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, Mackey et al. (p. 1910) explain using machine learning to determine illicit online pharmacies from social websites. Drawing on a pool of greater than 600 000 tweets about opioids from the five-month period, the investigators made use of subject modeling—an Investigation to identify clusters of co-transpiring terms within a system of text—to

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