The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The cited source doesn’t support the claim as written.
In the citing paper
“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
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredIn the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
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
SOME PRACTICAL GUIDANCE FOR THE IMPLEMENTATION OF PROPENSITY SCORE MATCHING
Caliendo, M., & Kopeinig, S. (2008) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2007.00527.x · Cited by 6,238
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
Imbens, G. W., & Rubin, D. B. (2015) · doi:10.1017/cbo9781139025751 · Cited by 4,210
The Central Role of the Propensity Score in Observational Studies for Causal Effects
Rosenbaum, P. R., & Rubin, D. B. (1983) · Biometrika · doi:10.2307/2335942 · Cited by 3,495
Causal Inference Using Potential Outcomes: Design, Modeling, Decisions
Rubin, D. B. (2005) · Journal of the American Statistical Association · doi:10.1198/016214504000001880 · Cited by 2,173
Social Support Measurement and Intervention
(2000) · Oxford University Press eBooks · doi:10.1093/med:psych/9780195126709.001.0001 · Cited by 1,887
Predicting Depression via Social Media
Choudhury, M. D., Gamon, M., Counts, S., & Horvitz, E. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v7i1.14432 · Cited by 1,583
Thoits, P. A. (1982) · Journal of Health and Social Behavior · doi:10.2307/2136511 · Cited by 1,513
Coping, stress, and social resources among adults with unipolar depression.
Billings, A. G., & Moos, R. H. (1984) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.46.4.877 · Cited by 1,157
Large margin classification using the perceptron algorithm
Freund, Y., & Schapire, R. E. (1998) · Conference on Learning Theory · doi:10.1145/279943.279985 · Cited by 1,091
Social support, occupational stress, and health
LaRocco, J. M., House, J. S., & French, J. R. P. (1980) · Journal of Health and Social Behavior · doi:10.2307/2136616 · Cited by 1,039
Controllability of Stressful Events and Satisfaction With Spouse Support Behaviors
Cutrona, C. E., & Suhr, J. A. (1992) · Communication Research · doi:10.1177/009365092019002002 · Cited by 930
Kaplan, B. H., Cassel, J. C., & Gore, S. L. (1977) · Medical Care · doi:10.1097/00005650-197705001-00006 · Cited by 856
Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity
De Choudhury, M., & De, S. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14526 · Cited by 836
Coping, stress, and social resources among adults with unipolar depression.
Billings, A. G., & Moos, R. H. (1984) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.46.4.877 · Cited by 793
Greene, J. A., Choudhry, N. K., Kilabuk, E., & Shrank, W. H. (2011) · Journal of General Internal Medicine · doi:10.1007/s11606-010-1526-3 · Cited by 777
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
Choudhury, M. D., Kıcıman, E., Dredze, M. H., Coppersmith, G., & Kumar, M. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858207 · Cited by 706
Receiving social support online: implications for health education
White, M. (2001) · Health Education Research · doi:10.1093/her/16.6.693 · Cited by 606
(2007) · Cited by 521
Evaluation of an internet support group for women with primary breast cancer
Winzelberg, A. J., Classen, C., Alpers, G. W., Roberts, H., Koopman, C., Adams, R. E., Ernst, H., Dev, P., & Taylor, C. B. (2003) · Cancer · doi:10.1002/cncr.11174 · Cited by 485 · cited 3×
“To address this challenge, Winzelberg et al. (Winzelberg et al. 2003) and Lieberman et al. (Lieberman et al. 2003), both conducted clinical trials wherein they assessed the effectiveness of online support communities for individuals with breast cancer.”
