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Automatically quantifying the scientific quality and sensationalism of news records mentioning pandemics: validating a maximum entropy machine-learning model.

Journal of clinical epidemiology 26854419
OBJECTIVE: To develop and validate a method for automatically quantifying the scientific quality and sensationalism of individual news records.
Databases, Factual Humans Influenza A Virus, H1N1 Subtype Influenza, Human Information Dissemination Machine Learning Mass Media Pandemics Reproducibility of Results Sensitivity and Specificity Severe Acute Respiratory Syndrome
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