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关于农产品安全事件的公共社交媒体讨论:微博上的中国非洲猪瘟辩论

Public Social Media Discussions on Agricultural Product Safety Incidents: Chinese African Swine Fever Debate on Weibo.

作者信息

Jiang Qian, Xue Ya, Hu Yan, Li Yibin

机构信息

School of Geography and Resource Science, Neijiang Normal University, Neijiang, China.

Neijiang Center for Disease Control and Prevention, Neijiang, China.

出版信息

Front Psychol. 2022 May 20;13:903760. doi: 10.3389/fpsyg.2022.903760. eCollection 2022.

DOI:10.3389/fpsyg.2022.903760
PMID:35668976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9165425/
Abstract

Public concern over major agricultural product safety incidents, such as swine flu and avian flu, can intensify financial losses in the livestock and poultry industries. Crawler technology were applied to reviewed the Weibo social media discussions on the African Swine Fever (ASF) incident in China that was reported on 3 August 2018, and used content analysis and network analysis to specifically examine the online public opinion network dissemination characteristics of verified individual users, institutional users and ordinary users. It was found that: (1) attention paid to topics related to "epidemic," "treatment," "effect" and "prevent" decrease in turn, with the interest in "prevent" increasing significantly when human infections were possible; (2) verified individual users were most concerned about epidemic prevention and control and play a supervisory role, the greatest concern of institutional users and ordinary users were issues related to agricultural industry and agricultural products price fluctuations respectively; (3) among institutional users, media was the main opinion leader, and among non-institutional users, elites from all walks of life, especially the food safety personnel acted as opinion leaders. Based on these findings, some policy suggestions are given: determine the nature of the risk to human health of the safety incident, stabilizing prices of relevant agricultural products, and giving play to the role of information dissemination of relevant institutions.

摘要

公众对重大农产品安全事件(如猪流感和禽流感)的关注会加剧畜禽产业的经济损失。运用爬虫技术回顾了2018年8月3日报道的中国非洲猪瘟(ASF)事件的微博社交媒体讨论情况,并采用内容分析和网络分析具体考察了认证个人用户、机构用户及普通用户的网络舆情传播特征。研究发现:(1)对“疫情”“治疗”“影响”“预防”相关话题的关注度依次递减,在可能出现人感染情况时对“预防”话题的兴趣显著增加;(2)认证个人用户最关注疫情防控并发挥监督作用,机构用户和普通用户最关注的分别是农业产业相关问题和农产品价格波动问题;(3)在机构用户中媒体是主要意见领袖,在非机构用户中各界精英尤其是食品安全人员充当意见领袖。基于这些研究结果,给出了一些政策建议:确定安全事件对人类健康的风险性质;稳定相关农产品价格;发挥相关机构的信息传播作用。

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本文引用的文献

1
Characteristics of the major structural proteins of African swine fever virus: Role as antigens in the induction of neutralizing antibodies. A review.非洲猪瘟病毒主要结构蛋白的特性:作为诱导中和抗体的抗原的作用。综述
Virology. 2022 Jun;571:46-51. doi: 10.1016/j.virol.2022.04.001. Epub 2022 Apr 28.
2
Exploring Public Response to COVID-19 on Weibo with LDA Topic Modeling and Sentiment Analysis.运用LDA主题建模和情感分析探索微博上公众对新冠疫情的反应。
Data Inf Manag. 2021 Jan 1;5(1):86-99. doi: 10.2478/dim-2020-0023. Epub 2022 Mar 31.
3
The impact of the epidemic experience on the recovery of production of pig farmers after the outbreak-Evidence from the impact of African swine fever (ASF) in Chinese pig farming.
探究中国民众对直播健身的态度:对中国社交媒体微博的情绪和内容分析。
Front Public Health. 2022 Nov 3;10:1027694. doi: 10.3389/fpubh.2022.1027694. eCollection 2022.
疫情经历对生猪养殖户疫情后复产的影响——来自非洲猪瘟(ASF)对中国生猪养殖冲击的证据。
Prev Vet Med. 2022 Feb;199:105568. doi: 10.1016/j.prevetmed.2022.105568. Epub 2022 Jan 5.
4
Spatial evolution patterns of public panic on Chinese social networks amidst the COVID-19 pandemic.新冠疫情期间中国社交网络上公众恐慌情绪的空间演变模式
Int J Disaster Risk Reduct. 2022 Feb 15;70:102762. doi: 10.1016/j.ijdrr.2021.102762. Epub 2022 Jan 3.
5
Modeling and simulation of microblog-based public health emergency-associated public opinion communication.基于微博的突发公共卫生事件相关舆情传播建模与仿真
Inf Process Manag. 2022 Mar;59(2):102846. doi: 10.1016/j.ipm.2021.102846. Epub 2021 Dec 16.
6
African swine fever virus cysteine protease pS273R inhibits pyroptosis by noncanonically cleaving gasdermin D.非洲猪瘟病毒半胱氨酸蛋白酶 pS273R 通过非典型方式切割 gasdermin D 抑制细胞焦亡。
J Biol Chem. 2022 Jan;298(1):101480. doi: 10.1016/j.jbc.2021.101480. Epub 2021 Dec 8.
7
COVID-19 Vaccine Hesitancy in Canada: Content Analysis of Tweets Using the Theoretical Domains Framework.加拿大对 COVID-19 疫苗的犹豫:使用理论领域框架对推文的内容分析。
J Med Internet Res. 2021 Apr 13;23(4):e26874. doi: 10.2196/26874.
8
Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study.人工智能分析英美两国民众在脸书和推特上对 COVID-19 疫苗的态度:观察性研究。
J Med Internet Res. 2021 Apr 5;23(4):e26627. doi: 10.2196/26627.
9
Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis.追踪北美地区推特上的 COVID-19 相关言论:使用主题建模和基于方面的情感分析的信息流行病学研究。
J Med Internet Res. 2021 Feb 10;23(2):e25431. doi: 10.2196/25431.
10
Outlier knowledge management for extreme public health events: Understanding public opinions about COVID-19 based on microblog data.极端公共卫生事件的异常值知识管理:基于微博数据理解公众对新冠肺炎的看法。
Socioecon Plann Sci. 2022 Mar;80:100941. doi: 10.1016/j.seps.2020.100941. Epub 2020 Sep 8.