TY - GEN
T1 - MIS’24
T2 - 1st ACM Multimedia Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models, MIS 2024
AU - Fan, Shaojing
AU - Wang, Zheng
AU - Shao, Rui
AU - Bai, Song
AU - Zhu, Hongyuan
AU - Nie, Liqiang
AU - Satoh, Shin’ichi
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/10/28
Y1 - 2024/10/28
N2 - 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. Aligned with the ACM Multimedia 2024 theme, the workshop aims to attract a diverse audience from multimedia computing, NLP, and misinformation detection fields. It features keynote speeches, paper presentations, and interactive sessions, fostering interdisciplinary collaboration and advancing the state-of-the-art. We invited submissions of original research papers, datasets, and position papers, anticipating vibrant discussions among experts from academia, industry, and government agencies.
AB - 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. Aligned with the ACM Multimedia 2024 theme, the workshop aims to attract a diverse audience from multimedia computing, NLP, and misinformation detection fields. It features keynote speeches, paper presentations, and interactive sessions, fostering interdisciplinary collaboration and advancing the state-of-the-art. We invited submissions of original research papers, datasets, and position papers, anticipating vibrant discussions among experts from academia, industry, and government agencies.
KW - Fake news
KW - Foundation Models
KW - Multi-modal Misinformation
UR - https://www.scopus.com/pages/publications/85210886452
U2 - 10.1145/3689090.3696058
DO - 10.1145/3689090.3696058
M3 - 会议稿件
AN - SCOPUS:85210886452
T3 - MIS 2024 - Proceedings of the 1st ACM Multimedia Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models
SP - 1
EP - 2
BT - MIS 2024 - Proceedings of the 1st ACM Multimedia Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models
PB - Association for Computing Machinery, Inc
Y2 - 28 October 2024 through 1 November 2024
ER -