MAD '24 Workshop: Multimedia AI against Disinformation
Open Access
- 30 May 2024
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 1339-1341
Abstract
Synthetic media generation and manipulation have seen rapid ad- vancements in recent years, making it increasingly easy to create multimedia content that is indistinguishable to the human observer. Moreover, generated content can be used maliciously by individ- uals and organizations in order to spread disinformation, posing a significant threat to society and democracy. Hence, there is an urgent need for AI tools geared towards facilitating a timely and ef- fective media verification process. The MAD'24 workshop seeks to bring together people with diverse backgrounds who are dedicated to combating disinformation in multimedia through the means of AI, by fostering an environment for exploring innovative ideas and sharing experiences. The research areas of interest encompass the identification of manipulated or generated content, along with the investigation of the dissemination of disinformation and its societal repercussions. Recognizing the significance of multimedia, the workshop emphasizes the joint analysis of various modalities within content, as verification can be improved by aggregating multiple forms of content.Keywords
Funding Information
- AI4Media, A European Excellence Centre for Media, Society and Democracy, H2020 ICT-48-2020 (951911)
This publication has 12 references indexed in Scilit:
- Credible, Unreliable or Leaked?: Evidence verification for enhanced automated fact-checking2024
- Introduction to Audio Deepfake Generation: Academic Insights for Non-Experts2024
- Evaluating Human-Centered AI Explanations: Introduction of an XAI Evaluation Framework for Fact-Checking2024
- Whodunit: Detection and Attribution of Synthetic Images by Leveraging Model-specific Fingerprints2024
- Explore the World of Audio Deepfakes: A Guide to Detection Techniques for Non-Experts2024
- SIDBench: A Python framework for reliably assessing synthetic image detection methods2024
- Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol2024
- Improving Generalization in Deepfake Detection via Augmentation with Recurrent Adversarial Attacks2024
- The making of an AI news anchor—and its implicationsProceedings of the National Academy of Sciences, 2023
- MAD '22 Workshop: Multimedia AI against Disinformation2022