Title
Automatic detection of COVID-19 vaccine misinformation with graph link prediction
Abstract
•Automatic detection of misinformation about COVID-19 vaccines on Twitter.•Introduces a new COVID-19 vaccine misinformation Twitter dataset called CoVaxLies.•Misinformation detection as graph link prediction outperforms classification.•Misinformation detection benefits from knowledge graph embedding models.•Knowledge graph embedding performed with domain-specific language model.
Year
DOI
Venue
2021
10.1016/j.jbi.2021.103955
Journal of Biomedical Informatics
Keywords
DocType
Volume
Natural Language Processing,Machine learning,COVID-19,vaccine misinformation,Social Media,knowledge graph embedding
Journal
124
ISSN
Citations 
PageRank 
1532-0464
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Maxwell A Weinzierl101.01
Sanda Harabagiu22203221.65