摘要
公众气象服务是政府公共服务的重要组成部分,而微博作为新时代下的新媒体服务,在广州市气象局的日常气象信息服务中发挥了重要作用。通过对微博渠道积累的数据及用户需求进行文本数据分析挖掘,发现许多影响微博受欢迎程度的用户偏好特征,运用联合分析得到各个特征的重要性排序,并以此提出新媒体运维指引以及提升公共气象服务的合理建议,从而在扩大微博影响力的同时增强广州市气象局公共气象服务的品牌影响力。
Weather service is an important part of government public services.Sina Weibo,as a new media service in the new era,plays an important role in the daily weather information service of the Guangzhou Meteorological Bureau.Through text data analysis and mining of the Sina Weibo data and user demands,this paper finds many user preference characteristics that affect the popularity of Weibo accounts.Based on conjoint analysis,the importance of each characteristic is ranked,and new media management guidelines and suggestions for improving public meteorological service are put forward in order to expand the influence of weather service Weibo accounts and enhance the brand influence of Guangzhou Meteorological Bureau in public weather service.
作者
陈晓宇
高亭亭
刘冠东
CHEN Xiao-yu;GAO Ting-ting;LIU Guan-dong(Guangzhou Emergency Early Warning Release Center,Guangzhou 510080,China;School of Mathematics,South China University of Technology,Guangzhou 510640,China)
出处
《热带气象学报》
CSCD
北大核心
2020年第5期713-720,共8页
Journal of Tropical Meteorology
关键词
气象服务
微博
联合分析
粉丝偏好
public weather service
Weibo
conjoint analysis
fan preference
