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Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu.
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In: International journal of environmental research and public health, vol 19, iss 4 (2022)
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Linguistic intergroup bias and persistence of stereotype-affirming memory ...
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Linguistic intergroup bias and persistence of stereotype-affirming memory - Addendum 04.26.2022 ...
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THEORITICAL BASIS OF LINGUISTIC FEATURES OF REPETITION IN TRANSLATION ...
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COMPARATIVE ANALYSIS OF THE CONCEPT "FOOLISHNESS" ON THE BASE OF UZBEK AND ENGLISH PROVERBS ...
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COMPARATIVE ANALYSIS OF THE CONCEPT "FOOLISHNESS" ON THE BASE OF UZBEK AND ENGLISH PROVERBS ...
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ОСНОВНЫЕ ЛИНГВИСТИЧЕСКИЕ НАПРАВЛЕНИЯ ИЗУЧЕНИЯ МЕТАФОРЫ В АНГЛИЙСКОМ ЯЗЫКЕ ... : THE MAIN LINGUISTIC DIRECTIONS OF THE STUDY OF METAPHOR IN ENGLISH ...
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The Impact of George W. Bush's Political Discourses on the Invasion of Iraq: A Corpus-Based Rhetoric Discourse Analysis ...
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The Impact of George W. Bush's Political Discourses on the Invasion of Iraq: A Corpus-Based Rhetoric Discourse Analysis ...
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Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2127 (2022)
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Abstract:
China’s migrant population has significantly contributed to its economic growth; however, the impact on the well-being of left-behind children (LBC) has become a serious public health problem. Text mining is an effective tool for identifying people’s mental state, and is therefore beneficial in exploring the psychological mindset of LBC. Traditional data collection methods, which use questionnaires and standardized scales, are limited by their sample sizes. In this study, we created a computational application to quantitively collect personal narrative texts posted by LBC on Zhihu, which is a Chinese question-and-answer online community website; 1475 personal narrative texts posted by LBC were gathered. We used four types of words, i.e., first-person singular pronouns, negative words, past tense verbs, and death-related words, all of which have been associated with depression and suicidal ideations in the Chinese Linguistic Inquiry Word Count (CLIWC) dictionary. We conducted vocabulary statistics on the personal narrative texts of LBC, and bilateral t-tests, with a control group, to analyze the psychological well-being of LBC. The results showed that the proportion of words related to depression and suicidal ideations in the texts of LBC was significantly higher than in the control group. The differences, with respect to the four word types (i.e., first-person singular pronouns, negative words, past tense verbs, and death-related words), were 5.37, 2.99, 2.65, and 2.00 times, respectively, suggesting that LBC are at a higher risk of depression and suicide than their counterparts. By sorting the texts of LBC, this research also found that child neglect is a main contributing factor to psychological difficulties of LBC. Furthermore, mental health problems and the risk of suicide in vulnerable groups, such as LBC, is a global public health issue, as well as an important research topic in the era of digital public health. Through a linguistic analysis, the results of this study confirmed that the experiences of left-behind children negatively impact their mental health. The present findings suggest that it is vital for the public and nonprofit sectors to establish online suicide prevention and intervention systems to improve the well-being of LBC through digital technology.
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Keyword:
left-behind children; linguistic analysis; personal narrative text; psychological well-being; text mining; textual analysis
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URL: https://doi.org/10.3390/ijerph19042127
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THE COMPARATIVE ANALYSIS OF THE SOMATIC COMPONENT "HEAD" IN ENGLISH AND RUSSIAN LANGUAGES ...
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THE COMPARATIVE ANALYSIS OF THE SOMATIC COMPONENT "HEAD" IN ENGLISH AND RUSSIAN LANGUAGES ...
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Extending and Using a Sentiment Lexicon for Latin in a Linked Data Framework ...
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Extending and Using a Sentiment Lexicon for Latin in a Linked Data Framework ...
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Using Campaign Communications to Analyze Civility in Ranked Choice Voting Elections
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In: Politics and Governance ; 9 ; 2 ; 280-292 ; The Politics, Promise and Peril of Ranked Choice Voting (2022)
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Social Inclusion and Multilingualism: Linguistic Justice and Language Policy
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In: Social Inclusion ; 9 ; 1 ; 1-4 ; Social Inclusion and Multilingualism: The Impact of Linguistic Justice, Economy of Language and Language Policy (2022)
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Linguistic Sexism in the Pre-intermediate Market Leader: Business English Course Book
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In: Journal of International Women's Studies (2021)
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Textual Characteristics of News Title and Body to Detect Fake News: A Reproducibility Study
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In: Computer Science Faculty Publications and Presentations (2021)
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Conceptualising Academic and Folk Understandings of Culture: An Auckland-Based Survey
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