Cargando…
Infodemics surveillance system to detect and analyze health misinformation using big data and AI
BACKGROUND: Health misinformation disseminated on social media detrimentally affects the public's reactions toward public health measures. This has led to costly and harmful public health crises. Due to a lack of a comprehensive expert system that collects and analyzes large volumes of social m...
Autores principales: | Zakir Hussain, I, Kaur, J, Lotto, M, Butt, Z, Morita, P |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596535/ http://dx.doi.org/10.1093/eurpub/ckad160.163 |
Ejemplares similares
-
Exploring fluoride-free content on Twitter: A topic modeling analysis
por: Lotto, M, et al.
Publicado: (2023) -
Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter
por: Morita, Plinio Pelegrini, et al.
Publicado: (2023) -
Training health professionals in infodemic management to mitigate the harm caused by infodemics
por: Purnat, TD, et al.
Publicado: (2022) -
An ethics framework for social listening and infodemic management
por: Machiri, S, et al.
Publicado: (2023) -
Infodemic management for public health practitioners: landscape analysis and practical tools
por: Ishizumi, A, et al.
Publicado: (2022)