A stance data set on polarized conversations on Twitter about the efficacy of hydroxychloroquine as a treatment for COVID-19
At the time of this study, the SARS-CoV-2 virus that caused the COVID-19 pandemic has spread significantly across the world. Considering the uncertainty about policies, health risks, financial difficulties, etc. the online media, especially the Twitter platform, is experiencing a high volume of acti...
- Autores:
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14636
- Acceso en línea:
- https://www.sciencedirect.com/science/article/pii/S235234092031283X?via%3Dihub
http://hdl.handle.net/20.500.12010/14636
https://doi.org/10.1016/j.dib.2020.106401
- Palabra clave:
- Hydroxychloroquine
Opinion mining
Polarity
Social media
Stance classification
Twitter
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
- Rights
- License
- Acceso restringido