ArticleJournal of medical Internet research2018
Harnessing Reddit to Understand the Written-Communication Challenges Experienced by Individuals With Mental Health Disorders: Analysis of Texts From Mental Health Communities.
Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- 'Remember, You Are Not Alone': A Qualitative Internet-Mediated Study of Anxiety Among Adolescents on Reddit.International journal of mental health nursing · 2025Article
- Understanding Patient Experiences of Vulvodynia Through Reddit: Qualitative Analysis.JMIR infodemiology · 2025Article
- The Impact of Linguistic Signals on Cognitive Change in Support Seekers in Online Mental Health Communities: Text Analysis and Empirical Study.Journal of medical Internet research · 2025Article
- Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content.JMIR AI · 2024Article
- Understanding Mental Health Issues in Different Subdomains of Social Networking Services: Computational Analysis of Text-Based Reddit Posts.Journal of medical Internet research · 2023Article
- Mental toll on working women during the COVID-19 pandemic: An exploratory study using Reddit data.PloS one · 2023Article
- Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis.Frontiers in research metrics and analytics · 2023Article
- Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study.JMIR public health and surveillance · 2022Article
- Tweets Related to Motivation and Physical Activity for Obesity-Related Behavior Change: Descriptive Analysis.Journal of medical Internet research · 2022Article
- An Examination of Patients and Caregivers on Reddit Navigating Brain Cancer: Content Analysis of the Brain Tumor Subreddit.JMIR cancer · 2022Article
- Natural Language Processing Methods and Bipolar Disorder: Scoping Review.JMIR mental health · 2022Article
- Studies of Depression and Anxiety Using Reddit as a Data Source: Scoping Review.JMIR mental health · 2021Article
- Teens' Social Media Engagement during the COVID-19 Pandemic: A Time Series Examination of Posting and Emotion on Reddit.International journal of environmental research and public health · 2021Article
- Schizophrenia Detection Using Machine Learning Approach from Social Media Content.Sensors (Basel, Switzerland) · 2021Article
- An Exploration of Mental Health Discussions in Live Streaming Gaming Communities.Frontiers in psychology · 2021Article
- Detection of Suicidality Among Opioid Users on Reddit: Machine Learning-Based Approach.Journal of medical Internet research · 2020Article
- Insights on mental health when living with rheumatoid arthritis: a descriptive qualitative study of threads on the Reddit website.BMC rheumatology · 2020Article
- Exploring Abnormal Behavior Patterns of Online Users With Emotional Eating Behavior: Topic Modeling Study.Journal of medical Internet research · 2020Article
- Mental Health Severity Detection from Psychological Forum Data using Domain-Specific Unlabelled Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Health and kinship matter: Learning about direct-to-consumer genetic testing user experiences via online discussions.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundMental disorders such as depression, bipolar disorder, and schizophrenia are common, incapacitating, and have the potential to be fatal. Despite the prevalence and gravity of mental disorders, our knowledge concerning everyday challenges associated with them is relatively limited. One of the most studied deficits related to everyday challenges is language impairment, yet we do not know how mental disorders can impact common forms of written communication, for example, social media.
objectiveThe aims of this study were to investigate written communication challenges manifest in online mental health communities focusing on depression, bipolar disorder, and schizophrenia, as well as the impact of participating in these online mental health communities on written communication. As the control, we selected three online health communities focusing on positive emotion, exercising, and weight management.
methodsWe examined lexical diversity and readability, both important features for measuring the quality of writing. We used four well-established readability metrics that consider word frequencies and syntactic complexity to measure writers' written communication ability. We then measured the lexical diversity by calculating the percentage of unique words in posts. To compare lexical diversity and readability among communities, we first applied pairwise independent sample t tests, followed by P value adjustments using the prespecified Hommel procedure to adjust for multiple comparison. To measure the changes, we applied linear least squares regression to the readability and lexical diversity scores against the interaction sequence for each member, followed by pairwise independent sample t tests and P value adjustments. Given the large sample of members, we also report effect sizes and 95% CIs for the pairwise comparisons.
resultsOn average, members of depression, bipolar disorder, and schizophrenia communities showed indications of difficulty expressing their ideas compared with three other online health communities. Our results also suggest that participating in these platforms has the potential to improve members' written communication. For example, members of all three mental health communities showed statistically significant improvement in both lexical diversity and readability compared with members of the OHC focusing on positive emotion.
conclusionsWe provide new insights into the written communication challenges faced by individuals suffering from depression, bipolar disorder, and schizophrenia. A comparison with three other online health communities suggests that written communication in mental health communities is significantly more difficult to read, while also consisting of a significantly less diverse lexicon. We contribute practical suggestions for utilizing our findings in Web-based communication settings to enhance members' communicative experience. We consider these findings to be an important step toward understanding and addressing everyday written communication challenges among individuals suffering from mental disorders.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.