BiMGCL: rumor detection via bi-directional multi-level graph contrastive learning
The rapid development of large language models has significantly reduced the cost of producing rumors, which brings a tremendous challenge to the authenticity of content on social media. Therefore, it has become crucially important to identify and detect rumors. Existing deep learning methods usuall...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023-11-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1659.pdf |