Leveraging deep learning to detect stance in Spanish tweets on COVID-19 vaccination
The best performing model detects tweet stance with performance high enough to ensure its usefulness for public health applications, namely awareness campaigns, misinformation detection and other early intervention and prevention actions seeking to improve an individual's well-being based on autoreported experiences and opinions. The dataset and code of the study are available on GitHub.
Authors
- Anália Lourenço (ORCID: https://orcid.org/0000-0001-8401-5362)
- Rubén Yáñez Martínez (ORCID: https://orcid.org/0000-0002-2158-0724)
- Guillermo Blanco (ORCID: https://orcid.org/0000-0003-1449-3697)
Institutions
- Galicia Sur Biomedical Foundation (ES)
- Servicio Gallego de Salud (ES)
- Universidade de Vigo (ES)
- University of Minho (PT)
Publication Details
- Journal
- JAMIA Open
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/jamiaopen/ooaf007
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Universidade de Vigo
- Xunta de Galicia
- European Regional Development Fund
- Agencia Estatal de Investigación