图书情报工作 ›› 2019, Vol. 63 ›› Issue (10): 106-114.DOI: 10.13266/j.issn.0252-3116.2019.10.012

• 情报研究 • 上一篇    下一篇

网络舆情场中观点簇丛的情感极化度测算

高俊峰1, 黄微2   

  1. 1. 北华大学图书馆 吉林 132013;
    2. 吉林大学管理学院 长春 132013
  • 收稿日期:2018-09-13 修回日期:2019-01-08 出版日期:2019-05-20 发布日期:2019-05-20
  • 作者简介:高俊峰(ORCID:0000-0003-0703-2606),馆员,博士;黄微(ORCID:0000-0002-7003-4631),教授,博士生导师。
  • 基金资助:
    本文系教育部人文社会科学研究青年基金项目"网络舆情场内信息受众的观点分析与情感极化管控研究"(项目编号:17YJC870006)研究成果之一。

Measuring the Emotional Polarization of Opinion Cluster in Network Public Opinion Field

Gao Junfeng1, Huang Wei2   

  1. 1. Beihua University Library, Jilin 132013;
    2. Institute of Information Resource Management and Service, Jilin University, Changchun 132013
  • Received:2018-09-13 Revised:2019-01-08 Online:2019-05-20 Published:2019-05-20

摘要: [目的/意义] 提出网络舆情场内观点簇丛的情感极化度测算方法,为量化舆情受众情感态势和识别极化群体提供依据。[方法/过程] 首先明确舆情受众情感极化的条件,再通过设置条件阈值筛选出满足条件的观点簇丛,在此基础上引入3个极化指标(受众吸引率、极端受众增长率、极化情感增长率)描述观点簇丛在测度时间窗口内的情感发酵程度。最后利用平滑权值,对观点簇丛在不同测度阶段的情感表现进行加权综合,得出其整体情感极化程度值。[结果/结论] 观点簇丛在每个时间窗口的情感表现能为阶段性的舆情受众情感极化干预提供判断依据,而综合的情感极化度有助于准确识别场域内的敏感话题及群体,便于网络舆情的精准管控。

关键词: 网络舆情治理, 情感极化测度, 观点分析, 网络舆情场

Abstract: [Purpose/significance] This paper proposes a method to measure the emotional polarization degree of the opinion cluster in network public opinion field, which provides a basis for quantifying the emotional situation of opinion audience, identifying strongly polarized groups.[Method/process] Firstly, the conditions of emotional polarization of public opinion audience are defined. Then, by setting conditional thresholds, the opinion cluster satisfying the conditions is screened out. Based on that, three polarization descriptive indexes(audience attraction rate/growth rate of extreme audience/growth rate of polarized emotion)are introduced to describe the emotional fermentation degree of opinion clusters in the measurement time phase. Finally, the smoothing weights are introduced to weigh and synthesize the polarization performance of each opinion cluster in the measurement time series, and the overall emotional polarization degree is obtained.[Result/conclusion] The emotional performance of opinion clusters at each time phase can provide judgement basis for phased emotional polarization intervention of public opinion audience. The comprehensive emotional polarization value is helpful to accurately identify the sensitive topics and groups in the field, and providing convenience for precise control of network public opinion.

Key words: network public opinion governance, emotional polarization measurement, opinion analysis, network public opinion field

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