新型冠状病毒肺炎暴发下不同地区公众心理健康状况评价

Xiaolan Wu, Chengzhi Zhang, Ningning Song, Weiwei Zhang, Yaya Bian
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引用次数: 2

摘要

在新型冠状病毒肺炎疫情暴发期间,湖北省确诊病例和死亡人数急剧增加,且湖北地区的情况比非湖北地区更为严重,因此我们对湖北和非湖北地区公众心理健康状况评估进行了研究。本文采用简体中文微博字数统计(SCMBWC)、五因素模型(FFM)、语义角色标注(SRL)等文本分析和语境分析方法,对基于媒体新闻的公众感知和心理人格进行解读和分析。通过分析发现,公众对新型冠状病毒肺炎的认知存在较大差异。在湖北地区,公众的感知主要体现在对患者的整体预防和治疗上,而在非湖北地区,公众的感知主要体现在有序推动企业复工。通过背景分析,新型冠状病毒肺炎对不同地区公众的心理影响很大。媒体覆盖了大量的社会过程词和认知过程词,公众在不同领域表现出“开放”和“神经质”的倾向。进而,通过基于语义角色标注的情感实体挖掘,找出各种谣言、野生动物交易、各种扰乱社会秩序的违法犯罪行为等导致这种心理人格形成的原因。这有利于政府因地制宜地制定更好的政策和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Psychological Health Status Evaluation of the Public in Different Areas Under the Outbreak of Novel Coronavirus Pneumonia
During the outbreak of novel coronavirus pneumonia, the number of confirmed cases and deaths in Hubei province of China increased sharply, and the situation in Hubei was more severe than that in non-Hubei, so we do a research on psychological health status evaluation of the public in Hubei and non-Hubei areas. In this paper, we adopt textual analysis and contextual analysis using Simplified Chinese Microblog Word Count (SCMBWC), Five-Factors Model (FFM), Semantic Role Labeling (SRL) to interpret and analyze the public perception and psychological personality based on media news. Through the analysis, it was found that there were great differences in public perception to novel coronavirus pneumonia. In Hubei areas, the public perception was mainly reflected in the overall prevention and the treatment of patients, while in non-Hubei areas, the perception was mainly in the orderly promotion of enterprises to return to work. Through contextual analysis, the novel coronavirus pneumonia had a great psychological impact on the public in different regions. The media covered a large number of social process words and cognitive process words, public showed a personality that was inclined to be “open” and “neurotic” in different areas. Furthermore, we find out some reasons like all kinds of rumors, wildlife trade, all kinds of illegal and criminal acts disturbing social order cause this psychology personality through emotional entity mining based on semantic role labeling. This is conducive to the government’s better policies and management in line with local conditions.
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