A discourse dynamics exploration of attitudinal responses towards COVID-19 in academia and media

This study analyzes attitudinal positioning in academic and media discourse pertaining to COVID-19 from the COVID-19 Corpus and Coronavirus Corpus, using a discourse dynamics approach. Underpinning this approach is the Complex Dynamic Systems Theory (CDST), which we employ to examine the discursive practices of a discourse event across time periods (timescales). The analysis identified significant differences in attitudinal markers and noteworthy developmental patterns in attitude positioning; the developmental trajectories of attitude construction were characterized by a nonlinear developmental pattern subject to fluctuations and variability. We also discerned the existence of dynamic interaction between the uses of attitudinal markers and the reported cases of COVID-19. Methodologically, we demonstrate how the integration of the discourse dynamics approach with corpus linguistics strengthens the social contextualization of data by enabling the identification of developmental patterns of targeted language features over time, and the interconnections of these language features with contextually important social factors.

Stance nouns in COVID-19 related blog posts

Research dissemination through academic blogs creates opportunities for writers to reach wider audiences. With COVID-19, public dissemination of research impacts daily practices, and national and international policies, and in countries like the UK and Spain, The Conversation publishes accessible COVID-19 themed research. Such academic blogs are important to the global academy, yet the role of authorial stance therein is notably under-investigated. This paper presents a corpus-based contrastive analysis of “stance nouns + that/de que” in a comparable corpus of English and Spanish COVID-19 themed academic blogs from The Conversation. The analysis identifies similarities and differences across languages that reflect how COVID-19 is framed in each language. For example, Spanish academics use Possibility and Factualness nouns when self-sourcing their stances with expanding strategies, while English academics use Argument and Idea nouns with external sources in contracting strategies. Overall, this paper adds to current linguistic knowledge on academic blogs and scientific communication surrounding COVID-19.

Communicating the unknown

This paper presents an annotation approach to examine uncertainty in British and German newspaper articles on the coronavirus pandemic. We develop a tagset in an interdisciplinary team from corpus linguistics and sociology. After working out a gold standard on a pilot corpus, we apply the annotation to the entire corpus drawing on an “annotation-by-query” approach in CQPWeb, based on uncertainty constructions that have been extracted from the gold standard data. The annotated data are then evaluated and sociologically contextualised. On this basis, we study the development of uncertainty markers in the period under study and compare media discourses in Germany and the UK. Our findings reflect the different courses of the pandemic in Germany and the UK as well as the different political responses, media traditions and cultural concerns: While markers of fear are more important in British discourse, we see a steadily increasing level of disagreement in German discourse. Other forms of uncertainty such as ‘possibility’ or ‘probability’ are similarly frequent in both discourses.

A diachronic corpus-driven study of the expression of possibility in Luganda (Bantu, JE15)

This article employs a 4-million-word diachronic corpus to examine how the expression of possibility has evolved in Luganda since the 1890s to the present, by focusing on the language’s three main potential markers -yînz-, -sóból- and -andi-, and their historical interaction. It is shown that while the auxiliary -yînz- originally covered the whole modal subdomain of possibility, the auxiliary -sóból- has steadily taken over the more objective categories of dynamic possibility. Currently, -yînz- first and foremost conveys deontic and epistemic possibility. It still prevails in these more subjective modal categories even though the prefix -andi-, a conditional marker in origin, has started to express epistemic possibility since the 1940s, and -sóból- deontic possibility since the 1970s. More generally, this article demonstrates the potential of corpus linguistics for the study of diachronic semantics beyond language comparison. This is an important achievement in Bantu linguistics, where written language data tend to be young.

Productivity of French and Dutch (semi-)copular constructions and the adverse impact of high token frequency

This paper examines the productivity of the subject complement slot in a set of French and Dutch (semi-)copular micro-constructions. The presumed counterpart of productivity, conventionalization in the form of high token frequency, will also be taken into account in the analysis of the productivity complex. On the one hand, it will be shown that prototypical copulas generally have a higher productivity than semi-copulas, although there are some semi-copulas that can rival the productivity of prototypical copulas. On the other hand, it will be demonstrated that high token frequency is in general detrimental to productivity, on the level of the entire subject complement slot and on the level of the different semantic classes. However, the shape of the frequency distribution also seems to play a role: multiple highly frequent types are in my data more detrimental to productivity than one extremely frequent type, although the semantic connectedness of the types in the distribution might also be an explanatory factor.

Problematising characteristicness

Keyness is a commonly used method in corpus linguistics and is assumed to identify key items that are characteristic of 1 corpus when compared to another. This paper puts this assumption to the test by comparing case study corpora in the fields of genetic, immunological and psychiatric biomedical association studies, using what we refer to as a ‘K-FLUX’ analysis to produce a set of key items. Experts from within these fields are asked to evaluate the extent to which identified key items are characteristic of their discipline. The paper concludes that less than 50% of the items identified by the method are rated as highly characteristic by experts and that this ranges between types of association study. Further, there is difficulty in reaching a consensus over what is deemed to be ‘characteristic’, thus posing a challenge to the ultimate aim of the keyness method. The paper demonstrates the value of supporting corpus linguistic studies with expert assessments to evaluate whether (and which) items can be said to be indicative of a particular field.