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A Knowledge Visualization Model for Evaluating Internet News Agencies On Conflicting News

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dc.contributor.author Medeni, İhsan Tolga
dc.date.accessioned 2020-04-29T20:13:26Z
dc.date.available 2020-04-29T20:13:26Z
dc.date.issued 2011
dc.identifier.citation Medeni, İhsan Tolga; Peker, S.; Uyar, M.E. "A Knowledge Visualization Model for Evaluating Internet News Agencies On Conflicting News", Mıpro 2011 - 34th International Convention On Information and Communication Technology, Electronics and Microelectronics - Proceedings, pp. 850-853, (2011). tr_TR
dc.identifier.issn 978-953233067-0
dc.identifier.uri http://hdl.handle.net/20.500.12416/3502
dc.description.abstract With the advent of the Internet, the news agencies have published news on their websites for the internet readers. This improvement enables Internet readers to access news easily and also to gain information and knowledge in real time manner. Since there are many online news agencies and online newspapers, readers generally have difficulty to decide which newspaper or agency provides the most reliable news. The reliability can be defined as using consistent and proper source of news especially on conflicting news but this increases news' source complexity. As a knowledge management technique, knowledge visualization is one of the ways for readers to decrease this complexity level. In this study, we propose a knowledge visualization model to identify success rates of the online news agencies and online newspapers regarding how consistent they are with the concluded actual news content. This model will be a baseline to indicate knowledge management capabilities of the agencies based on conflicted news categories. © 2011 MIPRO. tr_TR
dc.language.iso eng tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Conflicting News tr_TR
dc.subject Knowledge Management tr_TR
dc.subject Knowledge Parameters tr_TR
dc.subject Knowledge Visualization Model tr_TR
dc.subject Knowledge Visualization Model tr_TR
dc.title A Knowledge Visualization Model for Evaluating Internet News Agencies On Conflicting News tr_TR
dc.type conferenceObject tr_TR
dc.contributor.authorID 181215 tr_TR
dc.identifier.startpage 850 tr_TR
dc.identifier.endpage 853 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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