首页 | 本学科首页   官方微博 | 高级检索  
     

突发自然灾害事件网络舆情传播特征及影响因素研究
引用本文:赵飞,廖永丰. 突发自然灾害事件网络舆情传播特征及影响因素研究[J]. 地球信息科学学报, 2021, 23(6): 992-1001. DOI: 10.12082/dqxxkx.2021.200526
作者姓名:赵飞  廖永丰
作者单位:应急管理部国家减灾中心,北京 100124
基金项目:国家重点研发计划项目(2018YFC1508900);国家重点研发计划项目(2017YFC1503000)
摘    要:随着网络技术的发展,网络舆情分析在应对突发事件中发挥的作用日益显著.自然灾害发生后,准确把握舆情信息传播特征并分析其影响因素有助于应急管理部门及时采取有效的应急救援措施.本文以台风"利奇马"为例,基于"新浪舆情通"系统搜集的相关微博、微信、论坛、网站等全网舆情数据,探究台风灾害全过程舆情信息的时空分布特征,开展灾害舆情...

关 键 词:利奇马  台风  灾害  舆情  时空分析  微博  应急  救助
收稿时间:2020-09-12

Research On the Dissemination Characteristics and Influencing Factors of Network Public Opinion of Sudden Natural Disaster Events
ZHAO Fei,LIAO Yongfeng. Research On the Dissemination Characteristics and Influencing Factors of Network Public Opinion of Sudden Natural Disaster Events[J]. Geo-information Science, 2021, 23(6): 992-1001. DOI: 10.12082/dqxxkx.2021.200526
Authors:ZHAO Fei  LIAO Yongfeng
Affiliation:National Disaster Reduction Center of China,Beijing 100124, China
Abstract:With the development of network technology, the analysis of internet public opinion plays an increasingly important role in dealing with the emergency. After the occurrence of natural disasters, it is helpful for the emergency management department to take effective emergency rescue measures in time to accurately grasp the characteristics of public opinion information and analyze its influencing factors. Based on the network public opinion data related to Typhoon Lekima, including micro-blog, WeChat, forums, websites, and other online public opinion data collected by the "Public opinion on Sina" system, this article analyzes the spatiotemporal characteristics of disaster public sentiment in the process of disaster. The influencing factors of the disaster public opinion information are also analyzed. The results show that the temporal distribution of public opinion information is consistent with the lifecycle of Typhoon Lekima. Compared with the grey EGM (1,1) model, ARIMA model has a higher applicability for short-term prediction of public opinion. The spatial distribution of public opinion is positively related to the severity of the disaster and also related to the economic condition and the network popularity in the affected area. The correlation between the severity of the disaster and the original public opinion information is stronger than that between the severity of the disaster and the transmitted public opinion information. The original public opinion information can better reflect the actual situation of affected areas. The study provides guidance for emergency departments to grasp the trend of public opinion and adjust emergency measures timely.
Keywords:Lekima  Typhoon  disasters  internet public opinion  time and space analysis  microblog  emergency  rescue  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《地球信息科学学报》浏览原始摘要信息
点击此处可从《地球信息科学学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号