Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

The Emotional Anatomy of the Wuhan Lockdown: Sentiment Analysis Using Weibo Data

View through CrossRef
Background On January 23, 2020, the city of Wuhan, China, was sealed off in response to the COVID-19 pandemic. Studies have found that the lockdown was associated with both positive and negative emotions, although their findings are not conclusive. In these studies, emotional responses to the Wuhan lockdown were identified using lexicons based on limited emotion types. Objective This study aims to map Chinese people’s emotional responses to the Wuhan lockdown and compare Wuhan residents’ emotions with those of people elsewhere in China by analyzing social media data from Weibo using a lexicon based on the circumplex model of affect. Methods Social media posts on Weibo from 2 weeks before to 2 weeks after the Wuhan lockdown was imposed (January 9, 2020, to February 6, 2020) were collected. Each post was coded using a valence score and an arousal score. To map emotional trajectories during the study period, we used a data set of 359,190 posts. To compare the immediate emotional responses to the lockdown and its longer-term emotional impact on Wuhan residents (n=1236) and non-Hubei residents (n=12,714), we used a second data set of 57,685 posts for multilevel modeling analyses. Results Most posts (248,757/359,190, 69.25%) made during the studied lockdown period indicated a pleasant mood with low arousal. A gradual increase in both valence and arousal before the lockdown was observed. The posts after the lockdown was imposed had higher valence and arousal than prelockdown posts. On the day of lockdown, the non-Hubei group had a temporarily boosted valence (γ20=0.118; SE 0.021; P<.001) and arousal (γ30=0.293; SE 0.022; P<.001). Compared with non-Hubei residents, the Wuhan group had smaller increases in valence (γ21=−0.172; SE 0.052; P<.001) and arousal (γ31=−0.262; SE 0.053; P<.001) on the day of lockdown. Weibo users’ emotional valence (γ40=0.000; SE 0.001; P=.71) and arousal (γ40=0.001; SE 0.001; P=.56) remained stable over the 2 weeks after the lockdown was imposed regardless of geographical location (valence: γ41=−0.004, SE 0.003, and P=.16; arousal: γ41=0.003, SE 0.003, and P=.26). Conclusions During the early stages of the pandemic, most Weibo posts indicated a pleasant mood with low arousal. The overall increase in the posts’ valence and arousal after the lockdown announcement might indicate collective cohesion and mutual support in web-based communities during a public health crisis. Compared with the temporary increases in valence and arousal of non-Hubei users on the day of lockdown, Wuhan residents’ emotions were less affected by the announcement. Overall, our data suggest that Weibo users were not influenced by the lockdown measures in the 2 weeks after the lockdown announcement. Our findings offer policy makers insights into the usefulness of social connections in maintaining the psychological well-being of people affected by a lockdown.
Title: The Emotional Anatomy of the Wuhan Lockdown: Sentiment Analysis Using Weibo Data
Description:
Background On January 23, 2020, the city of Wuhan, China, was sealed off in response to the COVID-19 pandemic.
Studies have found that the lockdown was associated with both positive and negative emotions, although their findings are not conclusive.
In these studies, emotional responses to the Wuhan lockdown were identified using lexicons based on limited emotion types.
Objective This study aims to map Chinese people’s emotional responses to the Wuhan lockdown and compare Wuhan residents’ emotions with those of people elsewhere in China by analyzing social media data from Weibo using a lexicon based on the circumplex model of affect.
Methods Social media posts on Weibo from 2 weeks before to 2 weeks after the Wuhan lockdown was imposed (January 9, 2020, to February 6, 2020) were collected.
Each post was coded using a valence score and an arousal score.
To map emotional trajectories during the study period, we used a data set of 359,190 posts.
To compare the immediate emotional responses to the lockdown and its longer-term emotional impact on Wuhan residents (n=1236) and non-Hubei residents (n=12,714), we used a second data set of 57,685 posts for multilevel modeling analyses.
Results Most posts (248,757/359,190, 69.
25%) made during the studied lockdown period indicated a pleasant mood with low arousal.
A gradual increase in both valence and arousal before the lockdown was observed.
The posts after the lockdown was imposed had higher valence and arousal than prelockdown posts.
On the day of lockdown, the non-Hubei group had a temporarily boosted valence (γ20=0.
118; SE 0.
021; P<.
001) and arousal (γ30=0.
293; SE 0.
022; P<.
001).
Compared with non-Hubei residents, the Wuhan group had smaller increases in valence (γ21=−0.
172; SE 0.
052; P<.
001) and arousal (γ31=−0.
262; SE 0.
053; P<.
001) on the day of lockdown.
Weibo users’ emotional valence (γ40=0.
000; SE 0.
001; P=.
71) and arousal (γ40=0.
001; SE 0.
001; P=.
56) remained stable over the 2 weeks after the lockdown was imposed regardless of geographical location (valence: γ41=−0.
004, SE 0.
003, and P=.
16; arousal: γ41=0.
003, SE 0.
003, and P=.
26).
Conclusions During the early stages of the pandemic, most Weibo posts indicated a pleasant mood with low arousal.
The overall increase in the posts’ valence and arousal after the lockdown announcement might indicate collective cohesion and mutual support in web-based communities during a public health crisis.
Compared with the temporary increases in valence and arousal of non-Hubei users on the day of lockdown, Wuhan residents’ emotions were less affected by the announcement.
Overall, our data suggest that Weibo users were not influenced by the lockdown measures in the 2 weeks after the lockdown announcement.
Our findings offer policy makers insights into the usefulness of social connections in maintaining the psychological well-being of people affected by a lockdown.

