Abstract
People all over the world were under severe stress and were concerned about their health after a devastating pandemic struck the world in the form of a novel coronavirus disease (COVID-19) in late December 2019. Many nations imposed strict lockdowns and quarantines, causing citizens to maintain social isolation, throwing many companies to a halt. Thousands of people took to Twitter during these challenging circumstances to express their feelings about being caught in the middle of a storm. Twitter witnessed an outpouring of emotions ranging from fear, anger, and sadness associated with the spread of a novel virus that has no known cure, to voices of support and trust for nations’ official response to the pandemic. In studying the emotional response (anger, fear, and sadness) on Twitter about the COVID-19 crisis, we thus see a tale of two crises unfold—choosing health or economy. We capture collective emotions on social media and investigate the patterns and impact of these negative emotions during various stages of the disease outbreak. It also provides crucial insights to health officials and government agencies on communicating crisis information to the public via social media.
| Original language | English |
|---|---|
| Pages (from-to) | 1972-1989 |
| Number of pages | 18 |
| Journal | American Behavioral Scientist |
| Volume | 65 |
| Issue number | 14 |
| DOIs | |
| State | Published - Dec 2021 |
Keywords
- COVID-19
- data mining
- emotions
- sentiment analysis
- text analytics
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