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国家 COVID-19 信息的语言:积极和消极情绪与健康结果的关联。

The language of states' COVID-19 messages: Correlates of positive and negative emotion and health outcomes.

机构信息

Department of Public Health, William Paterson University, Wayne, NJ, USA.

Department of Psychology, William Paterson University, Wayne, NJ, USA.

出版信息

J Prev Interv Community. 2021 Apr-Jun;49(2):119-126. doi: 10.1080/10852352.2021.1908203. Epub 2021 Apr 10.

DOI:10.1080/10852352.2021.1908203
PMID:33843499
Abstract

Crisis communication is most effective when it takes into consideration the emotional reactions of those involved. Messages pertaining to pandemic illness such as COVID-19 should thus include the most effective types of words, given the goal of crisis management. This study investigated hypothesized word categories (e.g., reward/risk, focus on present versus past) related to superordinate categories of positive and negative emotional tone in COVID-19 fact sheets from each of the fifty states in the U.S. The relation of six word types to the superordinate categories and a health outcome variable (the rate of deaths per positive virus cases) was also tested. Results indicated that each of the six word types mapped on to either the positive or negative emotion word category. Furthermore, messages that included more reward and uncertainty words were associated with lower deaths per positive virus cases. Implications for future pandemic crisis messages are discussed.

摘要

当考虑到相关人员的情绪反应时,危机沟通最为有效。因此,鉴于危机管理的目标,与大流行疾病(如 COVID-19)相关的信息应包含最有效的词语类型。本研究调查了假设的词类(例如,奖励/风险,关注现在与过去)与美国五十个州的 COVID-19 情况说明书中的情绪语调的上位类别之间的关系。还测试了六种词类与上位类别和健康结果变量(每例阳性病毒病例的死亡人数)之间的关系。结果表明,六种词类中的每一种都映射到积极或消极的情绪词类。此外,包含更多奖励和不确定性词语的信息与每例阳性病毒病例的死亡人数较低有关。讨论了对未来大流行危机信息的启示。

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