This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2243) Infodemiology and Infoveillance (1128) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1404) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (924) Outbreak and Pandemic Preparedness and Management (1530) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1386)

Published on in Vol 22 , No 11 (2020) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21504, first published .
Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques

Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques

Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques

Authors of this article:

Angela Chang 1, 2 Author Orcid Image ;   Peter Johannes Schulz 2 Author Orcid Image ;   ShengTsung Tu 3 Author Orcid Image ;   Matthew Tingchi Liu 4 Author Orcid Image
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