信息安全研究 ›› 2021, Vol. 7 ›› Issue (2): 155-165.

• 学术论文 • 上一篇    下一篇

新冠肺炎疫情中的社交媒体和舆情应对研究

宁忠华   

  1. 华东政法大学
  • 收稿日期:2021-02-09 出版日期:2021-02-05 发布日期:2021-02-09
  • 通讯作者: 宁忠华
  • 作者简介:宁忠华 硕士研究生,主要研究方向为公共经济研究.

"Believe in authority or not"? A Study on Social Media and Public Opinion Response in COVID-19 Pandemic

  • Received:2021-02-09 Online:2021-02-05 Published:2021-02-09

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。本文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、凝聚子群三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本文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。因此本文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。

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

Abstract: 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 public opinion response and information governance research under social media is important. This paper uses social network analysis to select the public opinion of "Shuanghuanglian Incident", which is representative 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 several types of media platforms, and the study finds that different types of media presents a differential order pattern in public opinion events . The influence of traditional media is enormous. First, the central media represented by CCTV in government media has played a leading role in public opinion. Then the overall performance of emerging media is poorly except "Toutiao".At last the role of "opinion leaders" is insignificant. Therefore, this article believes that under the guidance of the government, it should be gradually form a collaborative governance involving traditional media, government media, emerging media, and netizens.

Key words: COVID-19, Shuanghuanglian Incident, Internet public opinion, social media, social network, public opinion response