Overview

In 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.

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9783034341882

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Ángela Almela is a linguist who specializes in English and Spanish. She earned her PhD with distinction from Universidad de Murcia (Spain), where she serves as an Associate Professor from 2017. Her research interests include corpus and computational linguistics, forensic computational linguistics, and specialized translation.

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