BackgroundMethodSocial Support Measurement and Intervention: A Guide for Health and Social Scientists
Johnsen, M. (2001) · Psychiatric Services · doi:10.1176/appi.ps.52.10.1404 · Cited by 440
Coulson, N. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.580 · Cited by 426
It's not that i don't have problems, i'm just not putting them on facebook
Newman, M., Lauterbach, D., Munson, S. A., Resnick, P., & Morris, M. E. (2011) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/1958824.1958876 · Cited by 422
Stroebe, W., Stroebe, M., Abakoumkin, G., & Schut, H. A. W. (1996) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.70.6.1241 · Cited by 390
Andalibi, N., Haimson, O. L., De Choudhury, M., & Forte, A. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858096 · Cited by 378
Wang, Y.-C., Kraut, R., & Levine, J. M. (2012) · Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work · doi:10.1145/2145204.2145329 · Cited by 282
Electronic support groups for breast carcinoma
Lieberman, M. A., Golant, M., Giese‐Davis, J., Winzlenberg, A., Benjamin, H., Humphreys, K. N., Kronenwetter, C., Russo, S., & Spiegel, D. (2003) · Cancer · doi:10.1002/cncr.11145 · Cited by 274
Narrative Studies, Personal Stories, and Identity Transformation in the Mutual Help Context
Rappaport, J. (1993) · The Journal of Applied Behavioral Science · doi:10.1177/0021886393292007 · Cited by 273
The Social Life of Health Information
Fox, S., & Jones, S. (2009) · Issue Lab (Candid) · Cited by 268
Rains, S. A., & Young, V. (2009) · Human Communication Research · doi:10.1111/j.1468-2958.2009.01353.x · Cited by 265
Oh, H. J., Lauckner, C., Boehmer, J., Fewins-Bliss, R., & Li, K. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.04.017 · Cited by 256
The social psychology of social support.
Stroebe, W., & Stroebe, M. (1996) · Cited by 175
The impact of pathological gambling on the spouse of the gambler
Lorenz, V. C., & Shuttlesworth, D. E. (1983) · Journal of Community Psychology · doi:10.1002/1520-6629(198301)11:1 · Cited by 165
Toward an Integrative Model of Suicide Attempt: A Cognitive Psychological Approach
Dieserud, G., Røysamb, E., Ekeberg, Ø., & Kraft, P. (2001) · Suicide and Life-Threatening Behavior · doi:10.1521/suli.31.2.153.21511 · Cited by 143
Jones, S. M., & Bodie, G. D. (2014) · De Gruyter eBooks · doi:10.1515/9783110276794.371 · Cited by 120
Collaborative help in chronic disease management
Huh, J., & Ackerman, M. S. (2012) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2145204.2145331 · Cited by 118
Positive Events and Social Supports as Buffers of Life Change Stress
Cohen, S., & Hoberman, H. M. (2018) · KiltHub Repository · doi:10.1184/r1/6617633 · Cited by 111
Social support measurement and intervention a guide for health and social scientists
Cohen, S., Underwood, L. G., Gottlieb, B. H., & Fetzer Institute (2000) · Cited by 95
Happier Together: Integrating a Wellness Application into a Social Network Site
Munson, S. A., Lauterbach, D., Newman, M. W., & Resnick, P. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-13226-1_5 · Cited by 86
Narrative Studies, Personal Stories, and Identity Transformation in the Mutual-Help Context
Rappaport, J. (1994) · Sage eBooks · doi:10.4135/9781483327112.n7 · Cited by 26
Rudd, M. D. (1993) · Psychological Reports · doi:10.2466/pr0.1993.72.1.201 · Cited by 9
Research works printed but not linked: 2
- Imbens GW Rubin DB 2015 Causal Inference in Statistics, Social, and Biomedical Sciences Cambridge University Press
- Rubin DB 2011 Causal inference using potential outcomes Journal of the American Statistical Association
Cited by
Sorted by citations
AI in Health: State of the Art, Challenges, and Future Directions
Wang, F., & Preininger, A. (2019) · Yearbook of Medical Informatics · doi:10.1055/s-0039-1677908 · Cited by 398
Depression and Self-Harm Risk Assessment in Online Forums
Yates, A., Cohan, A., & Goharian, N. (2017) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d17-1322 · Cited by 390
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Ji, S., Pan, S., Li, X., Cambria, E., Long, G., & Huang, Z. H. (2020) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2020.3021467 · Cited by 275
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).”
BackgroundA Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media
Chancellor, S., Birnbaum, M. L., Caine, E. D., Silenzio, V. M. B., & De Choudhury, M. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency · doi:10.1145/3287560.3287587 · Cited by 214
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
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
