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How to identify moral language in presidential speeches: A comparison between a social-psychological and a cognitive-linguistic approach to corpus analysis
Corpus Linguistics and Linguistic Theory ( IF 1.0 ) Pub Date : 2019-10-25 , DOI: 10.1515/cllt-2016-0007
Kiki Y. Renardel de Lavalette , Gerard Steen , Christian Burgers

Abstract Lakoff (2002 [1996], Moral politics. How liberals and conservative think. Chicago: The University of Chicago Press) presents the Theory of Moral Politics (TMR), as based in the roles of metaphor in moral thinking in American Politics. Two distinct methods of data analysis, one social-psychological and one cognitive-linguistic, have been employed to empirically test Lakoff’s assertions on moral reasoning, but have yielded different results. We applied both methods to the same corpus of speeches to determine whether they would yield similar results and could thus be considered to be equally appropriate ways of testing the presence of moral language. We show that the method affects what sort of conclusion can be drawn from research. Consequently, when testing TMR, we recommend that the corpus-linguistic method used is critically evaluated.

中文翻译:

如何在总统演说中识别道德语言:语料库分析的社会心理学方法与认知语言方法之间的比较

摘要Lakoff(2002 [1996],《道德政治》,自由主义者和保守主义者的看法。芝加哥:芝加哥大学出版社)提出了道德政治理论(TMR),该理论基于隐喻在美国政治道德思维中的作用。两种不同的数据分析方法,一种是社会心理学方法,另一种是认知语言学方法,已经被用来对拉科夫关于道德推理的主张进行经验检验,但得出了不同的结果。我们将这两种方法应用于相同的语音语料库,以确定它们是否会产生相似的结果,因此可以被认为是测试道德语言存在的同等适当的方法。我们表明该方法影响可以从研究中得出什么样的结论。因此,在测试TMR时,我们建议对使用的语料库语言方法进行严格评估。
更新日期:2019-10-25
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