A Content Analysis of Coronavirus Tweets in the United States Just Prior to the Pandemic Declaration.

NONPARAMETRIC statistics; TWITTER (Web resource); ATTITUDE (Psychology); RISK perception; COMMUNICATION; CHI-squared test; CONTENT analysis; RISK management in business; STATISTICAL sampling; DATA analysis software; COVID-19 pandemic; PUBLIC opinion

This study examined public comments on Twitter about coronavirus in the weeks after news stories across the globe on the coronavirus outbreak. A total of 600 tweets were assessed (N = 600) for sentiment, risks presented, attribution of blame, and outrage. A sample of 300 tweets was taken from Sunday, February 9, through Wednesday, February 19, 2020, and an additional 300 tweets from Sunday, March 1, through Wednesday, March 11, 2020, to assess how public communication changed over time. Results show that risk, blame, and outrage differed significantly between February and March in a variety of ways. Specifically, more significant risks were noted in February than in March, with the majority of March tweets not noting any specific risks. Although most tweets did not present any specific blame, more blame was presented in February than in March, although more tweets in March attributed blame to countries and governments. Finally, outrage varied in several ways, with hazards generally being higher in February and outrage being higher in March. [ABSTRACT FROM AUTHOR]

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