Can Fake News Detection Models Maintain the Performance through Time? A Longitudinal Evaluation of Twitter Publications
The negative impact of false information on social networks is rapidly growing. Current research on the topic focused on the detection of fake news in a particular context or event (such as elections) or using data from a short period of time. Therefore, an evaluation of the current proposals in a l...
Guardado en:
Autores principales: | Nuno Guimarães, Álvaro Figueira, Luís Torgo |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/01a7984f65744068a6f891df26d94ed9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
FEATURES TO DISTINGUISH BETWEEN TRUSTWORTHY AND FAKE NEWS
por: Daniel CHOVANEC, et al.
Publicado: (2021) -
Twitter’s Fake News Discourses Around Climate Change and Global Warming
por: Ahmed Al-Rawi, et al.
Publicado: (2021) -
A Comprehensive Review on Fake News Detection With Deep Learning
por: M. F. Mridha, et al.
Publicado: (2021) -
Des stéréotypes à l’ère des fake news
por: Isabelle Boyer, et al.
Publicado: (2021) -
Credibilidad de los contenidos informativos en tiempos de fake news: Comunidad de Madrid
por: Vázquez-Barrio,Tamara, et al.
Publicado: (2021)