图书情报工作

图书情报工作 >

2024 , Vol. 68 >Issue 23: 63 - 75

DOI: https://doi.org/10.13266/j.issn.0252-3116.2024.23.006

情报研究

面向重大突发公共卫生事件舆情的政府辟谣信息效果评价研究——基于信息覆盖与信息说服双视角的实证

  • 陈娟 ,
  • 谢丹 ,
  • 邓胜利 ,
  • 孙晶琼
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  • 1 武汉工程大学管理学院 武汉 430205;
    2 华中农业大学公共管理学院 武汉 430070;
    3 武汉大学信息管理学院 武汉 430072
陈娟,教授,博士,博士生导师;谢丹,硕士;邓胜利,教授,博士,博士生导师。

收稿日期: 2024-03-15

  修回日期: 2024-08-01

  网络出版日期: 2024-12-04

基金资助

本文系国家社会科学基金一般项目"面向动态疫情的政府辟谣信息效果评价及提升路径研究"(项目编号:21BTQ101)研究成果之一。

收起

Evaluating the Effectiveness of Government Rumor Refutation in Major Public Health Emergencies: An Empirical Study from the Dual Perspectives of Information Coverage and Persuasion

  • Chen Juan ,
  • Xie Dan ,
  • Deng Shengli ,
  • Sun Jingqiong
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  • 1 College of Management, Wuhan Institute of Technology, Wuhan 430205;
    2 College of Public Administration, Huazhong Agricultural University, Wuhan 430070;
    3 School of Information Management, Wuhan University, Wuhan 430072

Received date: 2024-03-15

  Revised date: 2024-08-01

  Online published: 2024-12-04

Supported by

This work is supported by the National Social Science Fund of China project titled “Evaluation and Improvement Path of the Persuasive Effect of Government Rumor Refutation Information in the Face of Dynamic Epidemics”(Grant No.21BTQ101).

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摘要

[目的/意义] 考虑重大突发公共卫生事件舆情情境下政府辟谣信息效果的过程性与结果性，提升政府辟谣信息覆盖率和说服力，量化政府辟谣能力，为政府舆情治理提供实践指引。[方法/过程] 基于信息覆盖与信息说服双视角，引入社会网络分析指标与信息说服理论，构建政府辟谣信息效果二维评价指标体系，并使用层次分析法进行权重设计。以新冠疫情舆情为实证分析对象，通过社会网络分析、情感分析、综合评价进行重大突发公共卫生事件舆情情境下政府辟谣信息效果测度实证，验证评价指标体系有效性。[结果/结论] 实证分析结果表明，该评价指标体系能有效反映重大突发公共卫生事件舆情情境下的政府辟谣信息效果，政府应根据舆情发展周期，制定阶段化辟谣策略，创新辟谣信息的传播路径，并建立持续的辟谣效果评估机制，以深化辟谣信息效果，提升网络谣言治理水平。

关键词： 政府辟谣; 社会网络; 说服理论; 信息效果; 重大突发公共卫生事件

本文引用格式

陈娟 , 谢丹 , 邓胜利 , 孙晶琼 . 面向重大突发公共卫生事件舆情的政府辟谣信息效果评价研究——基于信息覆盖与信息说服双视角的实证[J]. 图书情报工作, 2024 , 68(23) : 63 -75 . DOI: 10.13266/j.issn.0252-3116.2024.23.006

Abstract

[Purpose/Significance] This paper explores the effectiveness of government rumor-refuting information in the context of significant public health emergencies, focusing on both the process and outcomes.It aims to quantify the government’s ability to manage online rumors, improve the reach and persuasiveness of government-provided information, and offer practical guidance for government public opinion management.[Method/Process] Utilizing a dual perspective of information coverage and persuasion, this paper integrated social network analysis metrics and the theory of information influence to construct a two-dimensional evaluative framework for the effectiveness of government rumor-refuting information.The Analytic Hierarchy Process (AHP) was applied to determine the weights of the indices.The COVID-19 pandemic was taken as a case study for empirical analysis, employing social network analysis, sentiment analysis, and comprehensive evaluation to measure the government’s rumor-refuting efforts across the public opinion cycle of a public health emergency.This approach validated the effectiveness of the evaluative system proposed.[Result/Conclusion] The empirical results demonstrate that the evaluative framework effectively reflects the impact of government rumor-refuting information in the face of major public health emergencies.It recommends that governments develop phased rumor-refuting strategies in response to the progression of public sentiment, innovate in the dissemination pathways of corrective information, and establish a continuous assessment mechanism for the effectiveness of their rumor-refuting efforts.Such actions are crucial for enhancing the influence of rumor-refuting information and elevating the caliber of online rumor management.

Key words： government rumor-refuting; social network; persuasion theory; information effectiveness; major public health emergency

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