Browsing by Subject "Deception detection"

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    Exploring verbal cues to deception: testing quantitative linguistic methods on English and Spanish
    (Peter Lang, 2023) Almela, Ángela; Filología Inglesa; Facultades de la UMU::Facultad de Letras
    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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    Seeing through deception: a computational approach to deceit detection in written communication
    (Association for Computational Linguistics, 2012) Almela, Ángela; Valencia García, Rafael; Cantos Gómez, Pascual; Filología Inglesa; Informática y Sistemas
    The present paper addresses the question of the nature of deception language. Specifically, the main aim of this piece of research is the exploration of deceit in Spanish written communication. We have designed an automatic classifier based on Support Vector Machines (SVM) for the identification of deception in an ad hoc opinion corpus. In order to test the effectiveness of the LIWC2001 categories in Spanish, we have drawn a comparison with a Bag-of-Words (BoW) model. The results indicate that the classification of the texts is more successful by means of our initial set of variables than with the latter system. These findings are potentially applicable to areas such as forensic linguistics and opinion mining, where extensive research on languages other than English isneeded.