MIS '24: 1st ACM Multimedia Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models
The rise of foundation models like GPT and CLIP has transformed artificial intelligence, driving significant advancements in natural language processing and computer vision. However, these large-scale models also present challenges in misinformation governance across various modalities. This workshop brings together researchers and practitioners to discuss key topics in multi-modal misinformation governance, including new datasets, evaluation techniques, ethical considerations, methodological progress, case studies, and future research directions.
Authors
- Hongyuan Zhu (ORCID: https://orcid.org/0000-0001-5177-8320)
- Rui Shao (ORCID: https://orcid.org/0000-0003-0090-9604)
- Liqiang Nie (ORCID: https://orcid.org/0000-0003-1476-0273)
- Zheng Wang (ORCID: https://orcid.org/0000-0003-3846-9157)
- Shaojing Fan (ORCID: https://orcid.org/0000-0002-7744-1133)
- Song Bai (ORCID: https://orcid.org/0000-0002-2570-9118)
- Shin’ichi Satoh (ORCID: https://orcid.org/0000-0001-6995-6447)
Institutions
- Agency for Science, Technology and Research (SG)
- National University of Singapore (SG)
- National Institute of Informatics (JP)
- Harbin Institute of Technology (CN)
- Institute for Infocomm Research (SG)
- Wuhan University (CN)
Publication Details
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1145/3689090.3696058
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00