Cargando…
A Multiple change-point detection framework on linguistic characteristics of real versus fake news articles
Extracting information from textual data of news articles has been proven to be significant in developing efficient fake news detection systems. Pointedly, to fight disinformation, researchers concentrated on extracting information which focuses on exploiting linguistic characteristics that are comm...
Autores principales: | Petrou, Nikolas, Christodoulou, Chrysovalantis, Anastasiou, Andreas, Pallis, George, Dikaiakos, Marios D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100634/ https://www.ncbi.nlm.nih.gov/pubmed/37055455 http://dx.doi.org/10.1038/s41598-023-32952-3 |
Ejemplares similares
-
Fighting the Fake: A Forensic Linguistic Analysis to Fake News Detection
por: Sousa-Silva, Rui
Publicado: (2022) -
On the Coherence of Fake News Articles
por: Singh, Iknoor, et al.
Publicado: (2020) -
Fake news and real news: which is which?
por: Calisher, Charles H.
Publicado: (2022) -
The role of analytical reasoning and source credibility on the evaluation of real and fake full-length news articles
por: Pehlivanoglu, Didem, et al.
Publicado: (2021) -
“Fake Tan” or “Fake News”?
por: Meyer, Georg, et al.
Publicado: (2020)