An Analysis of Anxiety-Related Postings on Sina Weibo
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Public Health
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This study examines anxiety-related postings on Sina Weibo to gain insight into social networking about mental health. The themes of a random sample of anxiety-related postings ( = 1000) were assessed. The disclosure of anxiety was the most common theme. The prevalence of anxiety was higher in certain areas where the economy is stronger than others, and the people living there suffered from more stress. Users who talked about feeling anxious tended to be more active on social media during leisure hours and less active during work hours. Our findings may be developed to detect and help individuals who may suffer from anxiety disorders at a low cost.
Automatic anxiety recognition method based on microblog text analysis.
Yu Y, Li Q, Liu X Front Public Health. 2023; 11:1080013.
PMID: 37020823 PMC: 10067666. DOI: 10.3389/fpubh.2023.1080013.
Takats C, Kwan A, Wormer R, Goldman D, Jones H, Romero D J Med Internet Res. 2022; 24(11):e40380.
PMID: 36445739 PMC: 9748795. DOI: 10.2196/40380.
Analysis of the causes of inferiority feelings based on social media data with Word2Vec.
Liu Y, Xu C, Kuai X, Deng H, Wang K, Luo Q Sci Rep. 2022; 12(1):5218.
PMID: 35338206 PMC: 8956725. DOI: 10.1038/s41598-022-09075-2.
Zheng Z, Yang Q, Liu Z, Qiu J, Gu J, Hao Y J Med Internet Res. 2020; 22(1):e13201.
PMID: 32012054 PMC: 7053714. DOI: 10.2196/13201.
Characterizing Depression Issues on Sina Weibo.
Tian X, Batterham P, Song S, Yao X, Yu G Int J Environ Res Public Health. 2018; 15(4).
PMID: 29659489 PMC: 5923806. DOI: 10.3390/ijerph15040764.