基于微博特征比较的公共事件严重性评估及预警机制

Miaomiao Chen, Lu An, Gang Li, Chuanming Yu
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摘要

本研究的目的是从社交媒体的角度实时评估公共事件的严重程度,构建公共事件的预警机制。设计/方法/途径本研究从网民角色、网络媒体角色、公共事件传播、网民态度感受等维度构建了公共事件严重性评估体系。提出了公共事件严重性指标影响趋势分析方法。共调查了涉及4个公共事件的1107308条微博。公共事件的严重程度分为四个等级。结果发现,在微博平台上,重度公共事件的指标值高于中度公共事件。建立了公共事件的定量严重性分级标准,建立了公共事件预警机制。研究局限/启示微博等社交媒体平台为公共事件的实时研究和判断提供了丰富的线索。本研究仅以微博平台为数据源进行调查。未来也可以考虑其他社交媒体平台。独创性/价值不同于基于实体损失判断公共事件严重程度的事后评价方法,本研究构建了一种定量方法,根据社交媒体反映的线索动态判断公共事件的严重程度。研究结果可以帮助应急管理部门客观判断公共事件的严重程度,减少主观的疏忽和误判。
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Severity assessment and the early warning mechanism of public events based on the comparison of microblogging characteristics
PurposeThe purpose of the study is to evaluate the severity of public events in real time from the perspective of social media and to construct the early warning mechanism of public events.Design/methodology/approachThis study constructed the severity assessment system of public events from the dimensions of the netizens' role, the Internet media's role, the spread of public events and the attitudes and feelings of netizens. The method of analyzing the influence tendency of the public event severity indicators was proposed. A total of 1,107,308 microblogging entries regarding four public events were investigated. The severity of public events was divided into four levels.FindingsIt is found that serious public events have higher indicator values than medium level events on the microblogging platform. A quantitative severity classification standard for public events was established and the early warning mechanism of public events was built.Research limitations/implicationsMicroblogging and other social media platforms provide rich clues for the real-time study and judgment of public events. This study only investigated the Weibo platform as the data source. Other social media platforms can also be considered in future.Originality/valueDifferent from the ex-post evaluation method of judging the severity of public events based on their physical loss, this study constructed a quantitative method to dynamically determine the severity of public events according to the clues reflected by social media. The results can help the emergency management departments judge the severity of public events objectively and reduce the subjective negligence and misjudgment.
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