Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/27150
Title: A Model for Evaluating the Quality of Online News Website
Authors: Gsmelsed, Hussein Ali Hussein
Supervisor, -Nisreen Beshir Osman
Keywords: Computer Science and Information Technology
Model for Evaluating
Evaluating the Quality
Online News Website
Issue Date: 22-Feb-2021
Publisher: Sudan University of Science & Technology
Citation: Gsmelsed, Hussein Ali Hussein . A Model for Evaluating the Quality of Online News Website \ Hussein Ali Hussein Gsmelsed ; Nisreen Beshir Osman .- Khartoum:Sudan University of Science & Technology,College of Computer Science and Information Technology,2021.-124p.:ill.;28cm.-M.Sc.
Abstract: Due to the increase in usage of the Internet in various areas of life such as education, health, government and business, and the great efforts of corporations to transfer their business to Internet sites in an effort to create and maintain their websites in a way that enables them to communicate with their customers and users. The lack of model evaluation of the quality of the news site was the main reason for the design of model evaluation of quality news sites on the Internet. The main objective of this research was to propose a model for evaluating the quality of news website. The main website success factors were reviewed in addition to analyzing and identifying the most prominent success factors for news websites. Accordingly, the quality factors and sub-factors necessary was performed to review were selected. An entirely new quality evaluation model was designed with eight high-level quality factors these are: functionality, efficiency, understandability, content, modifiability, portability, maintainability, and navigation. The proposed model was verifying to a case study of a news website (the reportage newspaper website) to evaluate the quality of the site. The results of the evaluation showed that the site in general has high quality of reliability and efficiency characteristics, with good to excellent quality according to the quality evaluation model and the opinion of visitors.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/27150
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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