摘要
[目的/意义]细化社交机器人对网民情感的干预机制,同时从实践上为网络突发事件舆情治理提供建议参考.[方法/过程]以仁济医院赵晓菁事件为例,利用朴素贝叶斯方法计算微博情感倾向,通过构建向量自回归模型(VAR)并进行格兰杰因果检验、脉冲响应分析以及方差分解分析,确定社交机器人、意见领袖与普通用户在事件生命周期各阶段的情感关系.[结果/结论]社交机器人、意见领袖与普通用户的情感关系随舆情阶段演进发生变化,在爆发期,社交机器人放大了意见领袖对普通用户的情感影响;在成熟期,社交机器人影响或微,普通用户的情感反作用于社交机器人与意见领袖;在衰退期,三者保持较为独立的情感关系.此外,社交机器人的影响策略具有隐匿性和间接性特征.
[Purpose/significance]This study further elaborates the intervention mechanism of social bots onnetizens’sentiment and provides suggestions for the management of public opinions in online emergencies.[Method/process]Taking the incident of Zhao Xiaojing in Renji Hospital as an example,with the Naive Bayes methodcalculating Weibo sentiment orientation,this study used the Granger causality test,impulse response analysis,andvariance decomposition analysis based on the vector autoregression model(VAR)to judge the sentiment relationshiphetween social bots,opinion leaders and ordlinary users at all stages of the event life cycle.[Result/conclusion]The sentiment relationship between social bots,opinion leaders,and ordinary users changed with the evolution of theevent.In the outbreak stage,social bots amplified the sentiment influence of opinion leaders on ordinary users.Inthe mature stage,the influence of social bots declined,and the sentiment of ordinary users reacted to social bots andopinion leaders.In the decline period,the three maintained a relatively independent sentiment relationship;Be-sides,the influence strategies of social bots were both insidious and indirect.
作者
马晓悦
孟啸
王镇
刘益东
Ma Xiaoyue;Meng Xiao;Wang Zhen;Liu Yidong(School of Journalism and New Media,Xi’an Jiaotong University,Xi’an 710049;Wei Re Dian Big Data Research Institute,Shanghai 201203)
出处
《图书情报工作》
CSSCI
北大核心
2021年第8期74-84,共11页
Library and Information Service
基金
教育部人文社会科学研究规划基金“信息协同视角下基于可视化媒介的智慧应急响应行为研究”(项目编号:19YJA87009)
陕西省自然科学基础研究计划一般项目-面上项目“基于散射-叠加效应的新媒体信息演化模型构建及事件类别判定研究”(项目编号:2020JM-056)研究成果之一。
