Corpus Linguistic Approaches to Deception Detection Routledge Applied Corpus Linguistics Series

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.

List of Illustrations

1. Introducing deception
2. The psychology-linguistics divide
3. Cues to deception
4. Building a corpus of deception
5. Laying the groundwork for analysis
6. Analysis 1: Modelling frequency data
7. Analysis 2: Corpus-assisted insights
8. Discussion and implications
9. Looking ahead
10. References
11. Appendices

Index

Mathew Gillings is an Assistant Professor at the Vienna University of Economics and Business, Austria.