Cargando…
Automatically quantifying the scientific quality and sensationalism of news records mentioning pandemics: validating a maximum entropy machine-learning model
OBJECTIVE: To develop and validate a method for automatically quantifying the scientific quality and sensationalism of individual news records. STUDY DESIGN: After retrieving 163,433 news records mentioning the Severe Acute Respiratory Syndrome (SARS) and H1N1 pandemics, a maximum entropy model for...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Inc.
2016
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127105/ https://www.ncbi.nlm.nih.gov/pubmed/26854419 http://dx.doi.org/10.1016/j.jclinepi.2015.12.010 |