中文摘要：

【目的/意义】网络舆情反转现象愈演愈烈,研究反转网络舆情的特点和分类,对于深入分析反转网络舆情的发生,有效预防网络舆情反转的危害有重要现实意义。【方法/过程】通过分析网络舆情反转现象,识别网络舆情反转的风险因素,构建反转网络舆情的分类和预测模型,利用SPSS21对反转网络舆情案例样本进行聚类分析和判别分析。【结果/结论】结果表明事件性质、报道倾向、报道形式、首发平台,以及与网民相关度是影响网络舆情反转的重要因素。将反转网络舆情分为四类,以此为基础开展预测,并为反转网络舆情的应对提出策略支持。

英文摘要：

【Purpose/significance】The phenomenon of network public opinion reversal is intensified.It is of great practical significance to study the characteristics and classification of reversal public opinion in the network.It helps to analyze the occurrence of reversal network public opinion and to effectively prevent its harms.【Method/process】This paper analyzes the risk factors of network public opinion reversal phenomenon,identifies the risk factors of network public opinion reversal,constructs the classification and forecasting model of the reversal network public opinion,as well as makes a clustering analysis based on the cases of the reversal network public opinion by SPSS21,then puts forward the classification criteria of the reversal network public opinion.【Results/conclusion】The results show that the nature of the event,the tendency of the report,the form of the report,the starting platform and the relevance of the Internet users are important factors influencing the network public opinion reversal.According to the classification result and the discriminant analysis,the discriminant prediction function is obtained and finally put forward strategies to confront with this reversal problem.