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政治当局和健康专家在新冠疫情期间利用社交媒体来加强公共信息传播。

The deployment of social media by political authorities and health experts to enhance public information during the COVID-19 pandemic.

作者信息

Reveilhac Maud

机构信息

Lausanne University, Faculty of Social and Political Sciences, Institute of Social Sciences, Life Course and Social Inequality Research Centre, Switzerland.

出版信息

SSM Popul Health. 2022 Sep;19:101165. doi: 10.1016/j.ssmph.2022.101165. Epub 2022 Jul 8.

Abstract

Social media have increasingly been used by political bodies and experts to disseminate health information to the public. However, we still know little about how the communication of these actors on social media is received by other users and how it reflects trends in public trust. We examined social media dynamics in the communication of information by major actors (n = 188) involved in COVID-19 online discussions in Switzerland. These actors are scientists (experts), policymakers (government officials, cantonal executives, and other parties), and representatives of mass media. We found little correlation between Twitter features (other users' engagement and negativity in other users' replies) and the level of public trust found in representative opinion surveys. We used topic modelling in combination with correspondence analysis, and including additional variables for actor types and the period of the public debate further enabled us to detect salient episodes related to the pandemic on social media. In particular, we found that differing roles were played by the (health) experts and political authorities in terms of both topics and influence on the specific timing of the pandemic. The results of this study provide helpful conclusions for communication among political authorities, health experts, and the public.

摘要

政治机构和专家越来越多地利用社交媒体向公众传播健康信息。然而,我们对这些行为者在社交媒体上的交流如何被其他用户接受以及它如何反映公众信任趋势仍然知之甚少。我们研究了瑞士参与新冠疫情在线讨论的主要行为者(n = 188)在信息传播中的社交媒体动态。这些行为者包括科学家(专家)、政策制定者(政府官员、州行政人员和其他政党)以及大众媒体代表。我们发现推特特征(其他用户的参与度以及其他用户回复中的负面性)与代表性民意调查中发现的公众信任水平之间几乎没有相关性。我们将主题建模与对应分析相结合,并纳入行为者类型和公众辩论时期的额外变量,这进一步使我们能够在社交媒体上检测与疫情相关的突出事件。特别是,我们发现(健康)专家和政治当局在疫情相关话题以及对疫情特定时间的影响方面发挥了不同的作用。这项研究的结果为政治当局、健康专家和公众之间的沟通提供了有益的结论。

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