摘要
论文针对重大工程项目社会稳定风险评估存在的失真与失灵问题,在理论回顾的基础上,建构了非干预在线评估模型;并以2013年广东江门鹤山反核事件为例,基于新浪微博大数据平台收集互联网数据,进行模型检验。研究结果表明,通过监测和评估项目选址地网民的风险感知与负面情绪,能够有效解释和预测重大项目所面临的社会稳定风险。据此,论文进一步提出一种线下线上社会稳定风险综合评估模式。
According to the lessons from the failure of social stability risk assessment in major projects,we developed a non- intervention online assessment model through a review of relevant literature. The model is tested by using Sina Weibo data about antinuclear protests in Heshan Jiangmen Guangdong in 2013. The results show that the social risk of a major project can be detected effectively by detecting the perceived risk and negative affects of network users where major project are located. Thus we put forward a comprehensive mode for social stability risk assessment for major projects including both online and offline evaluations.
出处
《公共行政评论》
CSSCI
北大核心
2016年第1期86-109,184,共24页
Journal of Public Administration
基金
国家社科基金重大项目(11&ZD034)、国家社科基金后期项目(14FGL009)
陕西省自然科学基金项目(2015JM7365)
关键词
重大工程项目
社会稳定风险评估
大数据
群体性事件
Major Projects
The Assessment of Social Stability Risk
Big Data
Collective Action