摘要
[目的/意义]研究新冠疫情网络舆情数据中网民关注度、情绪波动与主流媒体话语引导间的关系,以为突发事件网络舆情治理与媒体宣传提供新的视角。[方法/过程]利用"知微事见"确定2020年上半年国内疫情社会影响力最高的5组事件,基于Python语言的Scrap-Redis爬虫框架、SnowNLP情感分析模型和TF-IDF算法,对这5组事件发生后人民日报、新华视点、光明网三大政务新媒体相关微博报道的4万余条用户热门评论进行情感分析,并根据日期和相关主题进行情感统计及可视化。[结果/结论]分析表明,主流媒体报道对网民情绪纾解起到积极作用。主流媒体通过发挥意见领袖主导作用、主动回应虚假信息、跟踪报道社会热点等话语引导策略,能够有效平复网民恐慌和不满情绪,引导公众信息关注焦点重新回归理性。政府部门应从提高主流媒体信息回应能力、抢占信息报道话语权和增强网络舆情的协同应对能力着手,构建系统全面的突发公共事件数字治理格局,加快推进建设正确导向的舆论引导工作机制。
[Purpose/significance]Using COVID-19 online public opinion data to study the relationship between netizen attention,mood swings and mainstream media discourse guidance can provide a new perspective for online public opinion governance and media publicity in emergencies.[Method/process]Using"knowing the little things and seeing"to determine five groups of events with the highest social impact of domestic epidemic in the first half of 2020,the Scrap-Redis crawler framework based on Python language,the SnowNLP sentiment analysis model and the TF-IDF algorithm were used to sentiment analyze on more than 40,000 popular user comments reported by the People’s Daily,Xinhua Viewpoint,and Guangming.com’s three new media for government affairs related microblogs after the occurrence of these five groups of events,then sentiment statistics and visualization were performed for these five groups of events according to the dates and related topics.[Result/conclusion]The analysis shows that mainstream media reports play a positive role in relieving netizens’emotions.By using discourse guidance strategies with playing the leading role of opinion leaders,actively responding to false information,tracking and reporting social hot spots,mainstream media can effectively calm the panic and dissatisfaction of Internet users,and guide the focus of public information to return to rationality.By improving the information response ability of mainstream media,seizing the discourse power of information reports,and enhancing the collaborative response ability of online public opinion,government departments build a systematic and comprehensive digital governance pattern of public emergencies,and accelerate the construction of a public opinion guidance work mechanism that adheres to the correct orientation.
作者
张冬
魏俊斌
Zhang Dong;Wei Junbin(School of Law,Ji Mei University,Xiamen 361021;College of Marxism,Harbin Engineering University,Harbin 150001 Received:2021-02-09 Revised:2021-04-02 Online:2021-07-20 Publi)
出处
《图书情报工作》
CSSCI
北大核心
2021年第14期101-108,共8页
Library and Information Service
基金
国家社会科学基金重大项目子课题"创新驱动发展战略下知识产权公共领域问题研究-传统文化领域"(项目编号:17ZDA139)
国家社会科学基金项目"疫情背景下网络舆情的法治化治理研究"(项目编号:20CKS045)研究成果之一。
关键词
新冠疫情
媒体信息
情感变化
网络舆情治理
话语引导
COVID-19
media information
emotional changes
network public opinion management
discourse guidance
