Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo

PurposeThis study explores the intricate relationship between unemployment rates and emotional responses among Chinese university graduates, analyzing how these factors correlate with specific linguistic features on the popular social media platform Sina Weibo. The goal is to uncover patterns that e...

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Bibliographic Details
Main Authors: Miaoqing Tan (Author), Zhigang Wu (Author), Jin Li (Author), Yuxi Liang (Author), Wenting Lv (Author)
Format: Book
Published: Frontiers Media S.A., 2024-05-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Miaoqing Tan  |e author 
700 1 0 |a Zhigang Wu  |e author 
700 1 0 |a Jin Li  |e author 
700 1 0 |a Yuxi Liang  |e author 
700 1 0 |a Wenting Lv  |e author 
245 0 0 |a Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo 
260 |b Frontiers Media S.A.,   |c 2024-05-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2024.1337859 
520 |a PurposeThis study explores the intricate relationship between unemployment rates and emotional responses among Chinese university graduates, analyzing how these factors correlate with specific linguistic features on the popular social media platform Sina Weibo. The goal is to uncover patterns that elucidate the psychological and emotional dimensions of unemployment challenges among this demographic.MethodsThe analysis utilized a dataset of 30,540 Sina Weibo posts containing specific keywords related to unemployment and anxiety, collected from January 2019 to June 2023. The posts were pre-processed to eliminate noise and refine the data quality. Linear regression and textual analyses were employed to identify correlations between unemployment rates for individuals aged 16-24 and the linguistic characteristics of the posts.ResultsThe study found significant fluctuations in urban youth unemployment rates, peaking at 21.3% in June 2023. A corresponding increase in anxiety-related expressions was noted in the social media posts, with peak expressions aligning with high unemployment rates. Linguistic analysis revealed that the category of "Affect" showed a strong positive correlation with unemployment rates, indicating increased emotional expression alongside rising unemployment. Other categories such as "Negative emotion" and "Sadness" also showed significant correlations, highlighting a robust relationship between economic challenges and emotional distress.ConclusionThe findings underscore the profound impact of unemployment on the emotional well-being of university students, suggesting that economic hardships are closely linked to psychological stress and heightened negative emotions. This study contributes to a holistic understanding of the socio-economic challenges faced by young adults, advocating for comprehensive support systems that address both the economic and psychological facets of unemployment. 
546 |a EN 
690 |a unemployment rates 
690 |a anxiety expressions 
690 |a linguistic features 
690 |a university students 
690 |a Sina Weibo 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 12 (2024) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2024.1337859/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/e63f671a33bf42e89e7ecea6b30f1af5  |z Connect to this object online.