Understanding public perception of coronavirus disease 2019 (COVID-19) social distancing on Twitter.
Infect Control Hosp Epidemiol
; 42(2): 131-138, 2021 Feb.
Article
in English
| MEDLINE | ID: covidwho-1083743
ABSTRACT
OBJECTIVE:
Social distancing policies are key in curtailing severe acute respiratory coronavirus virus 2 (SARS-CoV-2) spread, but their effectiveness is heavily contingent on public understanding and collective adherence. We studied public perception of social distancing through organic, large-scale discussion on Twitter.DESIGN:
Retrospective cross-sectional study.METHODS:
Between March 27 and April 10, 2020, we retrieved English-only tweets matching two trending social distancing hashtags, #socialdistancing and #stayathome. We analyzed the tweets using natural language processing and machine-learning models, and we conducted a sentiment analysis to identify emotions and polarity. We evaluated the subjectivity of tweets and estimated the frequency of discussion of social distancing rules. We then identified clusters of discussion using topic modeling and associated sentiments.RESULTS:
We studied a sample of 574,903 tweets. For both hashtags, polarity was positive (mean, 0.148; SD, 0.290); only 15% of tweets had negative polarity. Tweets were more likely to be objective (median, 0.40; IQR, 0-0.6) with ~30% of tweets labeled as completely objective (labeled as 0 in range from 0 to 1). Approximately half of tweets (50.4%) primarily expressed joy and one-fifth expressed fear and surprise. Each correlated well with topic clusters identified by frequency including leisure and community support (ie, joy), concerns about food insecurity and quarantine effects (ie, fear), and unpredictability of coronavirus disease 2019 (COVID-19) and its implications (ie, surprise).CONCLUSIONS:
Considering the positive sentiment, preponderance of objective tweets, and topics supporting coping mechanisms, we concluded that Twitter users generally supported social distancing in the early stages of their implementation.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Public Opinion
/
Social Media
/
Physical Distancing
/
COVID-19
Type of study:
Experimental Studies
/
Observational study
/
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
Infect Control Hosp Epidemiol
Journal subject:
Communicable Diseases
/
Nursing
/
Epidemiology
/
Hospitals
Year:
2021
Document Type:
Article
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