Suicide candy: tracing the discourse itineraries of food risk

Traditional approaches to the way people react to food risks often focus on ways in which the media distort information about risk, or on the deficiencies in people’s interpretation of this information. In this chapter Jones offers an alternative model which sees decisions regarding food risk as taking place at a complex nexus where different people, texts, objects and practices, each with their own histories, come together. Based on a case study of a food scandal involving a particular brand of Chinese candy, Jones argues that understanding why people respond the way they do to food risk requires tracing the itineraries along which different people, texts, objects and practices have traveled to converge at particular moments, and understanding the kinds of concrete social actions that these convergences make possible.

Doing well by talking good? A topic modelling-assisted discourse study of corporate social responsibility

Using the novel technique of topic modelling, this paper examines thematic patterns and their changes over time in a large corpus of corporate social responsibility (CSR) reports produced in the oil sector. Whereas previous research on corporate communications has been small-scale or interested in selected lexical aspects and thematic categories identified ex ante, our approach allows for thematic patterns to emerge from the data. The analysis reveals a number of major trends and topic shifts pointing to changing practices of CSR. Nowadays ‘people’, ‘communities’ and ‘rights’ seem to be given more prominence, whereas ‘environmental protection’ appears to be less relevant. Using more established corpus-based methods, we subsequently explore two top phrases - ‘human rights’ and ‘climate change’ that were identified as representative of the shifting thematic patterns. Our approach strikes a balance between the purely quantitative and qualitative methodologies and offers applied linguists new ways of exploring discourse in large collections of texts.