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基于 WSR 理论的 COVID-19 疫情网络舆情分析

Analysis of network public opinion on COVID-19 epidemic based on the WSR theory.

机构信息

School of Economics and Management, Anhui University of Science and Technology, Huainan, Anhui, China.

出版信息

Front Public Health. 2023 Jan 13;10:1104031. doi: 10.3389/fpubh.2022.1104031. eCollection 2022.

Abstract

OBJECTIVE

To obtain the influencing factors of public opinion reactions and to construct a basic framework of the factors causing the occurrence of online public opinion in the epidemic area.

METHODS

The hot news comments on microblogs during the epidemic in Shanghai were collected and analyzed with qualitative analysis, grounded theory, and the "Wuli-Shili-Renli" (WSR) methodology as an auxiliary method.

RESULTS

(1) Three core categories of the Wuli system, the Shili system, and the Renli system, 15 main categories, and 86 categories that influence the development of network public opinion are obtained. (2) WSR Elements Framework Of Network Public Opinion (WSR-EFONPO) is established. (3) The WSR-EFONPO is explained.

CONCLUSION

The framework of factors for the occurrence of network public opinion is proposed, and the development process of network public opinion under COVID-19 is sorted out, which is of great theoretical value in guiding the public in the epidemic area to form reasonable behavior.

摘要

目的

获取公众舆论反应的影响因素,并构建疫区网络舆情发生的基本框架。

方法

采用定性分析、扎根理论和“物理-事理-人理”(WSR)方法作为辅助方法,对上海疫情期间微博上的热门新闻评论进行收集和分析。

结果

(1)获得了物理系统、事理系统和人理系统三个核心范畴、15 个主范畴和 86 个影响网络舆论发展的范畴。(2)建立了网络舆情的 WSR 要素框架(WSR-EFONPO)。(3)对 WSR-EFONPO 进行了解释。

结论

提出了网络舆情发生的因素框架,并梳理了 COVID-19 下网络舆情的发展过程,对指导疫区公众形成合理行为具有重要的理论价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/782d/9880161/4c1a4808717e/fpubh-10-1104031-g0001.jpg

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