Verbal & Behavioral Deception Detection
Research Landscape
All 100 Studies
Culture and credibility: the assessment of asylum seekers’ statements
Gabi de Bruïne, Annelies Vredeveldt,… · Psychology, Crime & Law
The review identifies systematic cultural differences in autobiographical memory style, power distance effects on reporting, acquiescence response styles, and trauma…
Deception Detection: Comparing the Lexicon-Based Approaches and Verifiability Approach
Grant P. Dunn, Iris Blandón-Gitlin,… · Criminal Justice and Behavior
Both lexicon-based (LIWC) and verifiability approaches detected deception at above chance accuracy, with no significant difference in predictive accuracy between…
Large Language Models Simulating Deception and Coalition in Social Deduction Game
Atharva Thakur ·
LLM agents demonstrated sophisticated deception strategies including agreeableness tactics and nomination mimicry to blend with truthful players, though they exhibited…
Lie Detection Using Facial Expressions and Speech Analysis
Sayali Chaskar, Rihansh Hingad, Deepika… · Lecture Notes in Networks and Systems
The multimodal integration of facial and speech analysis demonstrates superior performance compared to single-modality approaches, leveraging complementary behavioral cues including…
Zur Testfairness der aussagepsychologischen Begutachtungsmethodik: eine Bayes-statistische Analyse anhand von 2000 Gutachten
Paul K. Jäckel, David C.… · Forensische Psychiatrie, Psychologie, Kriminologie
Neither demographic-personal nor clinical-psychological characteristics of witnesses showed clear associations with assessment outcomes. Eight Bayesian regression models revealed uncertain effect…
A psycholinguistic NLP framework for forensic text analysis of deception and emotion
Jonathan Adkins, Ali Al Bataineh,… · Frontiers in Artificial Intelligence
The researchers successfully identified both guilty parties from 18 suspects using combined entity correlation, deception scoring via Empath, emotion analysis…
Cognitive Ability, Overconfidence, and Confirmation Bias in Lie Detection
Shuguang Jiang, Jiahong Li, Jialong… ·
Detection accuracy was only slightly above chance with better performance on truths than lies; females outperformed males who showed greater…
Cognitive mechanisms underlying deception detection in neurodiverse sample of autistic and non-autistic young adults
McKayla R. Kurtz, Julie A.… · Research in Autism
Increased autism symptoms uniquely predicted better deception detection accuracy in mismatched conditions (where demeanor conflicts with veracity) but not in…
Corpus Linguistics and Deception Detection
Dawn Archer · Reference Module in Social Sciences
Deceptive speakers show distinct linguistic patterns including increased word count, more sense-based words, fewer self-references, more other-references, and avoidance of…
Detecting Deception through Nonverbal Signals
Yuvika Singh · The Magic Gaze: Decoding Thoughts through Eyes and Gestures
This is not an original empirical study but an educational review chapter synthesizing existing research on nonverbal deception detection, with…
Detecting Deepfakes Through Emotion?: Facial Expression and Emotional Contagion as Dual Indicators of Deepfake Credibility
Jiyoung Lee, Kevin K. John · Applied Cognitive Psychology
Deepfakes exhibited lower overall and negative emotions compared to authentic videos. Counterintuitively, audiences' reduced emotional responses to deepfakes were associated…
Facial expression-based lie detection: A survey of micro expression analysis, datasets and challenges
Amira A. Hussein, Israa H.… · AIP Conference Proceedings
The survey finds that automated micro-expression analysis shows promise for deception detection, with machine learning methods outperforming human judgments, though…
Honesty and lie aversion
Marie Claire Villeval · Elgar Encyclopedia of Behavioural and Experimental Economics
Experimental evidence reveals substantial intrinsic lie aversion beyond detection risk, with preferences for honesty and social image as primary motivations…
Investigative Interviewing: Priming the Interview Context
Eduardo Pérez-Campos Mayoral; Mark Severino;… · European Polygraph
The paper identifies a significant gap in empirical evidence supporting priming effectiveness in real-world forensic contexts, despite its intuitive appeal…
Is there a correlation between AI use and deception in students?
