Author
Listed:
- Sharifah Sharmaine Syed Shaharuddin
(Academy of Language Studies, UiTM Kedah Kedah, Malaysia)
- Sharifah Syakila Syed Shaharuddin
(Academy of Language Studies, UiTM Kedah Kedah, Malaysia)
- Masturah Sabri
(Department of Languages & General Studies, Universiti Malaysia Perlis, Perlis, Malaysia)
- Azlan Abdul Rahman
(Academy of Language Studies, UiTM Kedah Kedah, Malaysia)
Abstract
This study explores the language of depressive self-disclosure among young adult Malaysian Twitter users, focusing on direct and indirect disclosures and the use of affective language. Using a discourse analysis framework, 89 Tweets containing the term "depression" were retrieved between January and March 2023. Following a rigorous screening process to identify Tweets that qualified as self-disclosures, 21 Tweets were selected for analysis. Two key criteria guided the investigation: (i) the linguistic patterns associated with direct versus indirect disclosures and (ii) the frequency and patterns of affective or emotive language. Data analysis was conducted using AntConc, a corpus analysis tool, to identify recurring linguistic features and affective word usage. The findings shed light on the ways young Malaysians articulate depressive experiences in digital spaces, revealing distinctive patterns in disclosure types and emotional expression. This study contributes to the understanding of mental health communication in social media contexts and highlights the role of language in shaping self-disclosure practices online.
Suggested Citation
Sharifah Sharmaine Syed Shaharuddin & Sharifah Syakila Syed Shaharuddin & Masturah Sabri & Azlan Abdul Rahman, 2025.
"Exploring the Language of Depressive Self-Disclosure amongst Young Adult Malaysian Twitter Users,"
International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 4682-4693, September.
Handle:
RePEc:bcp:journl:v:9:y:2025:issue-9:p:4682-4693
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