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Prompt-Based Contrastive Learning to Combat the COVID-19 Infodemic

Year: 2024

Type: conference-abstract

Source: IEEE International Conference on Data Science and Advanced Analytics (DSAA)

DOI: 10.1109/dsaa61799.2024.10722792

Authors: Zifan Peng, Mingchen Li, Yue Wang, Daniel Y. Mo

Institutions: Hong Kong University of Science and Technology, Northeastern University, Education University of Hong Kong, Hang Seng University of Hong Kong

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4403724283

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