This article analyses reaction to the ideologically inspired murder of a soldier, Lee Rigby, in central London by two converts to Islam, Michael Adebowale and Michael Adebolajo. The focus of the analysis is upon the contrast between how the event was reacted to by the UK National Press and on social media. To explore this contrast, we undertook a corpus-assisted discourse analysis to look at three periods during the event: the initial attack, the verdict of the subsequent trial and the (...) sentencing of the murderers. To do this, we constructed and analysed corpora of press and Twitter coverage of the attack, the conviction of the suspects and the sentencing of them. The analysis shows that social media and the press are intertwined, with the press exerting a notable influence through social media, but social media not always being led by the press. When looking at social media reaction to such an event as this, analysts should always consider the role that the press are playing in forming that discourse. (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)