Lara Warmelink ·
This is a preregistered study; no empirical findings are available yet. When conducted, it will reveal correlations between AI literacy…
Lie and its detection: assessing nonverbal behaviors in criminal investigation
Daria Berectari, Alexandru Arseni, Ion… · Bulletin of the Academy of Sciences of Moldova. Medical Sciences
The paper concludes that nonverbal lie detection methods show practical usefulness in judicial investigations but require specialized training for effective…
Model of Lie Cues Detection in Cross-Cultural Communication: Insights from Linguistic and Cultural Intersections
Reni Nur Eriyani, Fathiaty Murtadho,… · JOALL (Journal of Applied Linguistics and Literature)
Linguistic deception cues include speech uncertainty, intonation changes, and ambiguous expressions, while cultural norms like family honor (siri) in Bugis-Makassar…
Scientific Interrogation: The Strategic Use of Evidence (SUE) Technique
Eduardo Pérez-Campos Mayoral; Mark Severino;… · European Polygraph
The SUE technique represents a paradigm shift toward information-gathering approaches that optimize accuracy in credibility assessment and investigative efficiency compared…
Supplemental Material for High Confidence, Low Accuracy: Younger and Older Adults Overestimate Lie Detection Performance
· Psychology and Aging
Both younger and older adults significantly overestimated their lie detection performance around chance level. Older adults reported higher confidence in…
Text Based Lie Detection Using a Combination of BERT and CNN Models
Anny Yuniarti, Mashita Dewi, Yeni… · 2025 15th International Conference on Information & Communication Technology and System (ICTS)
The optimal configuration achieved an F1-score of 0.9154 on the Deceptive Opinion Spam Dataset using BERT Base Uncased with fully…
The (Mis)utilization of Cues During Deception Detection in 911 Homicide Calls
Patrick Markey, Erika Feeney, Brooke… · Homicide Studies
Judges incorrectly viewed calm callers as deceptive when valid cues indicated deceptive callers were actually more emotional, self-dramatizing, and worried.…
Truth in inconsistency? The potential of differential mnemonic consistency in deception detection
Ana Philippsen, Nils Brandenburg, Raoul… · Psychology, Crime & Law
Differential mnemonic consistency reliably distinguished experience-based from fabricated statements, with repetition consistency proving superior to retention consistency. Truth-tellers showed significantly…
Unmasking Deception: Examining Receivers' Emotional Responses with Automated Facial Expression Analysis in Veracity and Valence
Peter Jan Hendrik Slijkhuis, Steven… ·
Emotional mimicry was significantly lower for deceptive messages (F(1,505) = 32.64, p < .001, η²p = 0.06), with the strongest…
Well done! Or how to Avoid Dangers of Pseudoscience: Common Standard for Research in Behavioural Analysis and Deception Detection in Aviation Security
Jenny K. Krüger, María C.… · Anuario de Psicología Jurídica
The paper establishes that many aviation security behavioral detection programs lack scientific validation and provides a comprehensive methodological framework addressing…
(When) Would You Lie to a Voicebot?
