A corpus-based study of depressive language in online teen health communications

This paper presents a multidisciplinary study by using a corpus linguistic approach to investigate the topic of teen depression in an online discussion forum. The lexico- grammatical and semantic patterns of keywords in 129 online posts are explored, and five keywords (i.e. ‘have’, ‘feel’, ‘know’, ‘...

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Main Authors: Yu-Hua, Chen, Chen, Jin
Format: Monograph
Published: University of Nottingham 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/48859/
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author Yu-Hua, Chen
Chen, Jin
author_facet Yu-Hua, Chen
Chen, Jin
author_sort Yu-Hua, Chen
building Nottingham Research Data Repository
collection Online Access
description This paper presents a multidisciplinary study by using a corpus linguistic approach to investigate the topic of teen depression in an online discussion forum. The lexico- grammatical and semantic patterns of keywords in 129 online posts are explored, and five keywords (i.e. ‘have’, ‘feel’, ‘know’, ‘want’ and ‘really’) are chosen for investigation. The results suggest that those posts are characterised by recurring expressions associated with intense emotions, which indicate this group’s vulnerable mental state in relation to social contexts (e.g. family, school or relationship), and the semantic prosody of the text excerpts examined is predominantly negative (e.g. ‘I feel so alone and angry’). The findings shed light on the use of language expressions in a unique discourse of online health communications. (120 words)
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institution University of Nottingham Malaysia Campus
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last_indexed 2025-11-14T20:10:39Z
publishDate 2017
publisher University of Nottingham
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spelling nottingham-488592020-05-04T18:23:19Z https://eprints.nottingham.ac.uk/48859/ A corpus-based study of depressive language in online teen health communications Yu-Hua, Chen Chen, Jin This paper presents a multidisciplinary study by using a corpus linguistic approach to investigate the topic of teen depression in an online discussion forum. The lexico- grammatical and semantic patterns of keywords in 129 online posts are explored, and five keywords (i.e. ‘have’, ‘feel’, ‘know’, ‘want’ and ‘really’) are chosen for investigation. The results suggest that those posts are characterised by recurring expressions associated with intense emotions, which indicate this group’s vulnerable mental state in relation to social contexts (e.g. family, school or relationship), and the semantic prosody of the text excerpts examined is predominantly negative (e.g. ‘I feel so alone and angry’). The findings shed light on the use of language expressions in a unique discourse of online health communications. (120 words) University of Nottingham 2017-01-01 Monograph NonPeerReviewed Yu-Hua, Chen and Chen, Jin (2017) A corpus-based study of depressive language in online teen health communications. Working Paper. University of Nottingham. (Unpublished) depression; online health communication; corpus approach; adolescents
spellingShingle depression; online health communication; corpus approach; adolescents
Yu-Hua, Chen
Chen, Jin
A corpus-based study of depressive language in online teen health communications
title A corpus-based study of depressive language in online teen health communications
title_full A corpus-based study of depressive language in online teen health communications
title_fullStr A corpus-based study of depressive language in online teen health communications
title_full_unstemmed A corpus-based study of depressive language in online teen health communications
title_short A corpus-based study of depressive language in online teen health communications
title_sort corpus-based study of depressive language in online teen health communications
topic depression; online health communication; corpus approach; adolescents
url https://eprints.nottingham.ac.uk/48859/