Trend analysis of COVID-19 mis/disinformation narratives–A 3-year study

To tackle the COVID-19 infodemic, we analysed 58,625 articles from 460 unverified sources, that is, sources that were indicated by fact checkers and other mis/disinformation experts as frequently spreading mis/disinformation, covering the period from 1 January 2020 to 31 December 2022. Our aim was t...

Descripción completa

Detalles Bibliográficos
Autores principales: Kotseva, Bonka, Vianini, Irene, Nikolaidis, Nikolaos, Faggiani, Nicolò, Potapova, Kristina, Gasparro, Caroline, Steiner, Yaniv, Scornavacche, Jessica, Jacquet, Guillaume, Dragu, Vlad, della Rocca, Leonida, Bucci, Stefano, Podavini, Aldo, Verile, Marco, Macmillan, Charles, Linge, Jens P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655972/
https://www.ncbi.nlm.nih.gov/pubmed/37976242
http://dx.doi.org/10.1371/journal.pone.0291423

Ejemplares similares

Ejemplares similares