Internet Public Opinion Evolution in the COVID-19 Event and Coping Strategies.
Disaster Med Public Health Prep
; 15(6): e27-e33, 2021 12.
Article
in English
| MEDLINE | ID: covidwho-711996
ABSTRACT
OBJECTIVES:
In this study, we carried out a text analysis on the information disseminated and discussed among netizens on the Baidu Post Bar (the world's largest Chinese forum) during the coronavirus disease 2019 (COVID-19) epidemic, to create a policy basis for health administrative departments.METHODS:
We used Python tools to search for the relevant data on the Baidu Post Bar. Next, a text analysis was performed on the posts' contents using a combination of latent Dirichlet allocation (LDA), sentiment analysis, and correlation analysis.RESULTS:
According to the LDA analysis, the public was highly interested in topics such as COVID-19 prevention, infection symptoms, infection and coping measures, sources of transmission and treatments, community management, and work resumption. The majority of the public had negative emotional values, yet a portion of the public held positive emotional values. We also performed a correlation analysis of the influencing factors was established.CONCLUSIONS:
Netizens' degree of concern shown in their posts was greatly associated with the spread of COVID-19. With the rise, diffusion, outbreak, and mitigation of COVID-19 in China, netizens have successively created a large number of posts, and the topics of discussion varied over time. Therefore, the media and the government have the responsibility to distribute positive information, to correctly guide the public's emotions to bring some sort of reassurance to the public.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Social Media
/
COVID-19
Type of study:
Qualitative research
/
Randomized controlled trials
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Disaster Med Public Health Prep
Journal subject:
Public Health
Year:
2021
Document Type:
Article
Affiliation country:
Dmp.2020.299
Similar
MEDLINE
...
LILACS
LIS