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连子琴, 陈文汇, 刘俊昌. 野生动物网络舆情传播阶段划分及应对策略研究[J]. 北京林业大学学报(社会科学版), 2022, 21(2): 71-77. DOI: 10.13931/j.cnki.bjfuss.2021188
引用本文: 连子琴, 陈文汇, 刘俊昌. 野生动物网络舆情传播阶段划分及应对策略研究[J]. 北京林业大学学报(社会科学版), 2022, 21(2): 71-77. DOI: 10.13931/j.cnki.bjfuss.2021188
Lian Ziqin, Chen Wenhui, Liu Junchang. The Spread of Public Opinions on Wild Animals: Stage Division and Countermeasures[J]. Journal of Beijing Forestry University (Social Science), 2022, 21(2): 71-77. DOI: 10.13931/j.cnki.bjfuss.2021188
Citation: Lian Ziqin, Chen Wenhui, Liu Junchang. The Spread of Public Opinions on Wild Animals: Stage Division and Countermeasures[J]. Journal of Beijing Forestry University (Social Science), 2022, 21(2): 71-77. DOI: 10.13931/j.cnki.bjfuss.2021188

野生动物网络舆情传播阶段划分及应对策略研究

The Spread of Public Opinions on Wild Animals: Stage Division and Countermeasures

  • 摘要: 利用S-H-ESD算法对野生动物网络舆情传播过程中的异常值进行监测,可以较为精确地找出各阶段的分割点,为探究野生动物网络舆情传播过程中各阶段变化特征和内在规律提供实证依据,有益于把握正确的保护野生动物舆论导向。运用S-H-ESD算法对野生动物网络舆情事件进行阶段划分,结果表明网络舆情传播周期可以划分为萌芽期、爆发期、缓解期和衰退期。根据各阶段特征提出监测—介入—引导—评估一套完整的应对野生动物网络舆情危机事件的策略。并提出如下建议:①完善野生动物网络舆情风险评估体系,划分不同种类的野生动物风险等级,强化野生动物网络舆情风险管控;②建立野生动物网络舆情预警与监管系统,科学防范人与野生动物冲突问题。

     

    Abstract: This study uses S-H-ESD algorithms to monitor the outliers in the process of dissemination of public opinions on wild animals, which can more accurately find the segmentation points of each stage, and provide a certain empirical basis for exploring the changing characteristics and internal laws of each stage in the process of disseminating online public opinions on wild animal. It is helpful to grasp the correct guidance of public opinions for wildlife protection. This study uses S-H-ESD algorithm to divide the stages of wildlife-related network events with mass public opinions. The results show that the life cycle of communication of wildlife-related network public opinions can be divided into germination period, outbreak period, mitigation period and decline period. On this basis, according to the characteristics of each stage, a complete set of strategies and suggestions for "monitoring-intervention-guidance-evaluation" are proposed to deal with the crisis of network public opinions on the wildlife. Finally, we propose the following suggestions: ①improve the online public opinion risk assessment system concerning wild animals, and classify the risk levels of different types of wild animals, strengthen the risk management and control of public opinions on the wildlife network; ②establish an early warning and supervision system for wildlife-related network public opinions to scientifically prevent the problem of "conflict between man and wildlife".

     

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