Lying takes time : a meta-analysis on reaction time measures of deception [PDF]
Journal of Forensic Psychology Practice, 2017 Lie detection techniques are frequently used, but most of them have been criticized for the lack of empirical support for their predictive validity and presumed underlying mechanisms.
Ben-Shakhar, Gershon +4 more
core +13 more sources
You can’t kid a kidder: Association between production and detection of deception in an interactive deception task [PDF]
Frontiers in Human Neuroscience, 2012 Both the ability to deceive others, and the ability to detect deception, have long been proposed to confer an evolutionary advantage. Deception detection has been studied extensively, and the finding that typical individuals fare little better than ...
Gordon R.T. Wright +2 more
doaj +7 more sources
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning [PDF]
arXiv, 2023 Deception detection in conversations is a challenging yet important task, having pivotal applications in many fields such as credibility assessment in business, multimedia anti-frauds, and custom security.
Guo, Xiaobao +5 more
core +4 more sources
Online Deception Detection Refueled by Real World Data Collection [PDF]
arXiv, 2017 The lack of large realistic datasets presents a bottleneck in online deception detection studies. In this paper, we apply a data collection method based on social network analysis to quickly identify high-quality deceptive and truthful online reviews ...
Caverlee, James +3 more
core +4 more sources
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 We present a system for covert automated deception detection in real-life courtroom trial videos. We study the importance of different modalities like vision, audio and text for this task.
Davis, Larry S. +3 more
core +5 more sources
Deception detection with machine learning: A systematic review and statistical analysis. [PDF]
PLoS One, 2023 Several studies applying Machine Learning to deception detection have been published in the last decade. A rich and complex set of settings, approaches, theories, and results is now available.
Constâncio AS +4 more
europepmc +2 more sources
IEEE Access, 2022 Over a few decades, a remarkable amount of research has been conducted in the field of speech signal processing particularly on deception detection for security applications.
Sinead V. Fernandes, Muhammad Sana Ullah
doaj +2 more sources
A Domain-Independent Holistic Approach to Deception Detection [PDF]
Recent Advances in Natural Language Processing, 2021 The deception in the text can be of different forms in different domains, including fake news, rumor tweets, and spam emails. Irrespective of the domain, the main intent of the deceptive text is to deceit the reader. Although domain-specific deception detection exists, domain-independent deception detection can provide a holistic picture, which can be ...
Sadat Shahriar +2 more
arxiv +3 more sources
A Semi-Supervised Speech Deception Detection Algorithm Combining Acoustic Statistical Features and Time-Frequency Two-Dimensional Features [PDF]
Brain Sciences, 2023 Human lying is influenced by cognitive neural mechanisms in the brain, and conducting research on lie detection in speech can help to reveal the cognitive mechanisms of the human brain.
Hongliang Fu +4 more
doaj +2 more sources
Multimodal machine learning for deception detection using behavioral and physiological data [PDF]
Scientific ReportsDeception detection is crucial in domains like national security, privacy, judiciary, and courtroom trials. Differentiating truth from lies is inherently challenging due to many complex, diversified behavioural, physiological and cognitive aspects ...
Gargi Joshi +17 more
doaj +2 more sources