ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014
Does sustained participation in an online health community affect sentiment?
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- A systematic literature review of machine learning in online personal health data.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- AI-Assisted Analysis of Sentiment Changes Among Repeat Users of Digital Peer Support: A Retrospective Longitudinal Study.Journal of clinical medicine · 2026Article
- Emotion Expression in Breast Cancer Support Seeking: Empirical Study of an Online Community.JMIR medical informatics · 2026Article
- Cancers missed, women dismissed yet persist: natural language processing of online forums.Breast cancer research : BCR · 2025Article
- Peer Support for Chronic Pain in Online Health Communities: Quantitative Study on the Dynamics of Social Interactions in a Chronic Pain Forum.Journal of medical Internet research · 2024Article
- Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language.BMC medical informatics and decision making · 2023Article
- Investigating relationships among cancer survivors' engagement in an online support community, social support perceptions, well-being, and moderating effects of existing (offline) social support.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Article
- Study on Differences between Patients with Physiological and Psychological Diseases in Online Health Communities: Topic Analysis and Sentiment Analysis.International journal of environmental research and public health · 2020Article
- Sentiment Analysis in Health and Well-Being: Systematic Review.JMIR medical informatics · 2020Review
- The therapy is making me sick: how online portal communications between breast cancer patients and physicians indicate medication discontinuation.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks.Journal of biomedical informatics · 2017Article
- Analyzing and Predicting User Participations in Online Health Communities: A Social Support Perspective.Journal of medical Internet research · 2017Article
- "We make choices we think are going to save us": Debate and stance identification for online breast cancer CAM discussions.Proceedings of the ... International World-Wide Web Conference. International WWW Conference · 2017Article
- Cataloguing Treatments Discussed and Used in Online Autism Communities.Proceedings of the ... International World-Wide Web Conference. International WWW Conference · 2017Article
- Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Towards Supporting Patient Decision-making In Online Diabetes Communities.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.Yearbook of medical informatics · 2016Review
- Leveraging cues from person-generated health data for peer matching in online communities.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Factors Contributing to Dropping-out in an Online Health Community: Static and Longitudinal Analyses.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
A large number of patients rely on online health communities to exchange information and psychosocial support with their peers. Examining participation in a community and its impact on members' behaviors and attitudes is one of the key open research questions in the field of study of online health communities. In this paper, we focus on a large public breast cancer community and conduct sentiment analysis on all its posts. We investigate the impact of different factors on post sentiment, such as time since joining the community, posting activity, age of members, and cancer stage of members. We find that there is a significant increase in sentiment of posts through time, with different patterns of sentiment trends for initial posts in threads and reply posts. Factors each play a role; for instance stage-IV members form a particular sub-community with patterns of sentiment and usage distinct from others members.
Indexed as
Identifiers
25954470PMC4419987W2418667943What 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.