Psycholinguistic Analysis of Online Chat in Detecting Signs of Depression and Other Mental Health Issues
In the last decades, people with mental health issues were referred to mental health professionals for diagnosis and treatment, forming stigmatisation among community members. Due to that stigma, new generations opt to seek help via online platforms. This study examines the online chat users'...
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| Main Authors: | , , , , |
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| Format: | Proceeding |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/40738/1/Psycholinguistic%20Analysis%20of%20Online%20Chat%20in%20Detecting%20Signs%20of%20Depression%20and%20Other%20Mental%20Health%20Issues.pdf http://ir.unimas.my/id/eprint/40738/ |
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| Summary: | In the last decades, people with mental health issues were referred to mental health
professionals for diagnosis and treatment, forming stigmatisation among community
members. Due to that stigma, new generations opt to seek help via online platforms. This
study examines the online chat users' affective and psycholinguistic patterns, which could
suggest signs of depression and other mental health issues. A randomised sample of 4000 chat
items was extracted from the primary dataset generated from one of the online communities.
This study was completed in two phases. In the first phase, categorisation was performed by
five mental health-related professionals individually. The chat items were categorised based
on the DSM-5 criteria of Major Depressive Disorder (MDD) and Beck Depression Inventory
(BDI). In the second phase, inter-rater reliability and descriptive analysis were conducted. The
result of inter-rater reliability for the depression classification ranged from good to strong
value, with an average ρ=0.72. The chat items indicate one or more symptoms for the
diagnosis of MDD, and other mental health issues (e.g. anxiety). Further evaluation should be
conducted to understand the underlying meaning of each chat item so that holistic mental
health care services and support could be offered to facilitate online communities. |
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