Acceptable bias? Using corpus linguistics methods with critical discourse analysis
Acceptable bias? Using corpus linguistics methods with critical discourse analysis
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DOI：
10.1080/17405904.2012.688297
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发表时间：
2012-01-01
影响因子：
1.5
通讯作者：
Baker, Paul
中科院分区：
文献类型：
--
作者：
Baker, Paul
本文认为语料库语言学方法可以提高批评性话语分析研究的客观性，从而得到更可靠、更有效的研究结果。以最近的一个研究伊斯兰教和穆斯林在英国媒体中的代表性的项目为例，语料库驱动的程序发现，穆斯林倾向于与极端信仰的概念联系在一起，而不是温和或强烈的信仰。报纸之间存在差异，八分之一的穆斯林在《人民报》中将其描述为极端，而《卫报》的这一数字为三十五分之一。然而，这种量化模式仍然需要研究人员对什么是可接受的频率进行自己的批判性解释。
This paper considers the proposal that corpus linguistics approaches can improve the objectivity of critical discourse analysis research, resulting in a more robust and valid set of findings. Taking a recent project which examined the representation of Islam and Muslims in the British press, corpus-driven procedures identified that Muslims tended to be linked to the concept of extreme belief much more than moderate or strong belief. There were differences across newspapers, with 1 in 8 Muslims describing it as extreme in The People while this figure was 1 in 35 for The Guardian. Such patterns of quantification, however, still require researchers to carry out their own critical interpretations with regard to what counts as acceptable frequencies.