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新传播生态下体育赛事网络舆论特征及治理——基于结构分析与情感分析的双重视角 被引量:19

Characteristics and Governance of Internet Public Opinion of Sports Events in the New Ecological Environment of Communication—A Dual Perspective Based on Network Structural Analysis and Sentiment Analysis
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摘要 新传播生态促成了体育赛事的高影响力,也加剧了体育赛事网络舆论的复杂性和不可控性,造成了舆论治理的困境。借鉴传播学有关网络舆论研究的经验,提出从结构分析和情感分析相结合的双重视角,理解体育赛事网络舆论的演化特征。以"2019年女排世界杯中国队夺冠"为案例的分析发现,体育赛事网络舆论演化是技术层面的网络结构和内容层面的情感表达相互作用的结果。由此提出新传播生态下体育赛事网络舆论治理的新思维,即立足结构和情感双重维度,善用中心节点的特性、把握赛事的情感属性,利用结构与情感的相互作用,把政府、平台和社会的多元互动纳入到舆论治理中来,建设动态平衡的网络舆论生态。 The new ecological environment of communication not only enhances the influence of sports events,but also strengthens the complexity and uncontrollability of internet public opinion of sports events,resulting in the dilemma of public opinion governance.By drawing on the experience of internet public opinion research in journalism and communication field,this paper proposes to understand the evolution characteristics of internet public opinion of sports events from the dual perspectives of structural analysis and sentiment analysis.Based on the case of"Chinese Women’s Volleyball Team Winning the Championship of the Women’s Volleyball World Cup 2019",it is found that:The evolution of network public opinion of sports events is the result of the interaction between network structure and sentiment expression.Therefore,this paper puts forward the new concept of sports events internet public opinion governance in the new ecological environment of communication.That is,based on the dual dimensions of structure and sentiment,making good use of the central node,supervising the sentiment of the sports events,and using the multi-interaction among government,platform and society,so as to build a dynamic equilibrium internet public opinion ecology.
作者 万晓红 陈嘉宝 WAN Xiaohong;CHEN Jiabao(School of Journalism and Communication,Wuhan Sports University,Wuhan 430079,China)
出处 《体育科学》 CSSCI 北大核心 2021年第4期23-31,共9页 China Sport Science
基金 国家社会科学基金项目(20BTY038)。
关键词 体育赛事 网络舆论治理 结构分析 情感分析 sports events internet public opinion governance network structural analysis sentiment analysis
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