In this 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. After the automated text analysis, statistical classifiers are used to determine the best protocol for computational classification of true and false statements.
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.