Shanshan Zhang, C. Monica Capra,… · SSRN Electronic Journal
Participants were more likely to lie when hearing a feminine voice than a masculine voice, and more likely to lie…
A Mixed-Methods Analysis of Deception Detection by Neurodiverse Young Adults
Kelly L. Coburn, Gillian N.… · Topics in Language Disorders
Observable response features produced significantly more accurate deception judgments than nonverbal communication or subjective descriptions. No significant differences emerged between…
A Tutorial for Deception Detection Analysis or: How I Learned to Stop Aggregating Veracity Judgments and Embraced Signal Detection Theory Mixed Models
Mircea Zloteanu, Matti Vuorre · Journal of Nonverbal Behavior
The SDT-GLMM approach avoids data aggregations that conflate response bias with underlying sensitivity, outperforms traditional factorial methods, and provides distinct…
Automatic Detection of Verbal Deception in Romanian With Artificial Intelligence Methods
Mălina Crudu · Studia Universitatis Babeș-Bolyai Informatica
Results showed that for topic-specific datasets with a common subject, general text representations such as TF-IDF and LSA outperformed psycholinguistic…
Blue Sky: Multilingual, Multimodal Domain Independent Deception Detection
Dainis Boumber, Rakesh M. Verma,… · Proceedings of the 2024 SIAM International Conference on Data Mining (SDM)
The paper identifies that universal linguistic cues to deception in non-English languages remain unknown, low-resource language deception detection lacks sufficient…
Corpus Linguistic Approaches to Deception Detection
Mathew Gillings ·
Linguistic cues to deception are symptomatic of their operationalization, vary by speakers' sociolinguistic backgrounds, and must be analyzed in context.…
Dark personality traits and deception, and the short dark tetrad (SD4) as integrity screening instrument
Eric Rassin, Melissa de Roos,… · Scientific Reports
Liars scored significantly higher on all four dark traits, with psychopathy showing the strongest effect, but overlapping distributions made categorical…
Detecting Deception Using MCI in Twitter
Charles A Morgan · International Journal of Forensic Sciences
Computer-based linguistic analysis of MCI-derived Twitter statements achieved 79% classification accuracy in distinguishing truthful reports, denials, and false claims—substantially outperforming…
Detecting lies through others’ eyes: Children use perceptual access cues to evaluate listeners’ beliefs about informants’ deception
Cleo Tay, Ray Ng, Nina… ·
Children aged 4-7 years demonstrated sophisticated second-order reasoning about lie detection, predicting that receivers with perceptual access would detect deception…
Does (Biasing) Nonverbal Information Deteriorate the Accuracy of the Take-the-Best Heuristic for Deception Detection?
Lob, A.B., Chakir, N., Verschuere,… · Applied Cognitive Psychology
The detailedness heuristic achieved accuracy rates of 60.9-71.8% compared to 52.6-56.9% for unguided judgments (d = 0.55-0.76), but strongly biasing…
FTM: The Face Truth Machine—Hand-crafted features from micro-expressions to support lie detection
Maria De Marsico, Giordano Dionisi,… · Computer Vision and Image Understanding
FTM achieved satisfying cross-dataset transferability and can analyze facial expressions across a wide range of poses. The use of hand-crafted…
How Entangled is Factuality and Deception in German?
Aswathy Velutharambath, Amelie Wuehrl, Roman… · Findings of the Association for Computational Linguistics: EMNLP 2024
The study found zero correlation between established linguistic deception cues and actual deception in German texts when factuality and belief…
Introducing Mediated Statement Analysis (Msa): Examining Truthful or Untruthful Social Media Posts to Decode Deception Online
Christa L. Arnold, Margaret C.… ·
The research successfully developed a nine-category MSA framework that identifies distinctive textual and linguistic patterns differentiating truthful from deceptive social…
Laying the groundwork for analysis
Mathew Gillings · Corpus Linguistic Approaches to Deception Detection
The chapter establishes that linguistic cues to deception are context-dependent and symptomatic of their operationalization, that social background substantially influences…
Lie Detection and Nonverbal Behaviour: Present and Future
Aldert Vrij, Ronald P. Fisher · Body Language Communication
Meta-analyses show that of 50 nonverbal and verbal cues examined, only 28% showed significant relationships with deception, with small average…
Lie-telling Evaluation Task
Jedediah W. P. Allen, Demet… · PsycTESTS Dataset
Children show developmental sophistication in distinguishing lie types, with socio-cultural lies judged less negatively with age. Specific parental deceptive behaviors,…
Lies divorced from context: evidence for Context Embedded Perception (CEP) as a feasible measure for deception detection
Zvi Nisin, Galit Nahari, Morris… · Psychology, Crime & Law
CEP scores were significantly lower for liars than truth-tellers, with discriminant analysis achieving 92% correct identification of truth-tellers and 66%…
Masking the truth: the impact of face masks on deception detection
Daniella K. Cash, Laura A.… · The Journal of Social Psychology
Face masks did not significantly impair overall deception detection accuracy, but participants were more accurate judging negatively valenced statements when…
Multi-Modal Deception Detection Using Deep Learning
Om Uskaikar, Aditya Sonavane, Mihir… · 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)
The multimodal deep learning system achieved 94.23% overall accuracy in detecting deception from trial hearing recordings, substantially exceeding previous benchmarks…
MVis4LD: Multimodal Visual Interactive System for Lie Detection
Md. Kowsar Hossain Sakib, Md… · Lecture Notes in Computer Science
The research successfully developed a web-based multimodal interactive system that enables users to explore deception detection data through natural language,…
Neuro-Linguistic Programming as a Verbal Lie Detection Tool: A Case Study of Pakistani Digital Media Programs
Hafsa Qadir, Dr. Zafar Iqbal… · Kurdish Studies
The RoBERTa-base model achieved 75% effectiveness for neurolinguistic deception detection but successfully identified only truth statements, not lies. Lie statements…
Phylogenetic and Pantomimical Aspects of Gestures in Lie Detection .
