Cargando…
English Text Recognition Deep Learning Framework to Automatically Identify Fake News
Fake news spreading rapidly worldwide is considered one of the most severe problems of modern technology that needs to be addressed immediately. The remarkable increase in the use of social media as a critical source of information combined with the shaking of trust in traditional media, the high sp...
Autores principales: | Wu, Fei, Luo, Xiaoyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071969/ https://www.ncbi.nlm.nih.gov/pubmed/35528347 http://dx.doi.org/10.1155/2022/1493493 |
Ejemplares similares
-
CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT
por: Palani, Balasubramanian, et al.
Publicado: (2021) -
Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches
por: Bangyal, Waqas Haider, et al.
Publicado: (2021) -
Multimodal Fake-News Recognition Using Ensemble of Deep Learners
por: Al Obaid, Abdulhameed, et al.
Publicado: (2022) -
Multilingual deep learning framework for fake news detection using capsule neural network
por: Mohawesh, Rami, et al.
Publicado: (2023) -
Fake news detection for epidemic emergencies via deep correlations between text and images
por: Zeng, Jiangfeng, et al.
Publicado: (2021)