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  • 标题:A Framework for Assessing the Quality of Wikipedia Articles: A Meta-synthesis of the Literature
  • 本地全文:下载
  • 作者:Fatemeh Fahimnia ; Mansoureh Damerchiloo ; Mohammad Khandan
  • 期刊名称:INTERNATIONAL JOURNAL OF INFORMATION SCIENCE AND MANAGEMENT
  • 印刷版ISSN:2008-8302
  • 电子版ISSN:2008-8310
  • 出版年度:2022
  • 卷号:20
  • 期号:1
  • 语种:English
  • 出版社:REGIONAL INFORMATION CENTER FOR SCIENCE AND TECHNOLOGY
  • 摘要:This study aimed to design and validate an information quality assessment framework based on the systematic review of the literature. A meta-synthesis method was applied to identify features and dimensions for designing the framework for assessing the quality of Wikipedia. Following this, the validity of the obtained framework was evaluated by the Kappa Test of Agreement. The statistical population consists of all scientific documents related to the quality of information and a sample of 39 documents selected based on CASP.  MAXQDA 11 was used to analyze data. Nine dimensions were identified and classified across 3 levels. The features and components necessary to evaluate each dimension were identified and explained. The strong level approved the framework of expert agreement (0.654). The proposed framework can be used to assess the Wikipedia quality independently of specialists, improve the quality of articles through identified effective features, and ultimately, build tools and practical guidelines to assess the quality of information.https://dorl.net/dor/20.1001.1.20088302.2022.20.1.6.9
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