摘要
新的传播技术改变了社会信息的流动结构,舆论极化与新媒体紧密相关,因此对于社交媒体下的舆情应对与信息治理亟待深入研究.利用社会网络分析方法,选取疫情期间具有代表性的"双黄连事件"的网络舆情进行定量分析,从网络密度、中心度、凝聚子群3个方面分析网络结构,探索不同节点行动者的行为特征及表现.按照舆情网络的权利状态划分了多种不同类型的媒体平台,研究发现不同类型媒体在舆情事件中影响和作用呈现差序格局.传统媒体影响力和作用巨大;政府媒体中以央视为代表的中央媒体在舆情中发挥了引导和领航作用;新兴媒体总体表现差强人意,但以"头条新闻"为代表的个别新兴媒体表现夺目;自媒体中"意见领袖"的作用甚微,并不能影响舆情的发展方向.因此认为应在政府的引导下,逐步形成传统媒体、政府媒体、新兴媒体及网民参与的多主体协同治理格局.
The new communication technology has changed the flow structure of social information,while the polarization of public opinion is closely related to new media.Therefore,the research of public opinion response and information governance under social media is important.This paper selects the public opinion of"Shuanghuanglian Incident"for quantitative analysis by using social network,which is the representative case during the epidemic.We analyze the network structure from three aspects of network density,centrality,and cohesive subgroups,then explore the behavior characteristics and performance of different node actors.According to the rights status of public opinion networks,this paper divides media platforms into several types,andfinds that different types of media presents a differential order pattern in public opinion events.The influence of traditional media is enormous.The central media represented by CCTV in government media has played a leading role in public opinion.The overall performance of emerging media is poorly except for a few,for example,"Toutiao".The role of"opinion leaders"is insignificant,and it can not affect the development direction of public opinion.Therefore,this paper believes that under the guidance of the government,it should gradually form a collaborative governance involving traditional media,government media,emerging media,and netizens.
作者
宁忠华
Ning Zhonghua(School of Politics and Public Managements,East China University of Political Science and Law,Shanghai 201620)
出处
《信息安全研究》
2021年第2期155-165,共11页
Journal of Information Security Research
关键词
新冠肺炎
双黄连事件
网络舆情
社交媒体
社会网络
舆情应对
COVID-19
Shuanghuanglian Incident
internet public opinion
social media
social network
public opinion response
