摘要
在数据化、移动化、智能化浪潮驱动下,一种汇聚多重优势的新型新闻报道形式--"数据新闻微信公众号"横空出世。选取数据新闻微信公众号的典型代表网易"数读"为实证研究对象,从数据来源、新闻内容及数据可视化呈现形式等多个角度对其中不同时段的数据新闻展开内容分析比较实证研究,以探究其创新传播的特点。实证研究发现,数据新闻微信公众号新闻叙事的角色变迁体现为:"民生困境的诊疗所""社会热点的追踪器""人本主义心理治疗师""青少年命运的观察家""感知统合的艺术家"。数据核心进行系统重构的创新思路和优化建议可具化为:以"媒介仪式化操作"突显数据新闻核心价值,以"审美之维"提升受众数据阅读情趣,"媒介延伸论"拓展数据生产能力,"万物无序"开启数据链接密码;并借此推动我国数据新闻不断锐意进取和创新发展。
Driven by the wave of digitalization,mobility and intellectualization,a new type of news report with multiple advantages-data journalism WeChat public account has emerged.This paper selects NetEase "data blog",a typical representative of WeChat Public account of data journalism,as an empirical research object.From the perspectives of data sources,news content and data visualization and presentation,this paper conducts comparative empirical researches on the content of data news in different periods to explore the characteristics of innovation communication.Based on the empirical results,this paper concludes that the role changes of the Data journalism WeChat Public account news narrative are embodied in:"clinics for the plight of the people","trackers for social hot spots","the humanistic psychotherapists","the observers of teenagers’ fate" and "the artists of perceptual integration".This paper also puts forward some innovative ideas and optimization suggestions for the systematic reconstruction of data core so as to promote China’s data journalism constantly forging ahead and innovative development.The specific measures are:highlighting the core value of data journalism with "Media Ritualization Operation",enhancing the audience’s interest in reading data from "aesthetic dimension",expanding the data production capacity with "Media Extension Theory" and opening the data link password with "all things in disorder".
作者
翟红蕾
陈一凡
Zhai Honglei;Chen Yifan(Wuhan University of Technology)
出处
《新闻与传播评论》
CSSCI
2019年第6期55-67,共13页
Journalism & Communication Review
基金
中央高校基本科研业务费专项资金资助项目(WUT:181413001)
关键词
数据新闻微信公众号
新闻叙事
数据核心
内容分析
data journalismWeChat public account
news narration
data core
content analysis