Stigma, Support, and Ideation About Suicide in Indonesian Twitter: A Topic Modelling Study.
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| Title: | Stigma, Support, and Ideation About Suicide in Indonesian Twitter: A Topic Modelling Study. |
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| Authors: | Azizy, Afrizal Hasbi1 (AUTHOR), Thontowi, Haidar Buldan1 (AUTHOR) haidar.buldan@ugm.ac.id |
| Source: | Omega: Journal of Death & Dying. Jun2026, Vol. 93 Issue 2, p1054-1075. 22p. |
| Subject Terms: | *Fear, *Statistical correlation, *Conversation, *Fatigue (Physiology), *Machine learning, *Theory, *Cognition, Attitudes toward death, Suicidal ideation, Research funding, Anger, Descriptive statistics, Suicide, Mathematical models, Spirituality, Pain, Social support, Data analysis software, Social stigma |
| Geographic Terms: | Indonesia |
| Reviews & Products: | Twitter (Web resource) |
| Abstract: | Stigma surrounding suicide is a massive problem in Indonesia. Thus, it is important to study how conversations about suicide take place. We take a machine learning approach and study tweets with suicide keywords to understand how people converse about suicide or express suicide ideation. Tweets with suicide-related keywords were extracted from May to June 2023. 20,057 tweets were subject to topic modelling with an 11-topic solution. While most topics contain negative messages, no purely stigmatizing topics emerge, despite prior research suggesting overwhelming stigma. Various kinds of existential, emotional, and social tweets about suicide take place among Indonesian users, indicating that Indonesian Twitter users utilize the platform to express their thoughts and emotions. Notably, religious-spiritual keywords are highly prevalent, suggesting that in a highly religious society, there is a need for policy makers and awareness campaigns to frame their positive messaging within the society's religious context. [ABSTRACT FROM AUTHOR] |
| Copyright of Omega: Journal of Death & Dying is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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