Confiabilidad en los estudios sobre fake newsdatasets y métricas

  1. Castellanos-Trujillo, Vianny Geraldine 1
  2. Palomares-Sánchez, Patricia 1
  3. Rodríguez-Ferrándiz, Raúl 1
  4. Hidalgo Marí, Tatiana 1
  1. 1 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Journal:
Zer: Revista de estudios de comunicación = Komunikazio ikasketen aldizkaria

ISSN: 1137-1102

Year of publication: 2024

Volume: 29

Issue: 56

Pages: 87-109

Type: Article

DOI: 10.1387/ZER.26185 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Zer: Revista de estudios de comunicación = Komunikazio ikasketen aldizkaria

Abstract

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.

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