首页|突发公共卫生事件下网络情绪为何极化?——基于30个案例的清晰集定性比较分析

突发公共卫生事件下网络情绪为何极化?——基于30个案例的清晰集定性比较分析

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应对重大突发公共卫生事件不仅要加强疫情防控,更要稳定公众情绪,尤其要防范网络情绪极化诱发的次生灾害.选取"知微事见"网络平台的 30 个典型案例,基于事件属性、传播属性和政府回应三个分析维度,运用清晰集定性比较分析方法探求网络情绪极化的发生条件及组合情况.研究发现,"非正式传播渠道""媒体报道的倾向性"是导致网络情绪极化的必要条件,"意见领袖参与"是网络情绪极化的充分条件,"政府回应质量"是网络情绪极化的关键;网络情绪演化存在"指向公权力-隐瞒思维"、"指向公众-媒介主导"和"指向公众-回应不力"三种极化逻辑与模式;突发公共卫生事件背景下,网络事件属性发挥基础作用,其传播属性较于前者的作用更大,政府回应方式与事件的传播属性相结合影响回应的效果,从而影响网络情绪的演进方向.
Why do Internet Emotions Exhibit Polarization in Public Health Emergencies?——A clear set qualitative comparative analysis based on 30 cases
The response to major public health emergencies should not only prevent and control the epidemic,but also stabilize people's emotions and prevent secondary disasters caused by Internet emotional polarization.Event attribute,propagation attribute and government response are the three important factors that affect the polarization of Internet emotions.30 cases from Zhiwei Data were analyzed by csQCA to explore the occurrence conditions and combination of internet emotional polarization.It is found that"informal communication channels"and"tendency of media reports"are necessary conditions leading to internet emotional polarization,"participation of opinion leaders"is sufficient condition for internet emotional polarization,and"quality of government response"is the key to internet emotional polarization.There are three kinds of polarization logic and patterns in the evolution of internet emotion:"pointing to public power thinkingofconcealment","pointing to public-media dominance"and"pointing to public-ineffective response".In the context of public health emergencies,the attributes of network events play a fundamental role,and their communication attributes play a greater role than the former.The combination of the government's response mode and the communication attributes of the events affects the response effect,and thus affects the evolution direction of internet emotion.

Public health emergenciesInternet emotionPolarizationQualitative comparative analysis

侯光辉、傅百良、唐也

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汕头大学法学院,广东 汕头 515063

突发公共卫生事件 网络情绪 极化 定性比较分析

2024

汕头大学学报(人文社会科学版)
汕头大学

汕头大学学报(人文社会科学版)

CHSSCD
影响因子:0.291
ISSN:1001-4225
年,卷(期):2024.40(7)