Results 41 to 50 of about 60,899 (292)
Acoustic-Prosodic and Lexical Cues to Deception and Trust: Deciphering How People Detect Lies
Transactions of the Association for Computational Linguistics, 2020 Humans rarely perform better than chance at lie detection. To better understand human perception of deception, we created a game framework, LieCatcher, to collect ratings of perceived deception using a large corpus of deceptive and truthful interviews ...
Chen, Xi (Leslie) +4 more
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How humans impair automated deception detection performance
Acta Psychologica, 2021 Background: Deception detection is a prevalent problem for security practitioners. With a need for more large-scale approaches, automated methods using machine learning have gained traction. However, detection performance still implies considerable error
Bennett Kleinberg, Bruno Verschuere
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Process‐Informed Analysis of As‐Built Metal Additive Surface Features
Advanced Engineering Materials, EarlyView.This article introduces a novel method for feature‐based surface texture characterisation directly incorporating manufacturing variables into the feature extraction workflow. This marks a major step towards identifying process‐specific surface properties and their influence on part function and hence a holistic understanding of process–structure ...
Theresa Buchenau +5 more
wiley +1 more source
Online Deception Detection Refueled by Real World 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 ...
Caverlee, James +3 more
core +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Face-to-Face Lying: Gender and Motivation to Deceive
Frontiers in Psychology, 2022 Two studies examined gender differences in lying when the truth-telling bias prevailed (study 1) and when inspiring lying and disbelief (study 2). The first study used 156 community participants (91 women) in pairs.
Eitan Elaad, Ye’ela Gonen-Gal
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Rethinking Extracellular Vesicle Signaling
Advanced Materials, EarlyView.Extracellular vesicles enable cell communication beyond intracellular cargo delivery. This perspective highlights two plausible surface‐based signaling modes: “bind‐and‐stay” and “bind‐and‐leave.” Transient binding to multiple cells challenges the one‐vesicle‐one‐cell model.
Wojciech Chrzanowski, Joy Wolfram
wiley +1 more source
IEEE Open Journal of the Computer SocietyDeception detection is essential for protecting the public interest and maintaining social order. Its application in various fields helps to establish a safer and trustworthy social environment. This study focuses on the problem of deception detection in
Shuai Gao +6 more
doaj +1 more source
An Honest Joker reveals stereotypical beliefs about the face of deception
Scientific Reports, 2023 Research on deception detection has mainly focused on Simple Deception, in which false information is presented as true. Relatively few studies have examined Sophisticated Deception, in which true information is presented as false.
Xingchen Zhou, Rob Jenkins, Lei Zhu
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The effects of cheating on deception detection during a social dilemma [PDF]
, 2012 Research by social psychologists and others consistently finds that people are poor at detecting attempted deception by others. However, Tooby and Cosmides (cognitive psychologists who favor evolutionary analyses of behavior) have argued and shown that
Swanenburg, Kristina
core