Description
Book SynopsisIn this research monograph, two empirical studies are presented, whose aim is to explore the linguistic cues to deception in written English and Spanish using computational tools like ALIAS WISER and LIWC. The tools have been tested on ground-truth data. After the automated text analysis, statistical classifiers are used to determine the best protocol for computational classification of true and false statements, and the role of emotional involvement is analyzed in low-stakes deception. The results demonstrate that, in our corpora, there is a real difference between "laboratory-produced" lies told in an experimental setting and high-stakes lies told in a police investigation.
Table of ContentsTable of contents - abstract and keywords -list of abbreviations - Introduction - deception, its nature and its detection - contextualization and method - cross-linguistic experiment - intralingual experiment - final remarks, limitations of the study and further research
