Acceptable bias? Using corpus linguistics methods with critical discourse analysis
Paul Baker
Abstract
Paul Baker
Abstract
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.
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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.
Key concepts: Corpus linguistics, Critical discourse analysis, Objectivity (philosophy), Newspaper, Linguistics, Applied linguistics, Guardian, Discourse analysis