The increasing development of health social networks (HSN) in recent years has led the fast growing of user-generated contents. People tend to interact and share health information in social networks. However, the trustworthiness of information is the major concern in shared health information in social networks. Viral rumor-spreading that can happen quite rapidly in social media can cause damages to health consumers. In this paper, we survey existing solutions that patients can use to gauge the trustworthiness of health information on HSNs. We conclude with thoughts on the future research in the area of trust of HSNs.
The reliability of information in health social network sites (HSNs) is an imperative concern since false information can cause tremendous damage to health consumers. To mitigate the damages, we utilize our previous trust framework that captures both human trust level and its uncertainty. We show how our previously presented trust framework can be applied to several security mechanisms in HSNs including filtering information, and increasing the efficiency of advertisement tool. Experiments on real health social networks validate the applicability of our trust framework to intensify the dependability in HSNs.
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