E. Goncharenko, S. Taisaeva, S.… · Moscow Juridical Journal
The study identified two categories of deceptive gestures: adaptive gestures representing physiological self-preservation responses to threat, and resource gestures with…
Reasoning about knowledge in lie production
Zhi Yi Tan, Julian Jara-Ettinger,… ·
The computational model incorporating both shared and private knowledge reasoning successfully predicted human lying behavior better than alternative models that…
Statistical Analysis of Video Databases for Deception Detection Tasks
· Applied Mathematics & Information Sciences
The study identified significant limitations in publicly available deception detection databases and presented a novel dataset incorporating video, audio, and…
The Walk of Guilt: Multimodal Deception Detection from Nonverbal Motion Behaviour
Sharifa Alghowinem, Sabrina Caldwell, Ibrahim… · Information
Classification accuracy reached up to 88% through hybrid feature fusion, with visual signals showing highest single-modality performance followed by accelerometer…
Unmasking Lies: A Literature Review on Facial Expressions and Machine Learning for Deception Detection
Monica Sen, Rébecca Deneckère · Procedia Computer Science
Machine learning models achieve superior performance compared to human judges (AI: 72-97% accuracy vs. humans: 57%), with multimodal approaches outperforming…
Virtual Lies and Digital Truths: A Review of Research on Deception in Online Communication
Akmal Mirsadikov, Alaa Nehme, Ali… ·
The review identifies major theoretical frameworks including Interpersonal Deception Theory and Media Richness Theory as foundations for understanding online deception,…
A Context-Constrained Sentence Modeling for Deception Detection in Real Interrogation
Ya-Tse Wu, Yuan-Ting Chang, Shao-Hao… · INTERSPEECH 2023
The context-constrained model achieved 76.38% Unweighted Average Recall (UAR) at the local level and 73.15% UAR at the global level,…
A PARADIGM SHIFT IN 30 YEARS OF DECEPTION RESEARCH
VRIJ A. · AVALIAÇÃO E INTERVENÇÃO EM PSICOLOGIA FORENSE
Meta-analyses show only 28% of studied cues significantly relate to deception with small effect sizes (d = .25), verbal cues…
A simple heuristic for distinguishing lie from truth
· Nature Human Behaviour
When instructed to judge only the level of detail in statements, participants consistently discriminated lies from truths (d = 0.41-1.73,…
Altered neural mechanisms of deception in individuals with autistic traits
Wenrui Li, Bowen Huang, Youming… · Brain and Cognition
High autistic trait individuals exhibited longer reaction times, lower P3 amplitude during decision-making, and reduced FRN and P3 during feedback…
Choosing to Lie: Strategic and Pathological Deception
Philip R. Corlett, Rosa Rossi-Goldthorpe ·
Competition context produced significantly elevated deception compared to control conditions (Cohen's d > 1.0, p < 2.2e-16), with most participants…
Deception in Amber Heard and Johnny Depp’s Trials
Nahla Mahmoud Hadi, Rufaidah Kamal… · Journal of the College of Education for Women
Depp used fabrication (40%) and equivocation strategies most frequently, while Heard employed fabrication (50%) and concealment. Both parties showed equal…
Deception in the Emergency Setting
Laura W. Barnett, Eileen P.… · Emergency Psychiatry
Research shows that malingering suspicion is common in emergency psychiatry, with 20% of patients strongly suspected and one-third suspected to…
Determining psycholinguistic features of deception in phishing messages
Tianhao Xu, Prashanth Rajivan · Information & Computer Security
