Results 121 to 130 of about 2,803,034 (293)
Content, context, cues, and demeanor in deception detection. [PDF]
Levine TR.
europepmc +1 more source
Personality Differences in Deception Detection
Although a consensus has been reached that humans are no better than average in regards to deception detection, researchers continue to investigate individual differences in deception detection (Aamodt & Custer, 2006). The Big Five model is a widely used
Spencer, Samuel
core
Our custom workflow creates anatomically accurate and diverse 3D skull models. Precise sex‐specific anatomical detail is ensured by CT‐based segmentation. Our models capture anatomical variations and pathologies. Our cost‐effective 3D printing workflow enhances model durability and fidelity.
Marina Moser +5 more
wiley +1 more source
Automated deception detection using only video and audio modalities remains a challenging problem in computer vision. Deceptive behavior is highly context dependent, shaped by factors such as the specific scenario, cultural background, and the associated
Laslo Dinges +4 more
doaj +1 more source
Emotions and Deception Detection [PDF]
Humans have developed a complex social structure which relies heavily on communication between members. However, not all communication is honest. Distinguishing honest from deceptive information is clearly a useful skills, but individuals do not possess ...
Zloteanu, M
core
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley +1 more source
SVM, BERT, or LLM? A Comparative Study on Multilingual Instructed Deception Detection
The 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
doaj +1 more source
Deception Detection in Politics: Can Voters Tell When Politicians are Lying? [PDF]
Mattes K, Popova V, Evans JR.
europepmc +1 more source
ABSTRACT Neisseria gonorrhoeae poses an urgent public health challenge due to rapidly increasing antimicrobial resistance and the absence of an effective vaccine. Targeting conserved bacterial pathways involved in essential physiological processes may provide new opportunities for vaccine antigen discovery.
Sinethemba H. Yakobi +1 more
wiley +1 more source
Explainable AI for Unraveling the Significance of Visual Cues in High Stakes Deception Detection
Deception, a widespread aspect of human behavior, has significant implications in fields like law enforcement, security, judicial proceedings, and social areas.
Suhaib Salah +9 more
doaj +1 more source

