推特语言样本反映了四个国家在疫情期间政治领导人发表言论后的集体情绪反应

Q2 Arts and Humanities
Olenka Dworakowski, Ryan L. Boyd, Tabea Meier, Peter Kuppens, M. Mehl, Fridtjof W. Nussbeck, A. Horn
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引用次数: 0

摘要

在2019冠状病毒病大流行期间,全球公众一直依靠他们的政治领导人来引导他们度过危机。目前的研究调查了政治领导人的言辞是否以及如何与集体情绪反应相关联。我们使用文本分析方法来调查政治领导人言论与Twitter上表达的日常情绪总量之间的关系。我们收集了来自美国、英国、德国和瑞士的有关新冠肺炎的帖子和最高行政权力的所有讲话。我们应用交叉滞后时间序列分析。政治领导人在Twitter上的沟通更具分析性和群众性,他们在Twitter上的积极性也更高。而在分析性和消极性更强的演讲之后,集体的注意力会增加。政治领导人和公众之间的社会情感动态过程是显而易见的。我们的研究结果表明,有能力提出公共危机并具有社区意识的政治领导人在Twitter上得到了更积极的回应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Twitter language samples reflect collective emotional responses following political leaders’ rhetoric during the pandemic across four countries
Abstract During the Covid-19 pandemic, the global public has relied on their political leaders to guide them through the crisis. The current study investigated if and how political leader’s rhetoric would be associated with collective emotional responses. We used text analytical methods to investigate association between political leader speech and daily aggregates of expressed emotions on Twitter. We collected posts concerning Covid-19 and all speeches by the highest executive power from the USA, UK, Germany, and Switzerland. We applied cross-lagged time series analyses. Political leaders whose communication was more analytic and communal corresponded to increased positivity on Twitter. Collective communal focus, in turn, increased after speeches which were more analytic and negative. Processes of socio-affective dynamics between political leaders and the general public are apparent. Our findings demonstrate that political leaders who present public crises competently and with a sense of community are associated with more positive responses on Twitter.
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来源期刊
Psychology of Language and Communication
Psychology of Language and Communication Arts and Humanities-Language and Linguistics
CiteScore
0.80
自引率
0.00%
发文量
11
审稿时长
14 weeks
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