Cross-modal Ambiguity Learning for Multimodal Fake News Detection-Reference-Cited by-同舟云学术

Cross-modal Ambiguity Learning for Multimodal Fake News Detection

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Chen Yixuan¹,Li Dongsheng²,Zhang Peng¹,Sui Jie³,Lv Qin⁴,Tun Lu¹,Shang Li¹

Affiliation:

1. School of Computer Science, Fudan University, China

2. Microsoft Research Asia, China

3. University of Chinese Academy of Sciences, China

4. University of Colorado Boulder, USA

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3511968

Reference40 articles.

1. Multimodal Machine Learning: A Survey and Taxonomy

2. Representation Learning: A Review and New Perspectives

3. Gaurav Bhatt , Aman Sharma , Shivam Sharma , Ankush Nagpal , Balasubramanian Raman , and Ankush Mittal . 2018 . Combining Neural , Statistical and External Features for Fake News Stance Identification. In The World Wide Web Conference 2018. ACM, 1353–1357. Gaurav Bhatt, Aman Sharma, Shivam Sharma, Ankush Nagpal, Balasubramanian Raman, and Ankush Mittal. 2018. Combining Neural, Statistical and External Features for Fake News Stance Identification. In The World Wide Web Conference 2018. ACM, 1353–1357.

4. Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

5. Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

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