Exploring the Factors Associated with Mental Health Attitude in China: A Structural Topic Modeling Approach.
COVID-19
China
Weibo
mental health attitude
social media
structural topic modeling
text analysis
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
01 10 2022
01 10 2022
Historique:
received:
19
09
2022
revised:
28
09
2022
accepted:
29
09
2022
entrez:
14
10
2022
pubmed:
15
10
2022
medline:
18
10
2022
Statut:
epublish
Résumé
Mental health attitude has huge impacts on the improvement of mental health. In response to the ongoing damage the COVID-19 pandemic caused to the mental health of the Chinese people, this study aims to explore the factors associated with mental health attitude in China. To this end, we extract the key topics in mental health-related microblogs on Weibo, the Chinese equivalent of Twitter, using the structural topic modeling (STM) approach. An interaction term of sentiment polarity and time is put into the STM model to track the evolution of public sentiment towards the key topics over time. Through an in-depth analysis of 146,625 Weibo posts, this study captures 12 topics that are, in turn, classified into four factors as stigma (
Identifiants
pubmed: 36231878
pii: ijerph191912579
doi: 10.3390/ijerph191912579
pmc: PMC9566640
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
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