图书情报工作 ›› 2020, Vol. 64 ›› Issue (18): 89-96.DOI: 10.13266/j.issn.0252-3116.2020.18.010

• 情报研究 • 上一篇    下一篇

舆情当事人回应对网民情感的影响研究

孔婧媛, 滕广青, 王思茗, 庹锐   

  1. 东北师范大学信息科学与技术学院 长春 130117
  • 收稿日期:2020-02-11 修回日期:2020-04-20 出版日期:2020-09-20 发布日期:2020-09-20
  • 通讯作者: 滕广青(ORCID:0000-0002-1053-0959),教授,博士生导师,通讯作者,E-mail:tengguangqing@163.com
  • 作者简介:孔婧媛(ORCID:0000-0002-7475-2884),硕士研究生;王思茗(ORCID:0000-0003-0133-3694),硕士研究生;庹锐(ORCID:0000-0002-7207-8750),博士研究生。
  • 基金资助:
    本文系国家社会科学基金重大项目"大数据驱动的社交网络舆情主题图谱构建及调控策略研究"(项目编号:18ZDA310)研究成果之一。

Impact of Party's Responses on Netizens' Emotions in Public Opinion

Kong Jingyuan, Teng Guangqing, Wang Siming, Tuo Rui   

  1. School of Information Science and Technology, Northeast Normal University, Changchun 130117
  • Received:2020-02-11 Revised:2020-04-20 Online:2020-09-20 Published:2020-09-20

摘要: [目的/意义] 探索网络舆情演化的内在机理能够对舆情发展获得更深层的洞见,有助于相关单位或部门在舆情事件中实现科学的决策与引导。[方法/过程] 研究工作选取特定舆情事件的当事人博文及对应的转发评论,基于情感词典计算评论文本的情感分值。采用时间序列的视角,对舆情发展过程中情感极性的变化以及当事人回应对网民情感的影响进行动态分析。[结果/结论] 研究结果表明,当事人的回应对网民的关注程度有直接影响;舆情发展过程中网民的情感极性并非一成不变;回应的内容直接影响网民的情感,有效的证据和诚恳的态度有助于平抑舆情中的负面消极情绪。

关键词: 网络舆情, 当事人回应, 情感极性, 情感分析

Abstract: [Purpose/significance] Exploring the internal mechanism of the evolution of Internet public opinion can gain deeper insights into the development of public opinion and help relevant units or departments to achieve scientific decision-making and guidance in public opinion events.[Method/process] This paper selected the parties' blog posts and the corresponding reposted comments of specific public opinion events, and calculated the sentiment score of the review text based on the sentiment dictionary. Using the perspective of time series, dynamic analysis was made on the change of emotional polarity and the impact of the party's responses on the emotions of netizens during the development of public opinion.[Result/conclusion] The results show that the party's responses have a direct impact on the emotional polarity of netizens; the emotional polarity of netizens during the development of public opinion is not static; the contents of the responses directly affect the netizens' emotional polarity, valid evidence and sincere attitudes help calm negative sentiments in public opinion.

Key words: Internet public opinion, party's response, emotional polarity, sentiment analysis

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