The DOI matches its Crossref record; 76 of the 78 references it cites were found in a registry or an index.
Mental Health Support and its Relationship to Linguistic Accommodation in Online Communities
Abstract
Many online communities cater to the critical and unmet needs of individuals challenged with mental illnesses. Generally, communities engender characteristic linguistic practices, known as norms. Conformance to these norms, or linguistic accommodation, encourages social approval and acceptance. This paper investigates whether linguistic accommodation impacts a specific social feedback: the support received by an individual in an online mental health community. We first quantitatively derive two measures for each post in these communities: 1) the linguistic accommodation it exhibits, and 2) the level of support it receives. Thereafter, we build a statistical framework to examine the relationship between these measures. Although the extent to which accommodation is associated with support varies, we find a positive link between the two, consistent across 55 Reddit communities serving various psychological needs. We discuss how our work surfaces a tension in the functioning of these sensitive communities, and present design implications for improving their support provisioning mechanisms.
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“These two forms of support have been found to be most prevalent and effective in several studies of online support and social media [38,62,66,67].”
From Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media (2020) · cites this paper as [38]
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Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Xu, X., Yao, B., Dong, Y., Gabriel, S., Yu, H., Hendler, J., Ghassemi, M., Dey, A. K., & Wang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3643540 · Cited by 278
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
Sharma, A., Miner, A., Atkins, D., & Althoff, T. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.425 · Cited by 268
Beyond Screen Time: Identity Development in the Digital Age
Granic, I., Morita, H., & Scholten, H. (2020) · Psychological Inquiry · doi:10.1080/1047840x.2020.1820214 · Cited by 237
“Then, the contingent peer responses that follow these expressions can be identified and the extent to which these responses either dampen or amplify further contamination expressions can be tested (e.g. De Choudhury & Kiciman, 2017; Sharma & De Choudhury, 2018).”
BackgroundPsychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media
Saha, K., Torous, J., Caine, E. D., & De Choudhury, M. (2020) · Journal of Medical Internet Research · doi:10.2196/22600 · Cited by 166
Sharma, A. K., Lin, I. W., Miner, A. S., Atkins, D. C., & Althoff, T. (2021) · International World Wide Web Conference (WWW) · doi:10.1145/3442381.3450097 · Cited by 182
Metadata
- Authors
- Sharma, E., & De Choudhury, M.
- Affiliations
- Georgia Institute of Technology (US)
- Georgia Institute of Technology, Atlanta, GA, USA
- Venue
- Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2018-04-21
- Pages
- 1-13
- OpenAlex
- W2795743556
- Cited by
- 156
- References
- 78
- Citations by year
- 2026: 29 · 2025: 18 · 2024: 15 · 2023: 18 · 2022: 13 · 2021: 28 · 2020: 23 · 2019: 11 · 2018: 1
- FWCI
- 28.28
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- National Institutes of Health (R01GM112697)
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Linguistics and Language › Digital Communication and Language
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- linguistic accommodation, online mental health communities, social support, language norms, Reddit, social feedback, online communities, social acceptance
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