Cargando…
Fake news detection for epidemic emergencies via deep correlations between text and images
In recent years, major emergencies have occurred frequently all over the world. When a major global public heath emergency like COVID-19 broke out, an increasing number of fake news in social media networks are exposed to the public. Automatically detecting the veracity of a news article ensures peo...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760342/ https://www.ncbi.nlm.nih.gov/pubmed/36570569 http://dx.doi.org/10.1016/j.scs.2020.102652 |