Related Results

How to Flatten the post-lockdown epidemic trajectory
How to Flatten the post-lockdown epidemic trajectory
Abstract Populations are locked down during an epidemic to slow down the rate of infection so that epidemic trajectory is "flattened". This helps to keep cases at a...
Sentiment/tone (Automated Content Analysis)
Sentiment/tone (Automated Content Analysis)
Sentiment/tone describes the way issues or specific actors are described in coverage. Many analyses differentiate between negative, neutral/balanced or positive sentiment/tone as b...
Sentiment Analysis with Python: A Hands-on Approach
Sentiment Analysis with Python: A Hands-on Approach
Sentiment Analysis is a rapidly growing field in Natural Language Processing (NLP) that aims to extract opinions, emotions, and attitudes expressed in text. It has a wide range o...
One-year post lockdown trajectories of mental health and impact of COVID-19 lockdown-related factors
One-year post lockdown trajectories of mental health and impact of COVID-19 lockdown-related factors
IntroductionConcerns about the impact of restrictive measures on people’s wellbeing, especially mental health, were raised by the COVID-19 pandemic and related lockdown measures.Me...
Research on Weibo New Word Recognition based on Weibo Data and Statistical Information
Research on Weibo New Word Recognition based on Weibo Data and Statistical Information
One of the key challenges in the field of Chinese information processing is the recognition of Weibo new words, which has a profound impact on machine translation and text classifi...
Features of China's new media(by example of the Weibo service)
Features of China's new media(by example of the Weibo service)
в настоящей статье рассматриваются особенности новых китайских медиа, которые представляют собой полотно разнообразных сайтов, ориентированных на реализацию различных потребностей ...
How does Weibo keep users hooked? A Weibo addictive behavior study based on netnography
How does Weibo keep users hooked? A Weibo addictive behavior study based on netnography
Purpose With the rapid development of social media in the past few years, some dark aspects of usage have appeared, e.g., Weibo addiction. Therefore, the purpose of this paper is t...
Public Opinion Analysis of COVID-19 Transmission in China Based on Weibo Texts (Preprint)
Public Opinion Analysis of COVID-19 Transmission in China Based on Weibo Texts (Preprint)
BACKGROUND Background: The outbreak of COVID-19 in 2019 had a huge impact on the world, and netizens also showed great concern about the pandemic situation....

Back to Top