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An augmented multilingual Twitter dataset for studying the COVID-19 infodemic
This work presents an openly available dataset to facilitate researchers’ exploration and hypothesis testing about the social discourse of the COVID-19 pandemic. The dataset currently consists of over 2.2 billions tweets (count as of September, 2021), from all over the world, in multiple languages....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528187/ https://www.ncbi.nlm.nih.gov/pubmed/34697560 http://dx.doi.org/10.1007/s13278-021-00825-0 |