Covid信息大流行

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2021-02-25 DOI:10.1075/IJCL.20160.HYL
Ken Hyland, F. Jiang
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引用次数: 10

摘要

Covid-19是一个世纪以来最严重的全球卫生危机,给国际生物医学研究带来了新的紧迫性和紧迫性。大流行引发了生产疫苗和控制病毒的激烈竞争,造成了世界卫生组织(World Health Organization)所称的出版成果的“信息大流行”。在这种疯狂的氛围中,研究人员渴望让他们的研究得到关注。在本文中,我们探讨了这种热情是否影响了研究的修辞表达,并鼓励科学家“出售”他们的研究。我们研究了2020年前7个月发表的关于该病毒的SCI文章中被引用次数最多的文章,探讨了作者使用夸张和宣传语言来提升他们研究的各个方面。我们的研究结果显示,强调确定性、贡献、新颖性和潜力的炒作显著增加,特别是在研究方法、结果和首要地位方面。我们的研究揭示了在强烈的社会焦虑时期的科学说服。
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The Covid infodemic
Covid-19, the greatest global health crisis for a century, brought a new immediacy and urgency to international bio-medical research. The pandemic generated intense competition to produce a vaccine and contain the virus, creating what the World Health Organization referred to as an ‘infodemic’ of published output. In this frantic atmosphere, researchers were keen to get their research noticed. In this paper, we explore whether this enthusiasm influenced the rhetorical presentation of research and encouraged scientists to “sell” their studies. Examining a corpus of the most highly cited SCI articles on the virus published in the first seven months of 2020, we explore authors’ use of hyperbolic and promotional language to boost aspects of their research. Our results show a significant increase in hype to stress certainty, contribution, novelty and potential, especially regarding research methods, outcomes and primacy. Our study sheds light on scientific persuasion at a time of intense social anxiety.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
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