通过门户带来信誉

IF 1.3 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Database Management Pub Date : 2022-01-01 DOI:10.4018/jdm.313968
Yi-Chen Lee, Bo-Chun Shen, C. Sia
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引用次数: 0

摘要

这项研究探讨了如何通过同时提供多个信息源来提高医疗保健网站上信息的质量和可信度。这种信息集成是使用一种新的实验性Web API Portals实现的。由于大量在线健康信息可能是不正确或误导性的,因此访问多个信息源非常重要。当读者寻求健康信息时,多来源评估的可能性所带来的几乎即时的验证至关重要。这项研究提供了新的见解,确立了可靠整合来自多个来源(网站)的健康内容的价值。研究了当人们遇到来自多个网站整合的一致或不一致信息时的行为差异,并讨论了研究结果的含义。研究结果指导了健康相关网站如何帮助在线寻求者访问更高质量的医疗保健网站。
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Bringing Credibility Through Portals
This study explores how the quality and credibility of information on healthcare websites can be enhanced through the simultaneous delivery of multiple information sources. Such information integration is achieved using a new experimental Web API called Portals. Accessing multiple information sources is salient due to the uncertainty surrounding an overwhelming amount of online health information that can be incorrect or misleading. When readers seek health information, the almost instantaneous verification that comes with the possibility of multiple-sources assessment is critical. This research provides novel insights that establish the value of reliably integrating health content from multiple sources (websites). The behavioral differences when people encounter consistent or inconsistent information from multiple-websites integration are investigated, and the implication of the findings are discussed. The research findings guide how health-related websites can help online seekers access higher-quality healthcare websites.
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来源期刊
Journal of Database Management
Journal of Database Management 工程技术-计算机:软件工程
CiteScore
4.20
自引率
23.10%
发文量
24
期刊介绍: The Journal of Database Management (JDM) publishes original research on all aspects of database management, design science, systems analysis and design, and software engineering. The primary mission of JDM is to be instrumental in the improvement and development of theory and practice related to information technology, information systems, and management of knowledge resources. The journal is targeted at both academic researchers and practicing IT professionals.
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