Temas de contenido y voces influyentes dentro de la oposición a las vacunas en Twitter, 2019.

Objectives. To report on vaccine opposition and misinformation promoted on Twitter, highlighting Twitter accounts that drive conversation. Methods. We used supervised machine learning to code all Twitter posts. We first identified codes and themes manually by using a grounded theoretical approach an...

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Detalles Bibliográficos

Publicado en:	Pan American Journal of Public Health Vol. 45; pp. 1 - 8
Autores principales:	Bonnevie, Erika, Goldbarg, Jaclyn, Gallegos-Jeffry, Allison K., Rosenberg, Sarah D., Wartella, Ellen, Smyser, Joe
Formato:	Artículo
Publicado:	World Health Organization 2021
Materias:	X Corp. Public health surveillance Information resources Supervised learning Computer programming education Acquisition of data
Acceso en línea:	Ver este registro en EBSCOhost