运算转向:数据新闻生产的新路径

Computational Turn: the New Road of Data Journalism Production

数据新闻在大数据时代已经成为重要的发展趋势,文章梳理了英国《卫报》、美国《纽约时报》等西方媒体的数据新闻作品,分析了数据新闻生产的全流程,发现数据新闻在新闻价值的挖掘和呈现上有着独特魅力与价值,特别是在揭示数据内部联系、可视化呈现、数据挖掘方面值得国内同行借鉴。基于新闻数据的可供发掘和循环利用的特征,笔者提出搭建数据库及记者服务平台的构想,希望为记者在纷繁杂芜的信息中迅速筛选和解析数据,寻找数据新闻的议题和线索,提供可资参照的路径和方法。

Data journalism is becoming a significant tendency in the big data era. Based on the research of the press reports of the Guardian and the New York Times, the paper identifies that data journalism has a great appeal and reference value in mining and visualizing news value, especially in revealing internal relation of data, mining and visualizing data, and training of talents in data journalism. Moreover, the paper raises the idea of building the database and the reporter service platform through mining and recycling news data, in order to help reporters quickly screen and analyze data, even find news clues and topics from complicated informations, and provide them with effective methods and alternative paths.