Credibility of information in online communities
Open accessAbstract
Social media and Web 2.0 empower individuals to generate content online. It is important to better understand the potential added value of social media for e-health service provision. Social support and credibility of health related information generated via social media is a big challenge for online health communities. In this qualitative research, content of discussions from an online health community is analysed. Two themes are examined: online social support and credibility of online forums. Findings show accuracy and credibility of online communities – user profiles, ratings of posts and improved monitoring of content by advisors improve perceived credibility and trust in online forums and communities. Accuracy and perceived credibility of online health communities is pivotal in facilitating social relationships. While consumers are concerned about the credibility of online information, they benefit from social support and are increasingly turning to social media as a source of information and support. Organizations can benefit from better understanding consumer's use of social media, their concerns about information credibility and need for social support.
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OHCs offer a mechanism for value cocreation among stakeholders with minimal time and cost restriction.
“In essence, communication extension brings the patients into focus, and OHCs offer a mechanism for value cocreation among stakeholders with minimal time and cost restriction [17,19,46,66-75].”
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The new knowledge generated from patient interactions in OHCs assists health care organizations to customize treatment plans, offering some online treatment options especially for patients with a chronic disease.
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From Improving the Theoretical Understanding Toward Patient-Driven Health Care Innovation Through Online Value Cocreation: Systematic Review (2020) · cites this paper as [71]
OHCs can be an effective tool for knowledge sharing and peer education and have the potential to impact patients' health literacy.
“OHCs can be an effective tool for knowledge sharing and peer education, and it has the potential to impact patients’ health literacy [46,71].”
From Improving the Theoretical Understanding Toward Patient-Driven Health Care Innovation Through Online Value Cocreation: Systematic Review (2020) · cites this paper as [71]
Health care organizations need to educate patients on their innovation, and patients need to educate health care organizations in the context of their everyday use of innovation.
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From Improving the Theoretical Understanding Toward Patient-Driven Health Care Innovation Through Online Value Cocreation: Systematic Review (2020) · cites this paper as [71]
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- Authors
- Hajli, M. N., Sims, J., Featherman, M., & Love, P. E. D.
- Affiliations
- University of London (GB)
- Washington State University (US)
- Curtin University (AU)
- Venue
- Journal of Strategic Marketing
- Publisher
- Informa UK Limited
- Published
- 2014-05-22
- Volume
- 23
- Issue
- 3
- Pages
- 238-253
- ISSN
- 0965-254X (ISSN-L)
- 1466-4488
- OpenAlex
- W2027641568
- Cited by
- 109
- References
- 68
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 6 · 2023: 15 · 2022: 11 · 2021: 14 · 2020: 11 · 2019: 9 · 2018: 13 · 2017: 3 · 2016: 9 · 2015: 2 · 2014: 1 · 2013: 1
- FWCI
- 9.03
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Journal of Strategic Marketing (publishedVersion)
- BIROn (Birkbeck, University of London) (submittedVersion)
- eSpace (Curtin University) (submittedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Health › Social Media in Health Education
- Keywords
- online health communities, information credibility, social support, social media, e-health, online forums, user-generated content, trust, health information, consumer behavior, Web 2.0
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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.
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