Zika discourse in the Americas: A multilingual topic analysis of Twitter
Dasha Pruss,
Yoshinari Fujinuma,
Ashlynn R. Daughton,
Michael J. Paul,
Brad Arnot,
Danielle Albers Szafir,
and Jordan Boyd-Graber
PLOS ONE
2019
[Abs]
[pdf]
This work examines Twitter discussion surrounding the 2015 outbreak of Zika, a virus that is most often mild but has been associated with serious birth defects and neurological syndromes. We introduce and analyze a collection of 3.9 million tweets mentioning Zika geolocated to Noarth and South America, where the virus is most prevalent. Using a multilingual topic model, we automatically identify and extract the key topics of discussion across the dataset in English, Spanish, and Portuguese. We examine the variation in Twitter activity across time and location, finding that rises in activity tend to follow to major events, and geographic rates of Zika-related discussion are moderately correlated with Zika incidence (ρ = .398).
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