Cargando…
Fake News Detection Regarding the Hong Kong Events from Tweets
The rapid development of network services has led to the exponential growth of online information and the increasing number of social media users. These services are exploited by malicious accounts that spread fake news and propaganda in vast user networks. Consequently, an automated solution for fa...
Autores principales: | Nikiforos, Maria Nefeli, Vergis, Spiridon, Stylidou, Andreana, Augoustis, Nikolaos, Kermanidis, Katia Lida, Maragoudakis, Manolis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256413/ http://dx.doi.org/10.1007/978-3-030-49190-1_16 |
Ejemplares similares
-
Hong Kong Protests: Using Natural Language Processing for Fake News Detection on Twitter
por: Zervopoulos, Alexandros, et al.
Publicado: (2020) -
Post-pandemic pedagogy: Emergency remote teaching impact on students with functional diversity
por: Tzimiris, Spyridon, et al.
Publicado: (2023) -
TweepFake: About detecting deepfake tweets
por: Fagni, Tiziano, et al.
Publicado: (2021) -
“Fake Tan” or “Fake News”?
por: Meyer, Georg, et al.
Publicado: (2020) -
Mining Text Patterns over Fake and Real Tweets
por: Diaz-Garcia, Jose A., et al.
Publicado: (2020)