Journal article
Automatically quantifying the scientific quality and sensationalism of news records mentioning pandemics: validating a maximum entropy machine-learning model
Abstract
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 inductive machine learning was used to identify relationships among 500 randomly sampled news records that correlated with systematic human …
Authors
Hoffman SJ; Justicz V
Journal
Journal of Clinical Epidemiology, Vol. 75, , pp. 47–55
Publisher
Elsevier
Publication Date
7 2016
DOI
10.1016/j.jclinepi.2015.12.010
ISSN
0895-4356