农业图书情报学报2025，Vol.37Issue(1)：86-99,14.DOI:10.13998/j.cnki.issn1002-1248.25-0084
信息生态视角下突发公共事件网络舆情热度生成机理研究
Generating Mechanism of Online Public Opinion Heat in Public Emergencies from the Perspective of Information Ecology:Fuzzy Set Qualitative Comparative Analysis Based on 50 Cases
摘要
Abstract
[Purpose/Significance]Public emergencies frequently trigger online public opinion,exacerbating public panic and threatening social stability.The intrinsic linkage between public emergencies and online discourse amplifies the dissemination of public emotions,attitudes,and perspectives across online platforms,creating a feedback loop that influences event dynamics.Investigating the generation mechanism of public opinion on hot topics in such contexts provides critical theoretical foundations for mitigating cyber discourse risks,while enhancing the accuracy and efficiency of governmental mangement over online public opinion.[Method/Process]From an information ecology perspective,this study employs fuzzy-set qualitative comparative analysis to examine the online public opinion heat of 50 public emergencies between 2020 and 2022.We analyze eight conditional variables across four dimensions-information,information person,information technology,and information environment-including peak propagation speed,peak event popularity,netizen attention,opinion leaders'communication power,important media participation,central media coverage,the proportion of the overall public opinion field,and event duration.Single-factor necessity detection and configuration analysis were performed,and robustness was tested by adjusting calibration points and consistency thresholds.Finally,based on empirical findings,we interpreted case studies and proposed a mechanism for the generation of online public opinion heat in public emergencies.[Results/Conclusions]The results reveal that information and information people are the primary drivers and key causes of hot public opinion.Although information environment and information technology are not necessary conditions,they still contribute to the process.In public emergencies,multiple factors jointly influence online public opinion,and no single factor alone determines its intensity.Rather,the complementarity of multiple factors can,to some extent,substitute for seemingly necessary conditions.The key findings reveal that the event's peak plays a dominant role in driving high online public opinion intensity,and directly triggers its rapid outbreak,while the absence of major media participation and short event duration-core conditions for non-hot events-significantly reduce public engagement due to limited coverage and transient attention.Additionally,opinion leaders'communication power exhibits a strong positive correlation with public opinion on hot topics,as their amplified expressions attract more attention from netizens and further amplify the momentum of the discourse.These findings will provide valuable insights for effectively managing and controlling online public opinion during emergencies.Future research should examine the impact of emotional shifts,such as positive,negative,and neutral emotions,on the virality of online public opinion during emergencies,while also exploring the underlying mechanisms of such emotional shifts.Additionally,future studies should differentiate between policy stages in emergency development and examine how policy interventions shape the dynamics of public opinion.Finally,network analysis techniques(e.g.,forwarding relationship networks,key evolutionary network structures)should be employed to uncover the mechanisms that drive public opinion heat in emergency-related discourse.关键词
信息生态/模糊集定性比较分析/突发公共事件/网络舆情热度/社交媒体/信息行为Key words
information ecology/fuzzy set qualitative comparative analysis/public emergencies/internet public opinion heat/social media/information behavior分类
社会科学引用本文复制引用
游鸽,李洁琳,张帆顺..信息生态视角下突发公共事件网络舆情热度生成机理研究[J].农业图书情报学报,2025,37(1):86-99,14.基金项目
国家自然科学基金青年项目"数字化赋能雨洪灾害下超特大城市社区韧性动态测量与提升策略研究"(72404237) （72404237）
广东省哲学社会科学规划2024年度青年项目"突发事件冲击下的金融系统性风险传染机理与预警机制研究"(GD24YGL32) （GD24YGL32）
广东省普通高校青年创新人才类项目"群体动力学视角下学科知识网络中新兴主题涌现模型与探测算法研究"(2022KQNCX138) （2022KQNCX138）
