Abstract:
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.
Machine summary:
9 Ori ginal Research A Framework for Assessing the Quality of Wikipedia Articles: A Meta-synthesis of the Literature Fatemeh Fahimnia Mansoureh Damerchiloo Associate Professor, Department of Information and Ph. D.
Firstly, user-based studies that identify the aspects of information quality from the perspective of the end-user (Han, 2018; Orehovacki, 2010; Shahbazi, Farajpahlou, Osareh, & Rahimi, 2019; Tao, LeRouge, Smith & De Leo, 2017); secondly, product-based studies that seek to identify the aspects of information quality according to the characteristics of the information source (Blumenstock, 2008a, 2008b; Wtodzimierz Lewoniewski, Khairova, W9cel, Stratiienko & Abramowicz, 2017; Wtodzimierz Lewoniewski & Wheel, 2017; Wlodzimierz Lewoniewski, Wheel, & Abramowicz, 2017; Stvilia, Gasser, Twidale & Smith, 2007; Stvilia, Twidale, Smith & Gasser, 2005; Warncke- Wang, Cosley & Riedl, 2013).
The proposed framework, called MVIEW, consists of three steps: a) Collecting and determining a set of information quality aspects that are classified in several categories, including article length, readability, relevance, writing style, structure, editing history, and user; b) The evaluation of each of the mentioned categories in the first step by experts and specialists; and c) The final phase, in which the opinions of experts are combined using weighting methods.
Due to the importance and popularity of Wikipedia, several studies have been conducted on the quality of its articles, but in most of them, only one or more aspects of information quality have been examined (Betancourt, Segnini, Trabuco, Rezgui & Jullien, 2016; Blumenstock, 2008a, 2008b; Lu, Zhang, & Li, 2013; Schmidt & Zangerle, 2019; P.
, 2019; Keshavarz, Esmaeili Givi & Norouzi, 2020; Ludvigsen, Hall, Meyer, Fegran, Aagaard & Uhrenfeldt, 2016).