Similarity-Aware Multimodal Prompt Learning for fake news detection-Reference-Cited by-同舟云学术

Similarity-Aware Multimodal Prompt Learning for fake news detection

Published:2023-11 Issue: Volume:647 Page:119446
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Jiang Ye^ORCID,Yu Xiaomin^ORCID,Wang Yimin^ORCID,Xu Xiaoman,Song Xingyi^ORCID,Maynard Diana

Funder

Natural Science Foundation of Shandong Province

Horizon 2020

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

1. Multimodal fusion for multimedia analysis: a survey;Atrey;Multimed. Syst.,2010

2. Fake news detection: experiments and approaches beyond linguistic features;Bhatt,2022

3. Latent Dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

4. A survey on fake news and rumour detection techniques;Bondielli;Inf. Sci.,2019

5. Language models are few-shot learners;Brown;Adv. Neural Inf. Process. Syst.,2020

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