Multimodal Approaches to Media Discourses brings together contributions from an interdisciplinary group of scholars on corpus-assisted analyses of multimodal data on austerity discourses in the United Kingdom, which extend and expand on the understanding of austerity but also of the methodologies used to analyse multimodal corpora. The volume demonstrates how the austerity measures introduced in response to global economic and financial crises in recent years can be viewed as being more complexly layered than they appear, not simply reduced to their connections to spending cuts and fiscal debt. The book employs an innovative methodological approach, in which established and emerging scholars from linguistics and computational and social sciences critically reflect on the exact same set of data - multimodal texts and articles from The Guardian and The Daily Telegraph from 2010 to 2016. This framework allows for the exploration of the role of the media in mediating the public's assessment of austerity and the ideas, actors, emotions, geographies and broader material context which contribute to such perceptions. In so doing, the volume also offers unique insights into systematic analyses to multimodal data which may be applied to other topics and connected with other disciplines. Enhancing our awareness and assessment of austerity in public discourse and of the methodologies to study it, this book is key reading for students and researchers in discourse analysis, corpus linguistics, multimodality, and those working at the intersection of these fields.

Multimodal Approaches to Media Discourses brings together contributions from an interdisciplinary group of scholars on corpus-assisted analyses of multimodal data on austerity discourses in the United Kingdom, which extend and expand on the understanding of austerity but also of the methodologies used to analyse multimodal corpora. The volume demonstrates how the austerity measures introduced in response to global economic and financial crises in recent years can be viewed as being more complexly layered than they appear, not simply reduced to their connections to spending cuts and fiscal debt. The book employs an innovative methodological approach, in which established and emerging scholars from linguistics and computational and social sciences critically reflect on the exact same set of data - multimodal texts and articles from The Guardian and The Daily Telegraph from 2010 to 2016. This framework allows for the exploration of the role of the media in mediating the public's assessment of austerity and the ideas, actors, emotions, geographies and broader material context which contribute to such perceptions. In so doing, the volume also offers unique insights into systematic analyses to multimodal data which may be applied to other topics and connected with other disciplines. Enhancing our awareness and assessment of austerity in public discourse and of the methodologies to study it, this book is key reading for students and researchers in discourse analysis, corpus linguistics, multimodality, and those working at the intersection of these fields.

This book presents a richly illustrated, hands-on discussion of one of the fastest growing fields in linguistics today. The authors address key methodological issues in corpus linguistics, such as collocations, keywords and the categorization of concordance lines. They show how these topics can be explored step-by-step with BNCweb, a user-friendly web-based tool that supports sophisticated analyses of the 100-million-word British National Corpus. Indeed, the BNC and BNCweb have been described by Geoffrey Leech as «an un-paralleled combination of facilities for finding out about the English language of the present day (Foreword). The book contains tasks and exercises, and is suitable for undergraduates, postgraduates and experienced corpus users alike.