@techreport{a6e18951b7434774b28e53417473a06e,
title = "A corpus-based study of depressive language in online teen health communications",
abstract = "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. {\textquoteleft}have{\textquoteright}, {\textquoteleft}feel{\textquoteright}, {\textquoteleft}know{\textquoteright}, {\textquoteleft}want{\textquoteright} and {\textquoteleft}really{\textquoteright}) are chosen for investigation. The results suggest that those posts are characterised by recurring expressions associated with intense emotions, which indicate this group{\textquoteright}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. {\textquoteleft}I feel so alone and angry{\textquoteright}). The findings shed light on the use of language expressions in a unique discourse of online health communications. (120 words)",
keywords = "adolescents, corpus approach, depression, online health communication, adolescents, corpus approach, depression, online health communication",
author = "Chen Yu-Hua",
year = "2017",
month = jan,
day = "1",
language = "English",
publisher = "University of Nottingham",
address = "United Kingdom",
type = "WorkingPaper",
institution = "University of Nottingham",
}