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The Polygraph and the Detection of Deception [PDF]
Journal of Forensic Psychology Practice, 2010 Over the last decade, Europe has seen a marked increase in the use of the polygraph for the detection of deception. Belgium and Finland nowadays regularly use polygraph tests in criminal investigations, and the United Kingdom and the Netherlands have adopted its use in the treatment and monitoring of sex offenders.
Meijer, Ewout H, Verschuere, Bruno
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Deception detection in Twitter [PDF]
Social Network Analysis and Mining, 2015 Online Social Networks (OSNs) play a significant role in the daily life of hundreds of millions of people. However, many user profiles in OSNs contain deceptive information. Existing studies have shown that lying in OSNs is quite widespread, often for protecting a user’s privacy.
Jalal S. Alowibdi +4 more
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Online Deception Detection Refueled by RealWorld Data Collection
, 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 ...
Wenlin Yao +3 more
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Proceedings of the AAAI Conference on Artificial Intelligence, 2018 We present a system for covert automated deception detection using information available in a video. We study the importance of different modalities like vision, audio and text for this task. On the vision side, our system uses classifiers trained on low level video features which predict human micro-expressions.
Zhe Wu 0001 +3 more
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Improved semi-supervised autoencoder for deception detection. [PDF]
PLoS ONE, 2019 Existing algorithms of speech-based deception detection are severely restricted by the lack of sufficient number of labelled data. However, a large amount of easily available unlabelled data has not been utilized in reality.
Hongliang Fu +4 more
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A deception detection model by using integrated LLM with emotion features [PDF]
Scientific ReportsTraditional lie detection relies on the experience of human interrogators, making it susceptible to subjective factors and leading to misjudgments. To solve this problem, we propose an emotion-enhanced deception detection model, Lie Detection using ...
Chucheng Zhou +3 more
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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
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Emotional intelligence and mismatching expressive and verbal messages: a contribution to detection of deception. [PDF]
PLoS ONE, 2014 Processing facial emotion, especially mismatches between facial and verbal messages, is believed to be important in the detection of deception. For example, emotional leakage may accompany lying. Individuals with superior emotion perception abilities may
Jerzy Wojciechowski +2 more
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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
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SVM, BERT, or LLM? A Comparative Study on Multilingual Instructed Deception Detection [PDF]
AIThe automated detection of deceptive language is a crucial challenge in computational linguistics. This study provides a rigorous comparative analysis of three tiers of machine learning models for detecting instructed deception: traditional machine ...
Daichi Azuma +5 more
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