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Corpus Linguistic Approaches to Deception Detection

Mathew Gillings author

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:24th Jun '24

£135.00

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Corpus Linguistic Approaches to Deception Detection cover

Corpus Linguistic Approaches to Deception Detection provides an innovative introduction to the use of the corpus linguistics methodology in the field of deception detection.

Bringing together research from both forensic psychology and linguistics, this book uses traditional corpus-assisted methods to reconcile the different approaches used by these two fields and shows how “cues to deception” operate in their linguistic context. Arguing that current methods of analysis do not seem to be fit for purpose, this book shows the need for further development of context-sensitive methods to explore deceptive datasets.

This book will be of interest to scholars and postgraduate students in the fields of corpus linguistics, psychology, discourse analysis, and forensic linguistics.

Corpus Linguistic Approaches to Deception Detection offers a groundbreaking fusion of linguistic analysis and psychological insights. Employing innovative corpus-assisted techniques, the book critically examines deceptive language and brings a refreshing perspective to deception studies. It will prove invaluable for scholars in both linguistics and psychology and sets a new standard in the interdisciplinary exploration of deception detection.”

Willem B. Hollmann,Lancaster University, UK

"This book is recommended reading for anyone, lay person and professional, interested the language of deception. Engaging and readable, Corpus Linguistic Approaches to Deception Detection brings to the heavily cognitive-based deception analysis a much-needed linguistic perspective, one that is grounded in linguistic theory and applying ecologically-valid analytical techniques from the linguist’s toolkit. More importantly, it highlights the complexity of deception construction within language and the part social background plays in it. "

Isabel Picornell, QED Limited, UK

ISBN: 9781032054520

Dimensions: unknown

Weight: 453g

194 pages