Online coverage of the COVID-19 outbreak in Anglo-American democracies: internet news coverage and pandemic politics in the USA, Canada, and New Zealand

IF 2.6 2区 社会学 Q1 COMMUNICATION
Udi Sommer, Or Rappel-Kroyzer
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引用次数: 4

Abstract

ABSTRACT We examine how internet media outlets in key Anglo-American democracies differed under a similar external shock: the outbreak of the COVID-19 pandemic in early 2020. COVID-19 posed a special challenge to democracy, juxtaposing it with alternative forms of government, which may be better positioned to deal with such a crisis. The online media, as the watchdog of democracy, played a key role. As the pandemic started to spread worldwide, three democracies – the USA, Canada, and New Zealand – were of particular interest. The USA had the highest number of cases and deaths, considerably more than its neighbor to the north. NZ was the democracy that most effectively dealt with the pandemic. We comprehensively study the coverage of the outbreak on the internet website of a newspaper of record in each. Data were harvested for the universe of 27,089 articles published online between mid-February and early May on the websites of the New York Times, New Zealand Herald, and the Globe and Mail. Natural learning processing and dependency parsing are the methods used to analyze the data. We find meaningful differences between the outlets in timing, structure, and content. Compared with their US counterpart, the online watchdogs of democracy in Canada and NZ – where COVID-19 politics were far more effective – barked louder, clearer and 2 weeks earlier.
新冠肺炎疫情在英美民主国家的在线报道:美国、加拿大和新西兰的互联网新闻报道和疫情政治
我们研究了英美主要民主国家的互联网媒体在类似的外部冲击下的差异:2020年初新冠肺炎大流行的爆发。2019冠状病毒病对民主构成了特殊挑战,并将其与其他政府形式相提并论,后者可能更有能力应对此类危机。网络媒体作为民主的监督者发挥了关键作用。随着疫情开始在全球蔓延,三个民主国家——美国、加拿大和新西兰——受到了特别关注。美国的病例和死亡人数最多,远远超过其北部邻国。新西兰是最有效应对这一流行病的民主国家。我们综合研究了各有记录的报纸网站对疫情的报道。数据收集了2月中旬至5月初在《纽约时报》、《新西兰先驱报》和《环球邮报》网站上发表的27,089篇文章。自然学习处理和依赖关系分析是用于分析数据的方法。我们发现这些媒体在时间、结构和内容上存在显著差异。与美国同行相比,加拿大和新西兰的民主网络监管机构——在这两个国家,新冠肺炎政治要有效得多——咆哮得更响亮、更清晰,也早了两周。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.60
自引率
7.70%
发文量
31
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