Files
Abstract
This work analyzes public health communication in three different contexts and time periods in English corpora, to address several gaps in the literature by considering health and scientific communication in English across diverse time spans and text types. These datasets include the Royal Society Corpus (Fischer et al. 2020), a corpus of US and UK press on e-cigarettes, and a corpus of CDC, WHO, and NHS Tweets during 2020. Each of these studies present clear findings displaying changes in patterns and communication on notable and important topics in health and science. This work also demonstrates the utility of multiple methods, incorporating R and Python programming for the development, compilation, and analysis of the data and highlights the relevance and importance of corpus linguistics for ongoing concerns, including public health issues.