Cargando…
Mining Text Patterns over Fake and Real Tweets
With the exponential growth of users and user-generated content present on online social networks, fake news and its detection have become a major problem. Through these, smear campaigns can be generated, aimed for example at trying to change the political orientation of some people. Twitter has bec...
Autores principales: | Diaz-Garcia, Jose A., Fernandez-Basso, Carlos, Ruiz, M. Dolores, Martin-Bautista, Maria J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274655/ http://dx.doi.org/10.1007/978-3-030-50143-3_51 |
Ejemplares similares
-
TweepFake: About detecting deepfake tweets
por: Fagni, Tiziano, et al.
Publicado: (2021) -
Fake News Detection Regarding the Hong Kong Events from Tweets
por: Nikiforos, Maria Nefeli, et al.
Publicado: (2020) -
To tweet or not to tweet: writing effective text messages for business
por: Canavor, Natalie, et al.
Publicado: (2010) -
The Painful Tweet: Text, Sentiment, and Community Structure Analyses of Tweets Pertaining to Pain
por: Tighe, Patrick J, et al.
Publicado: (2015) -
A survey on the use of association rules mining techniques in textual social media
por: Diaz-Garcia, Jose A., et al.
Publicado: (2022)