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The Language of Social Support in Social Media and Its Effect on Suicidal Ideation Risk
Open accessAbstract
Online social support is known to play a significant role in mental well-being. However, current research is limited in its ability to quantify this link. Challenges exist due to the paucity of longitudinal, pre- and post mental illness risk data, and reliable methods that can examine causality between past availability of support and future risk. In this paper, we propose a method to measure how the language of comments in Reddit mental health communities influences risk to suicidal ideation in the future. Incorporating human assessments in a stratified propensity score analysis based framework, we identify comparable subpopulations of individuals and measure the effect of online social support language. We interpret these linguistic cues with an established theoretical model of social support, and find that esteem and network support play a more prominent role in reducing forthcoming risk. We discuss the implications of our work for designing tools that can improve support provisions in online communities.
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“The fourth method involved comparing our temporal trends (treatment), speci fi c to the schools and their respective drill dates, with a suitably chosen control time series in the same timeframe (De Choudhury and Kiciman, 2017).”
From Impacts of school shooter drills on the psychological well-being of American K-12 school communities: a social media study (2021) · cites this paper as De Choudhury and Kiciman, 2017
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“In the context of suicide, certain types of social support in Reddit communities may reduce the chances of future suicidal ideation among those seeking mental health help [61].”
From Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media (2020) · cites this paper as [61]
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Liu, T., Jain, D., Rapole, S. R., Curtis, B. L., Eichstaedt, J. C., Ungar, L., & Guntuku, S. C. (2023) · ACM Web Science Conference (WebSci) · doi:10.1145/3578503.3583621 · Cited by 18
Bhuptani, P. H., López, G., Peterson, R. S., & Orchowski, L. M. (2023) · Journal of Interpersonal Violence · doi:10.1177/08862605231176792 · Cited by 15
Mikal, J. P., Wurtz, R. M., & Grande, S. W. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100137 · Cited by 16
"I'm gonna KMS": From Imminent Risk to Youth Joking about Suicide and Self-Harm via Social Media
Ali, N. S., Qadir, S., Alsoubai, A., Choudhury, M. D., Razi, A., & Wiśniewski, P. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642489 · Cited by 13
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Metadata
- Authors
- De Choudhury, M., & Kiciman, E.
- Venue
- Proceedings of the International AAAI Conference on Web and Social Media
- Published
- 2017-05-03
- Volume
- 11
- Issue
- 1
- Pages
- 32-41
- ISSN
- 2162-3449 (ISSN-L)
- 2334-0770
- PMC
- PMC5565730
- OpenAlex
- W2596823239
- Cited by
- 202
- References
- 42
- Citations by year
- 2026: 15 · 2025: 17 · 2024: 21 · 2023: 25 · 2022: 24 · 2021: 34 · 2020: 27 · 2019: 19 · 2018: 14 · 2017: 6
- FWCI
- 29.26
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Proceedings of the International AAAI Conference on Web and Social Media (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (submittedVersion)
- Funders
- National Institute of General Medical Sciences (R01GM112697)
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- online social support, suicidal ideation, social media comments, linguistic analysis, mental illness risk, esteem, network support, online community design
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