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数据连续性视角下网络健康信息可信性提升策略研究

Research on Strategies for Improving Credibility of Network Health Information from Perspective of Data Continuity
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摘要 网络健康信息生态逐步恶化背景下,网络用户是否采纳高可信性的健康信息将影响用户的健康信息搜寻质量及健康管理决策。鉴于网络健康信息可信性低的问题,引入数据连续性概念并进行应用,将研究聚焦于健康数据层面,以健康数据时间、空间及内容3个维度全面揭示网络用户感知信任的表征要素,并选取丁香医生健康信息网站进行实践应用,提出时间、空间及内容维度健康信息可信性提升策略。相关健康信息网站以此为鉴,对信息可信性保障策略进行优化,研究结果还能够为健康数据溯源、数据空间及数据关联等技术应用于健康信息可信保障提供引导。 In the context of the gradual deterioration of the online health information ecosystem,whether network users adopt high credibility health information will affect the quality of users’health information search and health management decisions.To avoid the problem of low credibility of online health information,the concept of data continuity is introduced and applied.The research focuses on the level of health data,comprehensively revealing the representation elements of perceived trust among network users from three dimensions:time,space,and content of health data.The Dingxiang Doctor’s health information website is selected for practical application,and a strategy to enhance the credibility of Dingxiang Doctor’s time,space,and content dimensions of health information is proposed.Related health information websites can refer to this article to optimize information credibility assurance strategies.The research results can also provide guidance for the application of health data traceability,data space,and data association technologies in health information credibility assurance.
作者 初彦伯 王萍 CHU YanBo;WANG Ping(School of Business and Management,Jilin University,Changchun 130012,P.R.China)
出处 《数字图书馆论坛》 2023年第5期35-41,共7页 Digital Library Forum
关键词 数据连续性 健康数据 信息可信性 Data Continuity Health Data Information Credibility
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  • 1金澈清,钱卫宁,周傲英.流数据分析与管理综述[J].软件学报,2004,15(8):1172-1181. 被引量:161
  • 2温忠麟,侯杰泰,张雷.调节效应与中介效应的比较和应用[J].心理学报,2005,37(2):268-274. 被引量:3137
  • 3宋敏,覃正.国外数据质量管理研究综述[J].情报杂志,2007,26(2):7-9. 被引量:51
  • 4Wang Y Richard, Madnick Stuart E. A polygen model for heterogeneous database systems: The source tagging perspective//Proceedings of the 16th International Conference on Very Large Data Bases. Brisbane, Queensland, Australia, 1990:519-538.
  • 5Lanter D P. Design of a lineage-based meta-data base for GIS. Cartography and Geographic Information Systems, 1991, 18:255-261.
  • 6Woodruff A, Stonebraker M. Supporting fine-grained data lineage in a database visualization environment//Proceedings of the 13rd IEEE International Conference on Data Engineering. Birmingham, England, 1997:91-102.
  • 7Cui Y, Widom J, Wiener J L. Tracing the lineage of view data in a warehousing environment. The ACM Transactions on Database Systems, 2000, 25(2): 179-227.
  • 8Buneman P, Khanna S, Tan WC. Why and where, A characterization of data provenanee//Proceedings of the 17th International Conference on Data Engineering. London, UK 2001:316-330.
  • 9Simmhan Yogesh L, Plale Beth, Gannon Dennis. A survey of data provenance techniques. Computer Science Department: Indiana University, Bloomington IN: Technical Report IUB-CS-TR618, 2001.
  • 10Glavic Boris, Dittrich Klaus. Data provenance: A categorization of existing approaehes//Proceedings of the 6th MMC Workshop of BTW 2007. Aachen, Germany, 2007:227-241.

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