Author: Richard J. Medford; Sameh N. Saleh; Andrew Sumarsono; Trish M. Perl; Christoph U. Lehmann
Title: An ""Infodemic"": Leveraging High-Volume Twitter Data to Understand Public Sentiment for the COVID-19 Outbreak Document date: 2020_4_7
ID: a6p6ka8w_3
Snippet: We postulate that analysis of the content and sentiments expressed on Twitter in the early stages of the coronavirus disease 2019 (COVID-19) pandemic will parallel the spread of the disease and can aid understanding of the effect of the outbreak on the sentiments, beliefs, and thoughts of the general public. Such understanding would enable large-scale opportunities for education and appropriate information dissemination about public health recomm.....
Document: We postulate that analysis of the content and sentiments expressed on Twitter in the early stages of the coronavirus disease 2019 (COVID-19) pandemic will parallel the spread of the disease and can aid understanding of the effect of the outbreak on the sentiments, beliefs, and thoughts of the general public. Such understanding would enable large-scale opportunities for education and appropriate information dissemination about public health recommendations.
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