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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 Ťan
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.
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