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...
| Published in: | Frontiers in Public Health |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-05-01
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| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1337859/full |
| _version_ | 1850113071735898112 |
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| author | Miaoqing Tan Zhigang Wu Jin Li Yuxi Liang Wenting Lv |
| author_facet | Miaoqing Tan Zhigang Wu Jin Li Yuxi Liang Wenting Lv |
| author_sort | Miaoqing Tan |
| collection | DOAJ |
| container_title | Frontiers in Public Health |
| description | 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. |
| format | Article |
| id | doaj-art-e63f671a33bf42e89e7ecea6b30f1af5 |
| institution | Directory of Open Access Journals |
| issn | 2296-2565 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| spelling | doaj-art-e63f671a33bf42e89e7ecea6b30f1af52025-08-19T23:58:58ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-05-011210.3389/fpubh.2024.13378591337859Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on WeiboMiaoqing TanZhigang WuJin LiYuxi LiangWenting LvPurposeThis 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.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1337859/fullunemployment ratesanxiety expressionslinguistic featuresuniversity studentsSina Weibo |
| spellingShingle | Miaoqing Tan Zhigang Wu Jin Li Yuxi Liang Wenting Lv Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo unemployment rates anxiety expressions linguistic features university students Sina Weibo |
| title | Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo |
| title_full | Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo |
| title_fullStr | Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo |
| title_full_unstemmed | Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo |
| title_short | Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo |
| title_sort | analyzing the impact of unemployment on mental health among chinese university graduates a study of emotional and linguistic patterns on weibo |
| topic | unemployment rates anxiety expressions linguistic features university students Sina Weibo |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1337859/full |
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