摘要
从大数据定义及思维转型的探讨,以及新闻价值标准的剖析和归纳来看,大数据思维改变新闻价值观有三个重要维度:分析海量数据的相关性,拓展新闻价值中"有用性"的广度;测定系统内信息熵值,突破新闻价值中"时效性"的限度;审核全数据中的异常值,挖掘新闻价值中"异常性"的深度。
In terms of the definition of big data and the transformation of big data thinking, and the analysis of news value standard, big data thinking changes the values of the news in three important dimensions： a correlation analysis of mass data to extend the news value of ＂usefulness＂, a determination of information entropy in the system to break the limit of news value of ＂timeliness＂, and an outliers check in the data to deepen the news value of ＂abnormality＂.
出处
《新疆大学学报（哲学社会科学版）》
CSSCI
2014年第6期113-116,共4页
Journal of Xinjiang University(Philosophy and Social Sciences)
