Cited by 157Mental Health via WritingDigital Communication and LanguageInnovative Human-Technology Interaction

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Mental Health Support and its Relationship to Linguistic Accommodation in Online Communities

Sharma, Eva, De Choudhury, Munmun·2018·Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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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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Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Stress, social support, and the buffering hypothesis
Cohen, S., & Wills, T. A. (1985) · Psychological Bulletin · doi:10.1037/0033-2909.98.2.310 · Cited by 18,093
The Logic of Practice
Bourdieu, P. (1990) · doi:10.1515/9781503621749 · Cited by 17,271
Stigma: Notes on the Management of Spoiled Identity
(1969) · Postgraduate Medical Journal · doi:10.1136/pgmj.45.527.642 · Cited by 14,255
Untitled work
(1975) · Medical Entomology and Zoology · Cited by 7,245
The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods
Tausczik, Y. R., & Pennebaker, J. W. (2010) · Journal of Language and Social Psychology · doi:10.1177/0261927x09351676 · Cited by 5,774
The attraction paradigm
(1972) · Behavior Therapy · doi:10.1016/s0005-7894(72)80121-7 · Cited by 4,366
Social Exchange Theory
Cook, K. S., Cheshire, C., Rice, E. R. W., & Nakagawa, S. (2006) · The Blackwell Encyclopedia of Sociology · doi:10.1002/9781405165518.wbeoss149.pub2 · Cited by 3,642
Social Ties and Mental Health
Kawachi, I. I. (2001) · Journal of Heredity · doi:10.1093/jurban/78.3.458 · Cited by 3,565
Cognitive Psychology and Emotional Disorders
Williams, J. M. G. (1988) · UWA Profiles and Research Repository (UWA) · Cited by 1,871

Show all 78 references

Research works printed but not linked: 19

10.5555/1534606 · DOI
10.5555/505799.505801 · DOI
E Berscheid and EH Walster. 1969. Rewards others provide: Similarity. Interpersonal attraction (1969), 69--91.
Google BigQuery. 2015. Google BigQuery Reddit Data Archive. https://bigquery.cloud.google.com/table/fh-bigquery: redditposts.fullcorpus201512?pli=1. (2015). {Online; accessed 14-September-2017}.
Brant R Burleson, Erina L MacGeorge, ML Knapp, and JA Daly. 2002. Supportive communication. Handbook of interpersonal communication 3 (2002), 374--424.
Richard M Emerson. 1976. Social exchange theory. Annual review of sociology 2, 1 (1976), 335--362.
10.2307/258231 · DOI · Paper page
Kathleen Ferrara. 1991. Accommodation in therapy. Contexts of accommodation: Developments in applied sociolinguistics (1991), 187--222.
Howard Giles and Peter Powesland. 1997. Accommodation theory. In Sociolinguistics. Springer, 232--239.
Amy L Gonzales, Jeffrey T Hancock, and James W Pennebaker. 2009. Language style matching as a predictor of social dynamics in small groups. Communication Research (2009).
Ronald C Kessler and Jane D McLeod. 1985. Social support and mental health in community samples. Academic Press.
Sara Kiesler, Robert Kraut, Paul Resnick, and Aniket Kittur. 2012. Regulating behavior in online communities. Building Successful Online Communities: Evidence-Based Social Design. MIT Press, Cambridge, MA (2012).
Reddit Metrics. 2015. Reddit Metrics. http://redditmetrics.com/. (2015). {Online; accessed 15-September-2016}.
moderator-on-rsuicidewatch. (2016). {Online; accessed 16-September-2017}.
Arielle Pardes. 2016. How Reddit Became The Internet's Therapist. https: //health.good.is/features/internet-therapy-reddit. (2016). {Online; accessed 16-September-2017}.
10.5555/517688 · DOI
Jenny Preece, Diane Maloney-Krichmar, and Chadia Abras. 2003. History of emergence of online communities. Encyclopedia of Community. Berkshire Publishing Group, Sage (2003), 1--11.
R Jay Turner, B Gail Frankel, and Deborah M Levin. 1983. Social support: Conceptualization, measurement, and implications for mental health. Research in community & mental health (1983).
Joseph B Walther and Shawn Boyd. 2002. Attraction to computer-mediated social support. Communication technology and society: Audience adoption and uses 153188 (2002).

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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
DOI: 10.1145/3173574.3174215
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
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
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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Mental Health Support and its Relationship to Linguistic Accommodation in Online Communities

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