在大数据中寻找新闻的细流已经成为一种可能和趋势。关乎公共利益的环境风险数据往往过度分散、内容复杂而专业,因此很少被大众关注或被媒体报道。《每日经济新闻》与非政府组织公众环境研究中心合作,持续挖掘中国庞杂的环境风险数据。随之产生的“A股绿色报告”项目,基于持续更新的政府公开大数据,从公司环境责任和信息披露视角出发,借力智能写作技术,持续性批量化产出具有监督色彩的各类新闻报道。该项目探索了在动态大数据中持续性挖掘新闻细流的模式,项目运行已近一年,过程中遇到的挑战和总结的经验可供业界学界探讨。
<<It has become a possibility and trend to find a trickle of news in big data. Environmental risk information concerning the public interest is often over-dispersed,complex and too professional,so it is rarely paid attention to by the public or revealed by the media. NBD(National Business Daily of China)has been working with IPE(Institute of Public and Environmental Affairs)to tap into China’s complex environmental risk data. The resulting “A-Share Green Report” project is based on continuously updated government open big data,from the perspective of public company environmental responsibility and information disclosure,and use AI + Writing to continuously produce various types of supervision in the batches of News reports. This project has pioneered a new model for mining news through dynamic data. Now the project has been running for nearly a year,and the experience and challenges encountered in the process can be discussed by the industry and academia.
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