Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques
BackgroundInformation about a new coronavirus emerged in 2019 and rapidly spread around the world, gaining significant public attention and attracting negative bias. The use of stigmatizing language for the purpose of blaming sparked a debate. ObjectiveThis study...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2020-11-01
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Series: | Journal of Medical Internet Research |
Online Access: | http://www.jmir.org/2020/11/e21504/ |