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Accuracy and self correction of information received from an internet breast cancer list: content analysis
Open accessAbstract
OBJECTIVES: To determine the prevalence of false or misleading statements in messages posted by internet cancer support groups and whether these statements were identified as false or misleading and corrected by other participants in subsequent postings. DESIGN: Analysis of content of postings. SETTING: Internet cancer support group Breast Cancer Mailing List. MAIN OUTCOME MEASURES: Number of false or misleading statements posted from 1 January to 23 April 2005 and whether these were identified and corrected by participants in subsequent postings. RESULTS: 10 of 4600 postings (0.22%) were found to be false or misleading. Of these, seven were identified as false or misleading by other participants and corrected within an average of four hours and 33 minutes (maximum, nine hours and nine minutes). CONCLUSIONS: Most posted information on breast cancer was accurate. Most false or misleading statements were rapidly corrected by participants in subsequent postings.
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“In a recent study, the internet proved to be a remarkably effective and accurate mechanism for enhancing peer communication.67”
From Reducing Diagnostic Errors through Effective Communication: Harnessing the Power of Information Technology (2008) · cites this paper as [67]
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“Therefore, the complexity of digital services, which involve different goals of interaction among different actors, demands a more granular view of value cocreation in online communities [60].”
From Improving the Theoretical Understanding Toward Patient-Driven Health Care Innovation Through Online Value Cocreation: Systematic Review (2020) · cites this paper as [60]
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“The study found that most information was accurate and most false or misleading statements were rapidly corrected.”
From Health 2.0 and Medicine 2.0: Tensions and Controversies in the Field (2008) · cites this paper as [65]
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Metadata
- Authors
- Esquivel, A., Meric-Bernstam, F., & Bernstam, E. V.
- Affiliations
- The University of Texas Health Science Center at Houston (US)
- Corresponding author
- Bernstam, Elmer V
- ORCID
- Bernstam, Elmer V
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2006-03-02
- Volume
- 332
- Issue
- 7547
- Pages
- 939-942
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC1444809
- OpenAlex
- W2047208377
- Cited by
- 216
- References
- 13
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 9 · 2022: 5 · 2021: 6 · 2020: 7 · 2019: 7 · 2018: 13 · 2017: 29 · 2016: 13 · 2015: 12 · 2014: 9 · 2013: 17 · 2012: 14
- FWCI
- 26.75
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- BMJ (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institutes of Health (5k22lm008306-03)
- National Cancer Institute (1K08CA91895)
- U.S. National Library of Medicine (5K22LM008306)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Health › Social Media in Health Education
- Keywords
- breast cancer, mailing lists, misinformation, self-correction, peer correction, online health information
- MeSH terms
- Breast Neoplasms, Female, Humans, Information Services, Self-Help Groups, Patient Satisfaction, Internet, Electronic Mail
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 ›
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