• 首页 | 期刊简介  | 
    编委会
    编委会
    青年编委会
     | 道德声明 | 投稿指南 | 联系我们 | 期刊订阅 | English
基于网络舆情视角分析我国外来生物入侵问题
点此下载全文
引用本文:姜丽华,冼晓青,刘万学,方松,贾涛,张宏斌.基于网络舆情视角分析我国外来生物入侵问题.植物保护学报,2023,50(6):1388-1396
DOI:10.13802/j.cnki.zwbhxb.2023.2023815
摘要点击次数:
全文下载次数:
作者单位E-mail
姜丽华 中国农业科学院农业信息研究所, 农业农村部农业大数据重点实验室, 北京 100081  
冼晓青 中国农业科学院植物保护研究所, 植物病虫害综合治理全国重点实验室, 北京 100193  
刘万学 中国农业科学院植物保护研究所, 植物病虫害综合治理全国重点实验室, 北京 100193 liuwanxue@caas.cn 
方松 中国农业科学院, 北京 100081  
贾涛 农业农村部农业生态与资源保护总站, 北京 100125  
张宏斌 农业农村部农业生态与资源保护总站, 北京 100125 zhanghongbin@caas.cn 
中文摘要:外来生物入侵已成为全球面临的生态安全与生物安全重大问题,而我国是全球遭遇外来入侵生物危害最严重的国家之一。针对目前我国外来生物入侵高发、频发的现状,充分发挥网络舆情大数据监测与分析能力,解析近年来我国外来生物入侵舆情发展、传播路径与特征,并提出应对措施和建议,为开展防控治理工作提供基础数据支撑。该文基于网络舆情大数据,采用主题抽取、热点话题识别、情感倾向分析、舆情演化分析等技术,重点梳理自2000年以来的重要网络外来生物入侵舆情事件,归纳总结舆情演变过程,分析提炼舆情特征规律;并将我国外来生物入侵网络舆情的发展大致分为萌芽阶段、发酵阶段和爆发阶段3个阶段,综合分析舆情特征,发现当前网民对外来入侵生物的态度趋于理性,参与外来入侵生物防治意愿高涨;媒体报道调性以正向为主,舆论引导力提升;监察部门积极发挥监察职能,通过公益诉讼参与外来入侵生物治理,整体舆论形势向好,已经构建了政府-媒体-公众多元治理的良性互动格局。
中文关键词:网络舆情  外来生物入侵  生物安全  舆情特征  大数据  入侵生物防治
 
Analysis of alien species invasion in China based on the perspective of network public opinions
Author NameAffiliationE-mail
Jiang Lihua Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Information, Chinese Academy of Agricultural Sciences, Beijing 100081, China  
Xian Xiaoqing State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China  
Liu Wanxue State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China liuwanxue@caas.cn 
Fang Song Chinese Academy of Agricultural Sciences, Beijing 100081, China  
Jia Tao Rural Energy and Environment Agency, Ministry of Agriculture and Rural Affairs, Beijing 100125, China  
Zhang Hongbin Rural Energy and Environment Agency, Ministry of Agriculture and Rural Affairs, Beijing 100125, China zhanghongbin@caas.cn 
Abstract:Alien species invasion has become a major ecological and biosecurity issue in the world, and China is one of the countries that suffers the most from invasive alien species. In view of the current situation of high and frequent invasion of alien species in China, full leverage was applied to the monitoring and analytic capability of network public opinion big data to scrutinize the development, dissemination paths and characteristics of public opinions on invasive alien species in China in recent years, and put forward suggestions on countermeasures, so as to provide basic data support for their prevention, control and management. Based on online public opinion big data, this research adopts the techniques of theme extraction, hot topic identification, emotional tendency analysis, and public opinion evolution analysis. It focuses on sorting out the internet public opinion incidents of invasive alien species since 2000, summarizes the change process of public opinions, and analyzes and refines the characteristics and rules of public opinions; it also roughly classifies the development of China's online public opinions of invasive alien species into three stages: the budding stage, the fermentation stage, and the outbreak stage of public opinion. A comprehensive analysis of the characteristics of public opinions found that the current attitude of netizens towards alien invasive species tends to be more rational, and the willingness of participation in alien species invasions to control alien species is rising; the tone of media reports is mainly positive, and the guidance of public opinion has been improved; the supervisory department actively plays its functional role and participates in the management of invasive alien species through public interest litigation. The overall public opinion situation is improving, and a positive interactive pattern of government-media-public multi-governance has been established.
keywords:online public opinion  alien species invasion  biosafety  characteristics of public opinion  big data  invasive species control
查看全文  查看/发表评论  下载PDF阅读器
您是本站第  10910849 版权所有:植物保护学报    京ICP备05006550号-2  
主管单位:中国科协 主办单位:中国植物保护学会、中国农业大学 地址:北京市圆明园西路2号 中国农业大学植物保护学院 植物保护学报编辑部
电话:010-62732528 电子邮件:zbxb@cau.edu.cn
技术支持:北京勤云科技发展有限公司