摘要
着眼整体和宏观,对未来事态发展作出预测,是数据新闻的一大优势。要让"数据驱动"和"叙述驱动"合力推进数据新闻的生产,必须处理好"总体样本"与"个体故事"之间的关系。以下3种方式可以有效弥合二者之间的裂隙:一是以人性化视角进行数据挖掘,二是对数据进行"语境化"处理,三是数据新闻的"众包式"生产和个性化定制。这些构成了数据新闻叙述策略的关键要素。
A big advantage of data journalism is to predict the future with the aids of overall sample and big data. As the dual driving forces, 'data-driven' and 'narrative-driven' jointly promote the production of data journalism. Journalists should deal with the relationship between 'overall sample' and 'individual story'. The following three ways are effectively to bridge the gap between these two scenarios: firstly, journalists should view the data mining from the perspective of humanity; secondly, the data should be placed in the story 'context'; thirdly, the data journalism should be designed as crowd-sourced and personalized customization. These constitute the key elements of data journalism's narrative strategies.
出处
《编辑之友》
CSSCI
北大核心
2015年第9期65-68,共4页
Editorial Friend
基金
中国博士后科学基金项目"当代新闻叙事的最新发展与理论创构"(2014M562316)
福建省中青年教师教育科研项目"‘受众转向’背景下的新闻叙述研究"
闽南师范大学2015年度校级教改项目"当代新闻叙述的新进展与课程教材建构之研究"(JG201538)
关键词
大数据
新闻叙述
总体样本
个体故事
big data
news narrative
overall sample
individual story
