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首页> 外文期刊>PLoS One >Anatomy into the battle of supporting or opposing reopening amid the COVID-19 pandemic on Twitter: A temporal and spatial analysis
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Anatomy into the battle of supporting or opposing reopening amid the COVID-19 pandemic on Twitter: A temporal and spatial analysis

机译:在Twitter上的Covid-19大流行中解剖到支持或反对重新开放的战斗:时间和空间分析

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摘要

Reopening amid the COVID-19 pandemic has triggered a battle on social media. The supporters perceived that the lockdown policy could damage the economy and exacerbate social inequality. By contrast, the opponents believed it was necessary to contain the spread and ensure a safe environment for recovery. Anatomy into the battle is of importance to address public concerns, beliefs, and values, thereby enabling policymakers to determine the appropriate solutions to implement reopening policy. To this end, we investigated over 1.5 million related Twitter postings from April 17 to May 30, 2020. With the aid of natural language processing (NLP) techniques and machine learning classifiers, we classified each tweet into either a “supporting” or “opposing” class and then investigated the public perception from temporal and spatial perspectives. From the temporal dimension, we found that both political and scientific news that were extensively discussed on Twitter led to the perception of opposing reopening. Further, being the first mover with full reopen adversely affected the public reaction to reopening policy, while being the follower or late mover resulted in positive responses. From the spatial dimension, the correlation and regression analyses suggest that the state-level perception was very likely to be associated with political affiliation and health value.
机译:在Covid-19大流行中重新开放引发了社交媒体的战斗。支持者认为锁值政策可能会损害经济,加剧社会不平等。相比之下,对手认为有必要遏制传播并确保安全的恢复环境。解剖到战斗是重要的,以解决公众关注,信仰和价值观,从而使政策制定者能够确定实施重新开放政策的适当解决方案。为此,我们从4月17日至5月30日调查了超过150万相关的Twitter邮寄。借助于自然语言处理(NLP)技术和机器学习分类器,我们将每个推文分类为“支持”或“反对” “课程,然后调查了颞台和空间观众的公众感知。从时间维度来看,我们发现,在Twitter上广泛讨论的政治和科学新闻导致了对反对重新开放的看法。此外,作为一个充满重新开放的第一次举递对公众反应对重新开放政策的巨大影响,同时是追随者或延迟动势导致积极的反应。从空间维度,相关性和回归分析表明,状态级感知很可能与政治联系和健康价值有关。

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