ArticleJournal of medical Internet research2021
User Behaviors and User-Generated Content in Chinese Online Health Communities: Comparative Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Digital technology as a tool to provide social support to individuals with cancer in low- and middle-income countries: A scoping review.PLOS digital health · 2025Article
- Online health information seeking behavior among breast cancer patients and survivors: a scoping review.BMC women's health · 2025Article
- Article
- Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods.Healthcare (Basel, Switzerland) · 2023Article
- Perspective of People With Type 2 Diabetes Toward Self-management: Qualitative Study Based on Web Crawler Data.Journal of medical Internet research · 2023Article
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Authors and funding
3 authors.
Funding
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Abstract
backgroundOnline health communities (OHCs) have increasingly gained traction with patients, caregivers, and supporters globally. Chinese OHCs are no exception. However, user-generated content (UGC) and the associated user behaviors in Chinese OHCs are largely underexplored and rarely analyzed systematically, forfeiting valuable opportunities for optimizing treatment design and care delivery with insights gained from OHCs.
objectiveThis study aimed to reveal both the shared and distinct characteristics of 2 popular OHCs in China by systematically and comprehensively analyzing their UGC and the associated user behaviors.
methodsWe concentrated on studying the lung cancer forum (LCF) and breast cancer forum (BCF) on Mijian, and the diabetes consultation forum (DCF) on Sweet Home, because of the importance of the 3 diseases among Chinese patients and their prevalence on Chinese OHCs in general. Our analysis explored the key user activities, small-world effect, and scale-free characteristics of each social network. We examined the UGC of these forums comprehensively and adopted the weighted knowledge network technique to discover salient topics and latent relations among these topics on each forum. Finally, we discussed the public health implications of our analysis findings.
resultsOur analysis showed that the number of reads per thread on each forum followed gamma distribution (H
conclusionsUGC and related online user behaviors in Chinese OHCs can be leveraged as important sources of information to gain insights regarding individual and population health conditions. Effective and timely mining and utilization of such content can continuously provide valuable firsthand clues for enhancing the situational awareness of health providers and policymakers.
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