Optimization and improvement of fake news detection using deep learning approaches for societal benefit
Fake news is a topic that has been discussed for quite some time. Prior to the internet era, it was mostly distributed through yellow journalism, with a focus on sensational news such as crime, rumours, accidents, and amusing news. To rescue the life of people from these fake news propagation, detec...
Guardado en:
Autores principales: | Tavishee Chauhan, M.E, Hemant Palivela, PhD |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e42684fa1752492b855e636c44a6d3d5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Pengaruh Perceived Enjoyment, Perceived Reciprocal Benefit, dan Learning Culture Terhadap Knowledge Sharing
por: Debby Ummul Hidayah, et al.
Publicado: (2021) -
Analisa Performa Penggunaan Feature Selection untuk Mendeteksi Intrusion Detection Systems dengan Algoritma Random Forest Classifier
por: Setiawan Budiman, et al.
Publicado: (2021) -
Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization
por: Li Ding, et al.
Publicado: (2021) -
Content-based fake news classification through modified voting ensemble
por: Jose Fabio Ribeiro Bezerra
Publicado: (2021) -
THE EXPERT SYSTEM OF CONTROL AND KNOWLEDGE ASSESSMENT
por: V. Golovachyova, et al.
Publicado: (2020)