Textual deception constitutes a major problem for online security. Many studies have argued
that deceptiveness leaves traces in writing style, which could be detected using text …

This meta-analysis investigates linguistic cues to deception and whether these cues can be
detected with computer programs. We integrated operational definitions for 79 cues from 44 …

This paper reviews the emerging computer-aided text analysis (CATA) accounting literature
through proposing a model of the corpus linguistic research production process, followed by …

Quarterly conference calls where corporate executives discuss earnings that are later found
to be misreported offer an excellent test bed for determining if automated linguistic and …

For MET to be supported, several propositions must hold true: One, deception produces
internal negative emotional experiences. Two, these internal experiences have associated …

Artificial intelligence (AI) and machine learning (ML) are transforming organizations and will
soon transform auditing. Many promising areas of AI and ML are within the continuous …

In this preregistered experiment, we address an understudied question in the deception and
language literature: What is the impact of context on false and truthful language patterns …

En este libro se presenta, en su primera parte, un abordaje narrativo respecto al concepto
del engaño y sobre cómo ha sido su estudio, caracterizado principalmente por el análisis de …

Historically, inaccurate credibility assessments have resulted in tremendous costs to
businesses and to society. Recent research offers unobtrusive credibility assessment aids …

Research on infodemics, ie, the rapid spread of (mis) information related to a hazardous
event, such as the COVID-19 pandemic, requires integrating a multiplicity of scientific …