摘要
[目的/意义]数据故事化实现数据、可视化与叙事的关联融合,有利于公众感知及认知复杂数据,提高数据重用率。[方法/过程]通过提取新华网260个数据新闻故事题目并提炼高频词,确定27个卫生健康类热点数据新闻故事。根据扎根理论并采用质性分析软件NVivo11对热点数据新闻进行三级编码,最终得到数据新闻实践的11个初始范畴,并凝练出6个主范畴。[结果/结论]得出数据故事化实践路径的理论模型及特征。数据故事可用于知识发现、数据解读、服务增值等方面。
[Purpose/significance]Data storytelling realizes the association and fusion of data,and narration,which is conducive to the public’s perception and cognition of complex data,and improves the data reuse rate.[Method/process]The author extracted 260 data news story titles from Xinhuanet and refined high-frequency words,based on this,identified 27 health-related hot data news stories.Based on the grounded theory and using the qualitative analysis software NVivo11,the author carried out three-level coding.Finally,11 initial categories and 6 main categories of data news practice were obtained.[Result/conclusion]Get the theoretical model and characteristics of the practice path of data storytelling.Data stories can be used for knowledge discovery,data interpretation,service value-added and other aspects.
作者
周霞
王萍
张韫麒
宋婧馨
陈为东
Zhou Xia;Wang Ping;Zhang Yunqi;Song Jingxin;Chen Weidong(School of Management,Jilin University,Changchun 130022)
出处
《图书情报工作》
CSSCI
北大核心
2021年第14期119-127,共9页
Library and Information Service