Words conveying certainty (e.g., always, never) and work-related features predicted higher end-user vulnerability to phishing, while achievement and reward language…
Developmental Factors in Deception and Lie Detection
Chris N. H. Street · An Introduction to the Science of Deception and Lie Detection
As a review chapter rather than an empirical study, this source synthesizes existing research findings rather than reporting novel experimental…
Exploring Verbal Cues to Deception: Testing Quantitative Linguistic Methods on English and Spanish
·
Classification accuracy reached 93% for high-stakes police deception versus 71% for laboratory lies, with LIWC psycholinguistic features achieving 84.5% F-measure…
Gestures-adapters for persons involved in the crime in non-instrumental lie detection
Elena V. Goncharenko, Sofia An.… · Vestnik of Kostroma State University
Resource pantomime was observed in 95% of subjects. During deception, adapter gestures were fixed in 40% of horizontal and vertical…
In their own words: deception detection by victims and near victims of fraud
Marianne Junger, Luka Koning, Pieter… · Frontiers in Psychology
69% of near victims (N=934) cited fraud knowledge as their primary detection strategy, while 27.9% noticed mistakes or inconsistencies. Actual…
Individual differences in self-reported lie detection abilities
Mélanie Fernandes, Domicele Jonauskaite, Frédéric… · PLOS ONE
Lower outgroup trust and higher social desirability significantly predicted higher self-reported lie detection abilities, while personality traits (Dark Triad, Big-Six),…
Investigating Feminicide in Mexico: The Conversation Management Approach proposal
Eduardo Pérez-Campos Mayoral; Ray Bull;… · European Polygraph
The paper provides a detailed case-study framework demonstrating how the Conversation Management technique can be applied to feminicide investigations through…
Is It the Judge, the Sender, or Just the Individual Message? Disentangling Person and Message Effects on Variation in Lie-Detection Judgments
Sarah Volz, Marc-André Reinhard, Patrick… · Perspectives on Psychological Science
Messages differed dramatically in detectability (21% explained variance), but senders did not—challenging sender demeanor theory. Judges determined variance in confidence…
Is the uncertain self good at detecting lies? The influence of personal uncertainty on deception detection
Marc‐André Reinhard, Sarah Volz, Kees… · European Journal of Social Psychology
Personal uncertainty did not reliably improve lie detection accuracy across contexts. Effect sizes were larger in laboratory studies than online…
Man vs machine – Detecting deception in online reviews
Maria Petrescu, Haya Ajjan, Dana… · Journal of Business Research
Automated text analysis methods show complementary strengths in detecting deceptive reviews, with incentivized reviews exhibiting linguistic patterns similar to unverified…
Methodological bases: the construction of a corpus for the detection of deception and credibility assessment: Bases metodológicas: la construcción de un corpus para la detección de mentiras y la evaluación de la credibilidad
Pedro Eduardo Hernández Fuentes · Digital Humanities, Corpus and Language Technology / Humanidades Digitales, Corpus y Tecnología del Lenguaje : A look from diverse case studies / Una mirada desde diversos casos de estudio
The chapter establishes methodological standards and best practices for corpus construction in deception detection research, with particular focus on Spanish-language…
Murderer at the door! To lie or to mislead?
