PLOS ONE RESEARCH ARTICLE Invisible or high-risk: Computer-assisted discourse analysis of references to Aboriginal and Torres Strait Islander people(s) and issues in a newspaper corpus about diabetes Monika BednarekID* Department of Linguistics and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia a1111111111 a1111111111 *
[email protected] a1111111111 a1111111111 a1111111111 Abstract This article employs computer-assisted methods to analyse references to Aboriginal and Torres Strait Islander people(s) and issues in a newspaper corpus about diabetes. The OPEN ACCESS objectives are to identify both the frequency and quality of social representation. The dataset consisted of 694 items from 12 Australian newspapers in a five-year period (2013±2017). Citation: Bednarek M (2020) Invisible or high-risk: Computer-assisted discourse analysis of The quantitative analysis focused on frequency (raw/normalised) and range (number/per- references to Aboriginal and Torres Strait Islander centage of texts). The qualitative analysis focused on the identification of semantic prosody people(s) and issues in a newspaper corpus about (co-occurrence with negative/positive words and phrases) and on selective social actor diabetes. PLoS ONE 15(6): e0234486. https://doi. analysis. The qualitative analysis also compared choices made by the press to language org/10.1371/journal.pone.0234486 practices recommended in relevant reporting guidelines. Key results include that references Editor: Stefan Th. Gries, University of California