MIS-24

Call for Papers

In recent years, the emergence of foundation models, such as GPT (Generative Pre-trained Transformer) and CLIP (Contrastive Language-Image Pre-training), has revolutionized the field of artificial intelligence, enabling significant advancements in natural language processing and computer vision tasks. However, these large-scale multimodal models also pose serious challenges in combating the spread of misinformation across multiple modalities. This workshop aims to bring together researchers and practitioners to discuss and address the following topics (but not limited):

1. New Datasets and Benchmarks
   Developing new datasets and benchmarks to facilitate progress in multi-modal misinformation detection and analysis.
2. Theoretical foundations and challenges
   Theoretical foundations and challenges of multi-modal misinformation detection and analysis in the era of foundation models
3. Evaluating Techniques
   Techniques for evaluating the effectiveness and robustness of multimodal misinformation detection systems
4. Ethical and Societal Thinking
   Ethical considerations and societal impacts of misinformation governance using foundation models
5. Novel Methodologies
   Progress and advancements in developing novel methodologies and approaches for detecting and combating multi-modal misinformation
6. Case and Applications
   Case studies and real-world applications showcasing successful strategies for mitigating the spread of misinformation
7. Future Directions
   Future directions and research agendas in the field of multi-modal misinformation governance leveraging foundation models

programme

The proposed workshop will include 3 invited talks and 3 or more paper presentations. The workshop will be considered for a half-day meeting.

• The Mis-24 will be held together with ACM MM 2024.
• We invite submissions of original research papers addressing but not limited to the topics as listed above. Submissions should adhere to the ACM Multimedia 2024 formatting guidelines and will undergo a rigorous peer-review process. Accepted papers will be presented at the workshop and included in the ACM Digital Library. We also welcome submissions of demos, datasets, and position papers that contribute to the workshop's themes. The template can be found via:Template
• Papers have to be submitted via: Submit a Paper