Cargando…
Social Media Monitoring of the COVID-19 Pandemic and Influenza Epidemic With Adaptation for Informal Language in Arabic Twitter Data: Qualitative Study
BACKGROUND: Twitter is a real-time messaging platform widely used by people and organizations to share information on many topics. Systematic monitoring of social media posts (infodemiology or infoveillance) could be useful to detect misinformation outbreaks as well as to reduce reporting lag time a...
Autores principales: | Alsudias, Lama, Rayson, Paul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451962/ https://www.ncbi.nlm.nih.gov/pubmed/34346892 http://dx.doi.org/10.2196/27670 |
Ejemplares similares
-
Correction: Social Media Monitoring of the COVID-19 Pandemic and Influenza Epidemic With Adaptation for Informal Language in Arabic Twitter Data: Qualitative Study
por: Alsudias, Lama, et al.
Publicado: (2023) -
Twitter: a complementary tool to monitor seasonal influenza epidemic in France ?
por: Vilain, Pascal, et al.
Publicado: (2019) -
Health Information Technology Trends in Social Media: Using Twitter Data
por: Lee, Jisan, et al.
Publicado: (2019) -
Quantum computing and machine learning for Arabic language sentiment classification in social media
por: Omar, Ahmed, et al.
Publicado: (2023) -
Evidence of complex contagion of information in social media: An experiment using Twitter bots
por: Mønsted, Bjarke, et al.
Publicado: (2017)