysing and mitigating disinformation campaigns</span></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">
<span class="elementToProof">Large Multimodal Models for media verification</span></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">
<span class="elementToProof">Multimedia verification systems and applications</span></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">
<span class="elementToProof">Benchmarking and evaluation frameworks</span></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">
<span class="elementToProof">Emerging threats due to wide adoption of LLMs, e.g. hallucinations, grooming, etc.</span></p>
</li></ul>
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<span class="elementToProof"><b>*** Submission guidelines ***</b></span></div>
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<span class="elementToProof">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_OWAAutoLink" id="OWA08e427a7-a38f-b20a-8d91-056852104268" target="_blank" href="https://mad2026.aimultimedialab.ro/submissions/">
https://mad2026.aimultimedialab.ro/submissions/.</a> </span></div>
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<span class="elementToProof"><b>*** Organizing committee ***</b></span></div>
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<span class="elementToProof">Dan-Cristian Stanciu (National University of Science and Technology Politehnica Bucharest, Romania)</span></div>
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<span class="elementToProof">Roberto Caldelli (CNIT and Mercatorum University, Italy)</span></div>
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<span class="elementToProof">Milica Gerhardt (Fraunhofer IDMT, Germany)</span></div>
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<span class="elementToProof">Bogdan Ionescu (National University of Science and Technology Politehnica Bucharest, Romania)</span></div>
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<span class="elementToProof">Giorgos Kordopatis-Zilos (Czech Technical University in Prague, Czechia)</span></div>
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<span class="elementToProof">Symeon Papadopoulos (CERTH-ÉÔÉ, Greece) </span></div>
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<span class="elementToProof">Adrian Popescu (CEA LIST, France)</span></div>
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<span class="elementToProof">Vera Schmitt (Technical University Berlin, Germany) </span></div>
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<span class="elementToProof">On behalf of the organizers,</span></div>
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<span class="elementToProof">Dan-Cristian Stanciu</span></div>
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