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通过中国微博帖子捕捉2019冠状病毒病疫情期间心理状态轨迹并分析网络公众反应

Capturing the Trajectory of Psychological Status and Analyzing Online Public Reactions During the Coronavirus Disease 2019 Pandemic Through Weibo Posts in China.

作者信息

Chiang Yi-Chen, Chu Meijie, Lin Shengnan, Cai Xinlan, Chen Qing, Wang Hongshuai, Li An, Rui Jia, Zhang Xiaoke, Xie Fang, Lee Chun-Yang, Chen Tianmu

机构信息

State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.

Nanjing Terlton Information Technology Co. Ltd., Nanjing, China.

出版信息

Front Psychol. 2021 Sep 29;12:744691. doi: 10.3389/fpsyg.2021.744691. eCollection 2021.

DOI:10.3389/fpsyg.2021.744691
PMID:34659064
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8511417/
Abstract

When a major, sudden infectious disease occurs, people tend to react emotionally and display reactions such as tension, anxiety, fear, depression, and somatization symptoms. Social media played a substantial awareness role in developing countries during the outbreak of coronavirus disease 2019 (COVID-19). This study aimed to analyze public opinion regarding COVID-19 and to explore the trajectory of psychological status and online public reactions to the COVID-19 pandemic by examining online content from Weibo in China. This study consisted of three steps: first, Weibo posts created during the pandemic were collected and preprocessed on a large scale; second, public sentiment orientation was classified as "optimistic/pessimistic/neutral" orientation natural language processing and manual determination procedures; and third, qualitative and quantitative analyses were conducted to reveal the trajectory of public psychological status and online public reactions during the COVID-19 pandemic. Public psychological status differed in different periods of the pandemic (from December 2019 to May 2020). The newly confirmed cases had an almost 1-month lagged effect on public psychological status. Among the 15 events with high impact indexes or related to government decisions, there were 10 optimism orientation > pessimism orientation (OP) events (2/3) and 5 pessimism orientation > optimism orientation (PO) events (1/3). Among the top two OP events, the high-frequency words were "race against time" and "support," while in the top two PO events, the high-frequency words were "irrationally purchase" and "pass away." We proposed a hypothesis that people developed negative self-perception when they received PO events, but their cognition was developed by how these external stimuli were processed and evaluated. These results offer implications for public health policymakers on understanding public psychological status from social media. This study demonstrates the benefits of promoting psychological healthcare and hygiene activity in the early period and improving risk perception for the public based on public opinion and the coping abilities of people. Health managers should focus on disseminating socially oriented strategies to improve the policy literacy of Internet users, thereby facilitating the disease prevention work for the COVID-19 pandemic and other major public events.

摘要

当一种重大的突发性传染病发生时,人们往往会产生情绪反应,并表现出紧张、焦虑、恐惧、抑郁和躯体化症状等反应。在2019年冠状病毒病(COVID-19)疫情爆发期间,社交媒体在发展中国家发挥了重要的宣传作用。本研究旨在分析公众对COVID-19的看法,并通过研究中国微博上的在线内容,探索心理状态的轨迹以及公众对COVID-19大流行的在线反应。本研究包括三个步骤:首先,大规模收集和预处理疫情期间创建的微博帖子;其次,通过自然语言处理和人工判定程序,将公众情绪取向分为“乐观/悲观/中性”取向;第三,进行定性和定量分析,以揭示COVID-19大流行期间公众心理状态和在线公众反应的轨迹。在疫情的不同时期(2019年12月至2020年5月),公众心理状态有所不同。新增确诊病例对公众心理状态有近1个月的滞后影响。在15个影响指数较高或与政府决策相关的事件中,有10个乐观取向>悲观取向(OP)事件(2/3)和5个悲观取向>乐观取向(PO)事件(1/3)。在排名前两位的OP事件中,高频词汇是“争分夺秒”和“支持”,而在排名前两位的PO事件中,高频词汇是“非理性购买”和“去世”。我们提出了一个假设,即人们在收到PO事件时会产生负面的自我认知,但他们的认知是由这些外部刺激如何被处理和评估所塑造的。这些结果为公共卫生政策制定者从社交媒体了解公众心理状态提供了启示。本研究证明了在早期促进心理保健和卫生活动以及基于公众舆论和人们的应对能力提高公众风险认知的益处。卫生管理人员应专注于传播以社会为导向的策略,以提高互联网用户的政策素养,从而促进COVID-19大流行及其他重大公共事件的疾病预防工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f34/8511417/89afa7846abf/fpsyg-12-744691-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f34/8511417/e95dce866469/fpsyg-12-744691-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f34/8511417/779be9ec65d3/fpsyg-12-744691-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f34/8511417/89afa7846abf/fpsyg-12-744691-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f34/8511417/e95dce866469/fpsyg-12-744691-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f34/8511417/779be9ec65d3/fpsyg-12-744691-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f34/8511417/89afa7846abf/fpsyg-12-744691-g0003.jpg

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