Aspect-based classification of vaccine misinformation: a spatiotemporal analysis using Twitter chatter.

Ismail, Heba; Hussein, Nada; Elabyad, Rawan; Abdelhalim, Salma; Elhadef, Mourad

Ismail, Heba; Hussein, Nada; Elabyad, Rawan; Abdelhalim, Salma; Elhadef, Mourad.

Afiliación

Ismail H; College of Engineering, Computer Science and Information Technology Department, Abu Dhabi University, Abu Dhabi, United Arab Emirates. heba.ismail@adu.ac.ae.
Hussein N; College of Engineering, Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi, United Arab Emirates.
Elabyad R; College of Engineering, Computer Science and Information Technology Department, Abu Dhabi University, Abu Dhabi, United Arab Emirates.
Abdelhalim S; College of Engineering, Computer Science and Information Technology Department, Abu Dhabi University, Abu Dhabi, United Arab Emirates.
Elhadef M; College of Engineering, Computer Science and Information Technology Department, Abu Dhabi University, Abu Dhabi, United Arab Emirates.

BMC Public Health ; 23(1): 1193, 2023 06 21.

Article en En | MEDLINE | ID: mdl-37340455

Asunto(s)

Vacunas contra la COVID-19; COVID-19; Medios de Comunicación Sociales; Humanos; COVID-19/prevención & control; Vacunas contra la COVID-19/efectos adversos; Reproducibilidad de los Resultados; Análisis Espacio-Temporal; Vacunas/efectos adversos

Palabras clave

Aspect-based analysis; COVID-19 vaccine; LightGBM; Machine learning; Misinformation; Twitter

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales / Vacunas contra la COVID-19 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2023 Tipo del documento: Article País de afiliación: Emiratos Árabes Unidos

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