Image-based Misinformation Detection
Image-Based Misinformation Detection is a computational method that identifies false or misleading information propagated through digital images by analyzing visual content, metadata, and contextual cues to distinguish deceptive or manipulated imagery from authentic sources.
64
Publications
3.6K
Citations
242
Authors
107
Institutions
Publications per year
2017–2026
58
Parents
64
Novel Visual and Statistical Image Features for Microblogs News Verification
Zhiwei Jin, Juan Cao, Yongdong Zhang et al. · IEEE Transactions on Multimedia · 2016 · 462 citations
Exploiting Multi-domain Visual Information for Fake News Detection
Peng Qi, Juan Cao, Tianyun Yang et al. · 2019 · 297 citations
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107

Chinese Academy of Sciences
Beijing, China
4 h-index
14 publications
2.3K citations
Institute of Computing Technology
Beijing, China
4 h-index
19 publications
3.2K citations
University of Maryland, College Park
College Park, United States
2 h-index
6 publications
746 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
2 h-index
7 publications
175 citations

Vietnam National University Ho Chi Minh City
Ho Chi Minh City, Vietnam
2 h-index
5 publications
99 citations

National Institute of Information and Communications Technology
Tokyo, Japan
2 h-index
2 publications
36 citations
GLA University
Mathura, India
2 h-index
3 publications
339 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
959 citations
1–8 of 107
Repository · 4 publications · 141 citations
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2 publications · 183 citations
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1 publications · 51 citations
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1 publications · 10 citations
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1 publications · 38 citations
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