Towards low-resource rumor detection: Unified contrastive transfer with propagation structure
The truth is significantly hampered by massive rumors that spread along with breaking news or popular topics. Since there is sufficient corpus gathered from the same domain for model training, existing rumor detection algorithms show promising performance on yesterday's news. However, due to a...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8731 https://ink.library.smu.edu.sg/context/sis_research/article/9734/viewcontent/Low_resourceRumourDetection_av.pdf |
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| Institution: | Singapore Management University |
| Language: | English |