从地图新闻生产实践看数据新闻的创新趋势——以2021年Sigma Awards数据新闻奖参赛作品为例  

Innovative Trends in Data Journalism from Map Journalism Production Practice:A Case Study of the Entries of 2021 Sigma Awards for Data Journalism

作　　者：罗芳 陈志鹏 LUO Fang;CHEN Zhipeng(The school of Journalism and Communication,Xi’an International Studies University,Xi’an 710128,China;School of Liberal Arts,Xi’an University of Finance and Economics,Xi’an 710061,China)

机构地区：[1]西安外国语大学新闻与传播学院,陕西西安710128 [2]西安财经大学文学院,陕西西安710061

出　　处：《苏州市职业大学学报》2024年第2期70-74,共5页Journal of Suzhou Vocational University

摘　　要：近年来,地图新闻成为数据新闻创新的重要方向。通过研究地图新闻的生产过程,分析未来数据新闻的创新趋势。研究发现,地图新闻团队以数据众包和卫星遥感、GPS、无人机测绘等方式收集数据,主要采用Python和R语言清洗数据,将地理空间分析与社会调查相结合分析数据。此外,开源地图应用为其可视化提供了技术支持,以位置为核心的空间叙事手段成为亮点。未来我国在数据新闻发展中应该建立起跨地域、跨组织数据共享机制,增强跨学科团队建设,推动技术与数据开源,优化多维地图呈现。In recent years,map journalism has become an important direction of data journalism innovation.This paper analyzes the innovation trend of future data journalism by studying the production process of map journalism.It is found that the map news team collects data through data crowdsourcing and satellite remote sensing,GPS,drone mapping,etc.,mainly using Python and R language to clean the data,and combining geospatial analysis with social surveys to analyze the data.In addition,open-source map applications provide technical support for its visualization,with location-based spatial narrative methods becoming a highlight.In the future,China should establish a cross-regional and cross-organizational data sharing mechanism,enhance interdisciplinary team building,promote technology and data open-source,and optimize multi-dimensional map presentation in the development of data journalism.

关 键 词：数据新闻 数据挖掘 数据可视化 地图新闻 

分 类 号：G210.7[文化科学—新闻学]