News media websites are important online resources that have drawn great attention of text mining researchers. The main aim of this study is to propose a framework for ranking online news websites from different viewpoints. The ranking of news websites is useful information, which can benefit many news-related tasks such as news retrieval and news recommendation. In the proposed framework, the ranking of news websites is obtained by calculating three measures introduced in the paper and based on user-generated content. Each proposed measure is concerned with the performance of news websites from a particular viewpoint including the completeness of news reports, the diversity of events being covered by the website and its speed. The use of user-generated content in this framework, as a partly-unbiased, real-time and low cost content on the web distinguishes the proposed news website ranking framework from the literature. The results obtained for three prominent news websites, BBC, CNN, NYTimes, show that BBC has the best performance in terms of news completeness and speed, and NYTimes has the best diversity in comparison with the other two websites.

中文翻译：

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使用用户生成内容的在线新闻媒体网站排名

新闻媒体网站是重要的在线资源，引起了文本挖掘研究人员的极大关注。本研究的主要目的是提出一个从不同角度对在线新闻网站进行排名的框架。新闻网站的排名是有用的信息，它可以使许多与新闻相关的任务受益，例如新闻检索和新闻推荐。在所提出的框架中，新闻网站的排名是通过计算论文中介绍的三个度量并基于用户生成的内容来获得的。每个提议的措施都从特定角度关注新闻网站的性能，包括新闻报道的完整性、网站所涵盖事件的多样性及其速度。在此框架中使用用户生成的内容，作为部分公正的，网络上的实时和低成本内容将提议的新闻网站排名框架与文献区分开来。三个著名新闻网站 BBC、CNN、NYTimes 的结果表明，BBC 在新闻完整性和速度方面的表现最好，与其他两个网站相比，NYTimes 的多样性最好。