摘要
本文通过对中国18家数据新闻团队的半结构化深度访谈和对6个代表性数据新闻专栏的内容分析,研究中国数据新闻的发展现状、问题与趋势。研究发现,截至2015年12月底,数据新闻生产主体已非常多元,主要存在六种生产协作机制。不同团队规模差异较大,但岗位设置普遍缺乏数据分析师和工程师。数据新闻主要的商业模式是传统的广告模式,但一些团队正向提供数据产品、数据咨询的方向尝试。本研究认为,数据新闻作为新闻生产的一套方法论,未来将逐渐普及化和日常化,成为数据时代新闻记者不可或缺的专业能力。
In this paper, we study the current situation, problems and trends of data journalism in China through the semi-structured in-depth interviews of 18 data journalism teams and the content analysis of 6 representative data journalism columns. The study revealed thatuntil the end of December 2015,the production of data journalism is moving towards the trends of diversity. There are six main production coordination mechanisms. The size of the production teams vary to a great extent, but in general they desperately need data analysts and engineers in their teams. The main business model of data journalism is the traditional advertising model, but some teams are trying to provide customers with data products as well as data consulting services. This study believes that as a method of news production, data journalism will gradually become universal and daily in the future, and become an indispensable and necessary professional skills for journalists in the age of data.
出处
《中国媒体发展研究报告》
2015年第1期101-148,379,共49页
Research Report of China's Media Development
基金
武汉大学珞珈青年学者项目,武汉大学“双一流”学科建设项目“中国数据新闻现状与发展研究”的资助
关键词
数据新闻
数据分析师
数据咨询
Data Journalism
Journalism Analyst
Journalism Consulting
