首页> 外文会议>International conference on information systems >A Response Quality Model for Online Health Communities
【24h】

A Response Quality Model for Online Health Communities

机译:在线健康社区的响应质量模型

获取原文

摘要

It has been reported that about 113 million Americans has looked for health information on the internet. Patient safety can therefore be very easily compromised if the advice/information that people receive is incorrect. Particularly in case of a chronic and debilitating disease like Parkinson's disease, patients are very vulnerable to false information. Spread of misinformation can be a serious deterrent to information system use. However, the literature has been weak in linking the prevalence of misinformation on online social networks to the factors contributing to misinformation. This study seeks to reduce this gap by exploring the factors impacting the extent of misinformation in online social networking forum. Our findings show that the quality of a response is affected by clarity of the thread question, cumulative information quality and the users' potential for making useful contributions. The results from this study provide practical suggestions to reduce misinformation on social networks.
机译:据报道,大约11300万美国人在互联网上寻找健康信息。因此,如果人们收到的建议/信息不正确,则可以很容易地损害患者安全性。特别是在慢性和衰弱的疾病如帕金森病如下,患者非常容易受到虚假信息的影响。错误信息传播可能是对信息系统使用的严重威慑。然而,文献在将在线社交网络上的错误信息的普遍性联系到导致错误信息的因素,这一直薄弱。本研究旨在通过探索在线社交论坛中误导程度的因素来减少这种差距。我们的研究结果表明,响应的质量受到线程问题,累积信息质量和用户潜力的清晰度的影响。本研究的结果提供了减少社交网络上误导的实际建议。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号