Linguistic Markers Indicating Therapeutic Outcomes of Social Media Disclosures of Schizophrenia

Ernala, Sindhu Kiranmai; Rizvi, Asra F.; Birnbaum, Michael L.; Kane, John M.; De Choudhury, Munmun

doi:10.1145/3134678

Cited by 99Mental Health via WritingSchizophrenia research and treatmentImpact of Technology on Adolescents

Linguistic Markers Indicating Therapeutic Outcomes of Social Media Disclosures of Schizophrenia

Ernala, Sindhu Kiranmai, Rizvi, Asra F., Birnbaum, Michael L., Kane, John M., De Choudhury, Munmun·2017·Proceedings of the ACM on Human-Computer Interaction

DOI 10.1145/3134678

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Abstract

Self-disclosure of stigmatized conditions is known to yield therapeutic benefits. Social media sites are emerging as promising platforms enabling disclosure around a variety of stigmatized concerns, including mental illness. What kind of behavioral changes precede and follow such disclosures? Do the therapeutic benefits of "opening up" manifest in these changes? In this paper, we address these questions by focusing on disclosures of schizophrenia diagnoses made on Twitter. We adopt a clinically grounded quantitative approach to first identify temporal phases around disclosure during which symptoms of schizophrenia are likely to be significant. Then, to quantify behaviors before and after disclosures, we define linguistic measures drawing from literature on psycholinguistics and the socio-cognitive model of schizophrenia. Along with significant linguistic differences before and after disclosures, we find indications of therapeutic outcomes following disclosures, including improved readability and coherence in language, future orientation, lower self preoccupation, and reduced discussion of symptoms and stigma perceptions. We discuss the implications of social media as a new therapeutic tool in supporting disclosures of stigmatized conditions.

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Online disclosures about mental illness appeared beneficial, as reflected by fewer posts about symptoms following self-disclosure.
“Another study found that online disclosures about mental illness appeared beneficial as reflected by fewer posts about symptoms following self-disclosure (Ernala, Rizvi, Birnbaum, Kane, & De Choudhury, 2017).”
From Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020) · cites this paper as Ernala, Rizvi, Birnbaum, Kane, & De Choudhury, 2017

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Authors: Ernala, S. K., Rizvi, A. F., Birnbaum, M. L., Kane, J. M., & De Choudhury, M.
Affiliations: Georgia Institute of Technology (US)
Zucker Hillside Hospital (US)
Georgia Institute of Technology, Atlanta, GA, USA
ORCID: Ernala, Sindhu Kiranmai
Birnbaum, Michael L.
Kane, John M.
Venue: Proceedings of the ACM on Human-Computer Interaction
Publisher: Association for Computing Machinery (ACM)
Published: 2017-12-06
Volume: 1
Issue: CSCW
Pages: 1-27
ISSN: 2573-0142 (ISSN-L)
DOI: 10.1145/3134678
OpenAlex: W2773170638
Cited by: 99
References: 68
Citations by year: 2026: 5 · 2025: 13 · 2024: 12 · 2023: 12 · 2022: 8 · 2021: 12 · 2020: 16 · 2019: 12 · 2018: 9
FWCI: 14.41
Type: journal article
Language: en
Open access: closed
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations: Proceedings of the ACM on Human-Computer Interaction (publishedVersion)
Funders: National Institutes of Health (1R01GM11269701)
Topics: Social Sciences › Psychology › Social Psychology › Mental Health via Writing
Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords: schizophrenia, self-disclosure, social media, Twitter, linguistic markers, treatment outcomes, mental health stigma, readability, coherence, future orientation, self-absorption

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Linguistic Markers Indicating Therapeutic Outcomes of Social Media Disclosures of Schizophrenia

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