Assessment of Online News Agencies by Using a Knowledge Visualization Model: Expected Benefits

نویسندگان

  • Ihsan Tolga Medeni
  • Serhat Peker
  • Mehmet Erhan Uyar
چکیده

Internet is an efficient tool that provides unlimited information sources for the humans. This tool also creates a platform for the internet users to access information on the news easily in a real time manner by collecting the online news agencies in a one place. However, the readers usually face with difficulties to find a reliable source of information, especially on the conflicting news because of the huge amount of news agencies on the internet. Evaluating these news sources is essential and important for obtaining reliable information. In this manner, using knowledge visualization techniques is a candidate solution to improve the assessment of the online news agencies. This paper aims to give a brief description of a knowledge visualization model for the assessment of online news agencies and to provide an overview of the expected benefits of this model. © 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [name organizer]

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تاریخ انتشار 2012