Neele Engelmann ·
People judge lies as more reliable and committed than misleading statements. When deception is forbidden, lying is judged morally worse…
Psychological and Ethological Aspects of the Classification of Gestures With Deliberate Concealment of Information (Deception)
Elena Goncharenko, Taisaeva Svetlana, Argun… · SSRN Electronic Journal
Gestures during deception were adaptive and resourceful in nature, with genesis rooted in evolutionary stress responses. The classification distinguishes between…
Publishing the Data from “The Effects of Communication Mode and Culture on Deception Detection Accuracy”
Joey F. George, Manjul Gupta,… · Journal of Information Systems
Deception detection was significantly worse for video-only (no audio) compared to other media. Surprisingly, veracity judges successfully detected deception across…
Review 1: Uncertain Veracity Judgements: Does the Framing of the Question Influence Deception Detection?
·
No differences in veracity judgments were found between certainty and likelihood framing conditions, with average uncertainty ratings of 42% across…
Revisiting Deception in Breonna Taylor’s Case: A Cognitive-Acoustic Approach
Amr M. El-Zawawy · Journal of Psycholinguistic Research
The modified ADCM framework combined with acoustic dimension analysis provided clear indicators of cognitive load management during lie construction and…
Speech Deception Detection Based on EMD and Temporal Neural Network
Youjun Jiang, Haibo Chen, Shusen… · Computational Intelligence and Neuroscience
The TCN-LSTM network achieved 86.2% accuracy and 86.0% F1 score on real-life trial dataset when combined with EMD preprocessing. EMD…
The influence of foreign-accented speech on credibility: Evidence from the illusory truth effect
Anna Lorenzoni, Rita Faccio, Eduardo… ·
Foreign accent did not reduce the illusory truth effect. Despite negative social biases toward foreign speakers on explicit trait ratings,…
The influence of micro-expressions on deception detection
Suleyman Yildirim, Meshack Sandra Chimeumanu,… · Multimedia Tools and Applications
The custom-trained deep learning model achieved 74.17% accuracy in deception classification by detecting involuntary micro-expression changes, with shifts from neutral…
The Present and Future of Verbal Lie Detection
Aldert Vrij, Pӓr Anders Granhag,… · The Oxford Handbook of Psychology and Law
Strategic Use of Evidence (SUE) showed the strongest empirical support among modern protocols, while all four received validation for discriminating…
The Sound of Cooperation and Deception in High Stakes Interactions
C. Monica Capra, Matthew Gomies,… ·
Machine learning algorithms classified cooperative versus deceptive speech with 58-79% accuracy using only acoustic features, with higher pitch and lower…
The use-the-best heuristic facilitates deception detection
Bruno J. Verschuere · Nature Human Behaviour
The use-the-best heuristic focusing solely on statement detailedness significantly outperformed intuitive deception detection, achieving 65-70% accuracy compared to chance-level performance…
Verbal Indicators of Deception
Marvin Karlins, Jack Schafer, Ekici… · Journal of Forensic Sciences & Criminal Investigation
The three-variable grammatical structural analysis model (total words, text bridge ratio, spontaneous negation ratio) predicted truthful and deceptive oral narratives…
A Personal Model of Trumpery: Linguistic Deception Detection in a Real-World High-Stakes Setting
Sophie Van Der Zee, Ronald… · Psychological Science
The personalized model achieved 73% accuracy in training data and 74% in out-of-sample testing, with 36 linguistic variables showing significant…
A Review of Cognitive Load Lie Detection
David A. Neequaye ·
All seven justifications for cognitive load lie detection contain significant research gaps and theoretical ambiguities. The unsystematic use of justifications…
Are Presidential Candidates Impervious to Deception Detection? A Test of Voters' Truth‐Default
David E. Clementson, Tong Xie · Presidential Studies Quarterly
Most voters (>50%) did not spontaneously mention deception, veracity, suspicion, or evasiveness in open-ended responses after watching presidential campaign interviews,…
Assessment of Credibility of Testimony in Alleged Intimate Partner Violence: A Case Report
Teresa C. Silva · Journal of Forensic Psychology Research and Practice
The structured assessment using the Six-Factor test and B-SAFER concluded the alleged victim's testimony was of low credibility, finding no…
Building and benchmarking the motivated deception corpus: Improving the quality of deceptive text through gaming
