This article examines the discourses that are used by the British press to represent obesity in its coverage of coronavirus disease 2019 (COVID-19). Obesity is understood to be a risk factor for COVID-19, with people with obesity being more likely to die from the virus. This study adopts a corpus-based approach to Critical Discourse Studies and utilises a novel approach to keyword analysis, based on comparing analysis corpora against two reference corpora in order to yield keywords that are, in this (...) case, characteristic compared to general coverage of both COVID-19 and obesity. It is argued that the context of the pandemic has produced a range of discourses around obesity that are more stigmatising than usual in both the tabloids and the broadsheets, with people with obesity being construed, for example, in especially fatalistic terms and as being responsible for the problems facing the country’s healthcare system. At the same time, the pandemic context also seems to have given rise to some more positive changes to press coverage of obesity, with race-related health disparities receiving more focus than usual and the right-leaning press being more likely to critique the Conservative Government than it usually is, resulting in an arguably more balanced style of reporting. (shrink)

This article examines the metaphors that are used to represent dementia in British tabloid newspapers over a ten-year period (2010–2019). The analysis takes a corpus-based approach to metaphor identification and analysis, utilizing in particular the corpus linguistic technique of collocation analysis. Metaphors are considered in terms of the ‘targets’ they frame, which include the following aspects of dementia: (i.) prevalence; (ii.) causes; (iii.) symptoms and prognosis; (iv.) lived experience; and (v.) responses. A range of metaphors are identified, with the tabloids (...) exhibiting a particular preference for metaphors which construct dementia as an agentive and violent entity and people with dementia as passive victims, and which foreground preventative responses to dementia such as pharmacological intervention and individual behavior change. It is argued that such metaphors have the potential to contribute to dementia stigma and place focus on preventing or eliminating dementia while backgrounding responses which may help people to “live well” with the syndrome in the here-and-now. Metaphors which frame dementia as a companion or which the experience of dementia as a journey are put forward as potentially less stigmatizing alternatives which might better reflect the particularities of this complex public health issue. (shrink)

This article examines discourse representations of vegans in UK newspapers, comparing broadsheets with tabloids published between 2016 and 2020. Taking a corpus-based approach to CDA, we identify a series of discourses, some of which overlap between the broadsheets and tabloids while others are particular to one format or the other. Vegans tend to be evaluated negatively in this context, portrayed as violent, hypocritical, pushy and irresponsible when it comes to their (and their children’s) health. Such representations are characteristic of the (...) tabloids in particular, whereas broadsheets provide more balanced coverage, with a greater propensity to present counter-discourses and to provide page space to airing the first-hand perspectives of vegans themselves. In the paper, we make recommendations as to how coverage can achieve better balance, to the benefit of the vegan movement and – by extension – the wellbeing of humans, other animals, and the environment. (shrink)

This article explores and critically evaluates the potential contribution to discourse studies of topic modelling, a group of machine learning methods which have been used with the aim of automatically discovering thematic information in large collections of texts. We critically evaluate the utility of the thematic grouping of texts into ‘topics’ emerging from a large collection of online patient comments about the National Health Service in England. We take two approaches to this, one inspired by methods adopted in existing topic (...) modelling research and the other using more established methods of discourse analysis. In the study, we compare the insights produced by each approach and consider the extent to which the automatically generated topics might be of use to discourse analysts attempting to organise and study sizeable datasets. We found that the topic modelling approach was able to group texts into ‘topics’ that were truly thematically coherent with a mixed degree of success, while the more traditional approach to discourse analysis consistently provided a more nuanced perspective on the data which was ultimately closer to the ‘reality’ of the texts it contains. This study thus highlights issues concerning the use of topic modelling and offers recommendations and caveats to researchers employing such approaches to studying discourse in the future. (shrink)

ABSTRACTThis article examines right-leaning press representations of people living in the UK who can’t speak English, or at least speak English well, following the 2011 Census, which was the first to ask respondents about their main language and proficiency in English. The analysis takes a corpus-assisted approach to critical discourse analysis, based on a 1.8 million-word corpus of right-leaning newspaper articles about ‘speak English’ in the years following this historic Census. The analysis reveals the tendency for the press to focus (...) on immigrants – particularly in the contexts of education and health – who are represented with recourse to a series of argumentation strategies, or ‘topoi’. Over the course of this paper, we argue that these topoi are problematic, as they present paradoxes, obscure the role of the Government in ensuring integration, overlook the difficulties of language learning and cultural assimilation, and generally contribute to a broader anti-immigrant UK media narrative which serves to legitimise exclusionary and discriminatory practices against people from minority linguistic and ethnic backgrounds. (shrink)