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高校突发事件网络舆情的形成模式、原因及治理。

The formation pattern, causes, and governance of network public opinion on university emergencies.

机构信息

School of Information Management, Zhengzhou University, Zhengzhou, China.

Research Center of Date Science, Zhengzhou, China.

出版信息

Front Public Health. 2024 Aug 23;12:1367805. doi: 10.3389/fpubh.2024.1367805. eCollection 2024.

DOI:10.3389/fpubh.2024.1367805
PMID:39247230
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11377283/
Abstract

BACKGROUND

University emergencies, garnering significant public attention and shaping network opinions, pose a crucial challenge to universities' management and societal stability. Hence, network public opinion on university emergencies is a vital issue. Nevertheless, the underlying mechanism has not been fully explored and cannot be efficiently controlled. This study aimed to explore the formation pattern of network public opinion on university emergencies, analyze its causes, and provide scientific governance strategies for coping with this issue.

METHODS

Based on a sample set of 204 cases from the Zhiwei Data Sharing Platform, this study classifies network public opinion on university emergencies into six types and visually analyzes their characteristics: time distribution, subject, duration, and emotion. By integrating the theory of the network public opinion field, this study develops a network public opinion field model of university emergencies to reveal its formation pattern. Furthermore, it analyzes the causes of network public opinion on university emergencies from the perspective of the public opinion lifecycle and proposes corresponding governance strategies.

RESULTS

The sample consisted of 304 cases of real-life public opinion, and the visualization results show that public opinion on mental health and teacher-student safety constitutes the predominant types, accounting for 83.3%. High-occurrence subjects are public universities (88.24%) and students (48%). The most frequent months are July and December. 90.20% of the public opinions have a lifespan of less than 19 days, with an impact index ranging from 40 to 80. The public's emotional response to different types of public opinion varies, with negative emotions dominating.

CONCLUSION

This study provides novel insights for understanding their formation and dissemination. It also provides practical implications for relevant departments to govern network public opinion on university emergencies.

摘要

背景

高校突发事件备受公众关注,影响网络舆论,对高校管理和社会稳定构成重大挑战。因此,高校突发事件的网络舆情是一个重要问题。然而,其形成机制尚未完全阐明,也无法有效控制。本研究旨在探讨高校突发事件网络舆情的形成模式,分析其成因,并为应对这一问题提供科学的治理策略。

方法

本研究基于知微数据共享平台的 204 个案例样本,将高校突发事件网络舆情分为六类,并对其特征进行可视化分析:时间分布、主体、持续时间和情绪。本研究整合网络舆情场理论,构建高校突发事件网络舆情场模型,揭示其形成模式。此外,还从舆情生命周期的角度分析高校突发事件网络舆情的成因,并提出相应的治理策略。

结果

样本包括 304 个真实舆情案例,可视化结果表明,心理健康和师生安全舆情占主导地位,占 83.3%。高频发生的主体是公立大学(88.24%)和学生(48%)。最频繁的月份是 7 月和 12 月。90.20%的舆情寿命不到 19 天,影响指数在 40 到 80 之间。公众对不同类型舆情的情绪反应不同,以负面情绪为主。

结论

本研究为理解高校突发事件网络舆情的形成和传播提供了新的视角,也为相关部门治理高校突发事件网络舆情提供了实践启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/11377283/008b690f0da5/fpubh-12-1367805-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/11377283/857480dc3f5b/fpubh-12-1367805-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/11377283/0c19f250ddf1/fpubh-12-1367805-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/11377283/002b92e22b47/fpubh-12-1367805-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/11377283/264f69e11b26/fpubh-12-1367805-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/11377283/a6ba4e87993a/fpubh-12-1367805-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/11377283/97871235ff6f/fpubh-12-1367805-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/11377283/b45d0d58ce4f/fpubh-12-1367805-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/11377283/81a1ffdc5074/fpubh-12-1367805-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/11377283/708c7fa471c9/fpubh-12-1367805-g010.jpg
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Public opinion communication mechanism of public health emergencies in Weibo: take the COVID-19 epidemic as an example.突发公共卫生事件的微博公众舆论传播机制——以新冠肺炎疫情为例。
Front Public Health. 2023 Nov 9;11:1276083. doi: 10.3389/fpubh.2023.1276083. eCollection 2023.
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