Dan Barsever, Mark Steyvers, Emre… · Behavior Research Methods
State-of-the-art BERT classifiers that achieved 93.6% accuracy on traditional deception corpora struggled with the motivated deception corpus, achieving only 76%…
Chapter 15 Detecting Deception in Negotiation: From Natural Observation to Strategic Provocation
Jack Nasher, Leigh Thompson · De Gruyter Handbook of Organizational Conflict Management
The chapter distinguishes between passive observation of deception cues and active strategic provocation techniques, emphasizing that systematic detection methods combining…
Complex Paralinguistic Analysis of Speech: Predicting Gender, Emotions and Deception in a Hierarchical Framework
Alena Velichko, Maxim Markitantov, Heysem… · Interspeech 2022
The hierarchical framework achieved 88.4 ± 1.5% accuracy for deception detection, a 2.8% improvement over previous state-of-the-art. Gender-specific models improved…
Deception Detection Towards Multi-turn Question Answering with Context Selector Network
Yinan Bao, Qianwen Ma, Lingwei… · Lecture Notes in Computer Science
The Context Selector Network outperformed state-of-the-art baseline models by leveraging contextual information across multi-turn conversations to automatically identify deceptive signals.…
Deception in everyday life of Japanese young adults: a reanalysis
Jun’ichiro Murai, Yasuhiro Daiku · Discover Psychology
The reanalysis confirmed one prolific liar in the dataset, found no significant correlation between lies told and lies perceived (and…
Deception in the Interrogation Room: A Framework for Understanding the Psychology of Deceptive Investigative Practices
Gabriela Rico, William Edward Crozier,… ·
The framework identifies that deceptive interrogation practices share a common feature of misleading subjects about question purposes and response consequences,…
Detecting Parental Deception in the Child Safeguarding Context
Leah Fox · Child Abuse Review
Multiagency practitioners identify falsification, omission, evasion and distraction as key deception behaviors, with parents deploying context-specific tactics depending on the…
Did You Just Lie to Me? Deception Detection in Face to Face versus Computer Mediated Communication
Michelle Eskritt, Brandon Fraser, Sandra… · The Journal of Social Psychology
Communication modality did not influence deception detection accuracy or truth bias. Deceivers experienced equivalent physiological arousal across conditions but reported…
Do people know when they are good at spotting liars? – Metacognitive efficiency in Lie Detection
Nadia Said, Sarah Volz, Marc-André… ·
Metacognitive efficiency in lie detection was only 23% of what would be expected given participants' discrimination performance, indicating people fail…
Everybody Lies: Deception Levels in Various Domains of Life
Kristina Šekrst · Biosemiotics
Deception operates at all levels of biological organization, with plants and fungi exhibiting first and second-level mimicry, bacteria employing molecular…
Faculty Opinions recommendation of 'Please tell me all you remember': a comparison between British and Arab interviewees' free narrative performance and its implications for lie detection.
Maria Hartwig · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
British truth tellers reported significantly more details than Arab truth tellers (d = 1.32), while the veracity effect for details…
Fake Online Reviews: A Unified Detection Model Using Deception Theories
Mujahed Abdulqader, Abdallah Namoun, Yazed… · IEEE Access
Non-verbal behavioral features outperformed verbal linguistic features in detecting fake reviews, and combining both feature types enhanced model performance. The…
How researchers can make verbal lie detection more attractive for practitioners
Vrij, A., Fisher, R.P., Leal,… · Psychiatry Psychology and Law
The paper proposes focusing on "complications" (clusters of details that make stories more complex) as a practical real-time alternative to…
Intentional-Deception Detection Based on Facial Muscle Movements in an Interactive Social Context
Zizhao Dong, Gang Wang, Shaoyuan… · Pattern Recognition Letters
Facial EMG achieved 90% accuracy in detecting intentional deception, with the corrugator supercilii and zygomaticus muscles playing key roles. Muscles…
Leading Interview and Interrogation Techniques: Focus on Cognitive Interview
Eduardo Pérez-Campos Mayoral; Ronald Philip… · European Polygraph
The cognitive interview is scientifically validated as one of the best tools to obtain court-admissible information and can be applied…