The role of deontic modality in the construction and mitigation of evaluation in hard news reporting

Boitshwarelo Rantsudu, Tom Bartlett
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Abstract

Abstract The aim of this paper is to investigate the role of deontic modality as a strategic means of mitigating evaluative meanings within and across texts. Evaluative meanings concern the function of language as used to express the speaker’s or writer’s subjective opinions, and such meanings have been extensively analysed through Appraisal framework. The framework has been used to account for evaluative/attitudinal meanings in texts, as well as dealing with the interaction of voices as one way through which speakers and writers can attribute evaluations to third parties in order to downplay or distance themselves from the evaluations that are expressed. Within the literature on Appraisal, however, the potential for deontic modality to mitigate subjective evaluation in texts has largely been overlooked and, thus, under-analysed. In this paper therefore, we develop a systems network for analysing the role of deontic modality and its interaction with other features as a tool for text analysis. We illustrate the distinctions in the network with examples of contrasting values from hard news stories that covered the 2011 public sector workers’ strike in Botswana and finish up with a short textual analysis to demonstrate how the consideration of deontic modality as a strategy of mitigation can not only enhance our understanding of how evaluative meanings are downplayed or overridden in texts, but also of how the distinctions between text types themselves can be blurred.
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德性模式在硬新闻报道中构建和减轻评价的作用
摘要本文的目的是探讨道义情态作为减轻文本内部和文本之间评价意义的战略手段的作用。评价性意义关注的是语言用来表达说话者或作者主观意见的功能,这种意义在评价框架下得到了广泛的分析。该框架已被用于解释文本中的评价/态度意义,以及处理声音的相互作用,通过这种方式,说话者和作者可以将评价归因于第三方,以淡化或远离所表达的评价。然而,在关于评价的文献中,道义情态减轻文本主观评价的潜力在很大程度上被忽视了,因此,分析不足。因此,在本文中,我们开发了一个系统网络来分析道义情态的作用及其与其他特征的相互作用,作为文本分析的工具。我们以2011年博茨瓦纳公共部门工人罢工的硬新闻故事中的对比价值观为例,说明了网络中的区别,并以简短的文本分析结束,以证明将道义情态作为缓解策略的考虑如何不仅可以增强我们对文本中评估意义如何被淡化或覆盖的理解,而且还可以理解文本类型本身之间的区别是如何模糊的。
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