Knowledge Enhanced Vision and Language Model for Multi-Modal Fake News Detection-Reference-Cited by-同舟云学术

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Knowledge Enhanced Vision and Language Model for Multi-Modal Fake News Detection

Published:2024 Issue: Volume:26 Page:8312-8322
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Gao Xingyu¹^ORCID,Wang Xi¹^ORCID,Chen Zhenyu²^ORCID,Zhou Wei³^ORCID,Hoi Steven C. H.⁴^ORCID

Affiliation:

1. Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China

2. Big Data Center, State Grid Corporation of China, Beijing, China

3. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

4. School of Computing and Information Systems, Singapore Management University, Singapore, Singapore

Funder

Science and Technology Innovation

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10505027.pdf?arnumber=10505027

Reference56 articles.

1. Coronavirus on social media: Analyzing misinformation in twitter conversations;Sharma,2020

2. News Verification by Exploiting Conflicting Social Viewpoints in Microblogs

3. News Credibility Evaluation on Microblog with a Hierarchical Propagation Model

4. Fake news: A survey of research, detection methods, and opportunities;Zhou,2018

5. A survey on fake news and rumour detection techniques

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GraMuFeN: graph-based multi-modal fake news detection in social media;Social Network Analysis and Mining;2024-05-20

2. Learning Frequency-Aware Cross-Modal Interaction for Multimodal Fake News Detection;IEEE Transactions on Computational Social Systems;2024

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