Confiabilidad en los estudios sobre fake news: datasets y métricas



Publicado 12-06-2024
Vianny Geraldine Castellanos-Trujillo
Patricia Palomares-Sánchez
Raúl Rodríguez-Ferrándiz
Tatiana Hidalgo Marí


Gran cantidad de estudios empíricos sobre fake news emplean como datasets repertorios de noticias falsas y de noticias auténticas, al objeto de compararlos. Dichos estudios apelan a menudo a la confiabilidad (como factor para caracterizar y evaluar el mensaje, el medio, la fuente y la percepción de la audiencia. A partir de los 50 artículos de metodología empírica más citados en WoS y Scopus (2017-2022) sobre fake news y confiabilidad proponemos una metainvestigación donde analizamos los criterios, índices, métricas y bases de datos que declaran los investigadores para justificar su selección tanto de noticias auténticas como falsas.

Cómo citar

Castellanos-Trujillo, V. G. ., Palomares-Sánchez, P., Rodríguez-Ferrándiz, R. ., & Hidalgo Marí, T. (2024). Confiabilidad en los estudios sobre fake news: datasets y métricas. ZER: Revista De Estudios De Comunicación = Komunikazio Ikasketen Aldizkaria, 29(56), 87–109.
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confiabilidad, credibilidad, fake news, métricas, fact-checking

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