沟通未知

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2021-08-23 DOI:10.1075/ijcl.21096.mul
Marcus Müller, Sabine Bartsch, J. Zinn
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引用次数: 6

摘要

本文提出了一种注释方法来检验英国和德国报纸关于冠状病毒大流行的文章中的不确定性。我们在语料库语言学和社会学的跨学科团队中开发了一个标签集。在对试点语料库制定出金标准后,我们根据从金标准数据中提取的不确定性结构,在CQPWeb中采用“逐查询注释”方法,将注释应用于整个语料库。然后对注释后的数据进行评估,并对其进行社会学背景分析。在此基础上,我们研究了不确定性标记在研究期间的发展,并对德国和英国的媒体话语进行了比较。我们的研究结果反映了德国和英国疫情的不同过程,以及不同的政治反应、媒体传统和文化关切:虽然恐惧标记在英国话语中更重要,我们看到德国话语中的分歧程度在稳步上升。其他形式的不确定性,如“可能性”或“概率”,在这两种话语中同样频繁。
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Communicating the unknown
This paper presents an annotation approach to examine uncertainty in British and German newspaper articles on the coronavirus pandemic. We develop a tagset in an interdisciplinary team from corpus linguistics and sociology. After working out a gold standard on a pilot corpus, we apply the annotation to the entire corpus drawing on an “annotation-by-query” approach in CQPWeb, based on uncertainty constructions that have been extracted from the gold standard data. The annotated data are then evaluated and sociologically contextualised. On this basis, we study the development of uncertainty markers in the period under study and compare media discourses in Germany and the UK. Our findings reflect the different courses of the pandemic in Germany and the UK as well as the different political responses, media traditions and cultural concerns: While markers of fear are more important in British discourse, we see a steadily increasing level of disagreement in German discourse. Other forms of uncertainty such as ‘possibility’ or ‘probability’ are similarly frequent in both discourses.
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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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