"I was really, really nervous posting it": Communicating about Invisible Chronic Illnesses across Social Media Platforms
Abstract
People with invisible chronic illnesses (ICIs) can use social media to seek both informational and emotional support, but these individuals also face social and health-related challenges in posting about their often-stigmatized conditions online. To understand how they evaluate different platforms for disclosure, we interviewed 19 people with ICIs who post on general social media about their illnesses, such as Facebook, Instagram, and Twitter. We present a cross-platform analysis of how platforms varied in their suitability to achieve participants' goals, as well as the challenges posed by each platform. We also found that as participants' ICIs progressed, their goals, challenges, and social media use similarly evolved over time. Our findings highlight how people with ICIs select platforms from a broader ecology of social media and suggest a general need to understand shifts in social media use for populations with chronic but changing health concerns.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Emerging research highlights the potential benefits of passive SMU for marginalized populations, such as LGBTQ+ individuals, autistic people, and people with physical disabilities.
“Emerging research highlights the potential benefits of passive SMU for marginalized populations, such as LGBTQþ individuals (Fish et al., 2020), autistic people (Gillespie- Lynch et al., 2014), and people with physical disabilities (Sannon et al., 2019).”
From Are active and passive social media use related to mental health, wellbeing, and social support outcomes? A meta-analysis of 141 studies (2023) · cites this paper as Sannon et al., 2019
Cites
The online disinhibition effect
Suler, J. (2004) · CyberPsychology & Behavior · doi:10.1089/1094931041291295 · Cited by 4,375 · see citing works
Sex, gender, and pain: a review of recent clinical and experimental findings
Fillingim, R. B., King, C. D., Ribeiro-Dasilva, M. C., Rahim-Williams, B., & Riley, J. L. (2009) · The Journal of Pain · doi:10.1016/j.jpain.2008.12.001 · Cited by 2,766 · see citing works
Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.1933 · Cited by 2,517 · see citing works
The Social Construction of Illness: Key Insights and Policy Implications
Conrad, P., & Barker, K. K. (2010) · Journal of Health and Social Behavior · doi:10.1177/0022146510383495 · Cited by 888 · cited 1× · see citing works
“Some ICIs, such as chronic fatigue syndrome and fibromyalgia, are also "contested illnesses"—that is, both physicians and the public often question the validity of these illnesses, which further stigmatizes people’s illness experience [9].”
BackgroundSharing Health Data for Better Outcomes on PatientsLikeMe
Wicks, P., Massagli, M., Frost, J., Brownstein, C., Okun, S., Vaughan, T., Bradley, R., & Heywood, J. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1549 · Cited by 603 · see citing works
Norms of online expressions of emotion: Comparing Facebook, Twitter, Instagram, and WhatsApp
Waterloo, S. F., Baumgartner, S. E., Peter, J., & Valkenburg, P. M. (2018) · New Media & Society · doi:10.1177/1461444817707349 · Cited by 549 · see citing works
Internet use and stigmatized illness
Berger, M., Wagner, T. H., & Baker, L. C. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2005.03.025 · Cited by 547 · see citing works
Seeking Support on Facebook: A Content Analysis of Breast Cancer Groups
Bender, J. L., Jimenez-Marroquin, M.-C., & Jadad, A. R. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1560 · Cited by 438 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Godard, R., & Holtzman, S. (2023) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmad055 · Cited by 171 · see citing works
- Authors
- Sannon, S., Murnane, E. L., Bazarova, N. N., & Gay, G.
- Affiliations
- Cornell University (US)
- Stanford University (US)
- Venue
- Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2019-05-02
- Pages
- 1-13
- OpenAlex
- W2942214282
- Cited by
- 56
- References
- 8
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 9 · 2023: 9 · 2022: 12 · 2021: 10 · 2020: 6 · 2019: 1
- FWCI
- 47.62
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- National Science Foundation (1405634, 1344587)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Social Sciences › Health › Social Media in Health Education
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- social media disclosure, online stigma, platform selection, social support, emotional support, disclosure of illness, Facebook, Instagram, Twitter, social media use
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review