Results 11 to 20 of about 62,713 (311)

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, Dai, Zeyu, Huang, Ruihong, Yao, Wenlin   +3 more
core   +2 more sources

SVM, BERT, or LLM? A Comparative Study on Multilingual Instructed Deception Detection [PDF]

AI
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, René Meléndez, Michal Ptaszynski, Fumito Masui, Lara Aslan, Juuso Eronen   +5 more
doaj   +2 more sources

A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection. [PDF]

Front Hum Neurosci, 2020
Zhang J, Zhang J, Ren H, Liu Q, Du Z, Wu L, Sai L, Yuan Z, Mo S, Lin X.   +9 more
europepmc   +3 more sources

EEG-based deception detection using weighted dual perspective visibility graph analysis. [PDF]

Cogn Neurodyn
Rahimi Saryazdi A, Ghassemi F, Tabanfar Z, Ansarinasab S, Nazarimehr F, Jafari S.   +5 more
europepmc   +3 more sources

Being accurate about accuracy in verbal deception detection. [PDF]

PLoS One, 2019
Kleinberg B, Arntz A, Verschuere B.
europepmc   +3 more sources

A Comprehensive Review on Features Extraction and Features Matching Techniques for Deception Detection

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   +1 more source

Survey of software anomaly detection based on deception

网络与信息安全学报, 2022
Advanced persistent threats (APT) will use vulnerabilities to automatically load attack code and hide attack behavior, and exploits code reuse to bypass the non-executable stack ＆amp; heap protection, which is an essential threat to network security ...
Jianming FU, Chang LIU, Mengfei XIE, Chenke LUO   +3 more
doaj   +3 more sources

IT’S THE INTENTION THAT COUNTS. A REVIEW ON DECEPTION DETECTION FOCUSED ON INTENTIONS [PDF]

Papeles del Psicólogo, 2018
For years the research on deception detection has been guided by classical theories that support the idea that the liar gives out behavioral indicators which betray him/her. Within the new lines of research, deception detection focused on intentions has
María Carmen Feijoo Fernández, Lucía Halty   +1 more
doaj   +1 more source

Computational Measures of Deceptive Language: Prospects and Issues

Frontiers in Communication, 2022
In this article, we wish to foster a dialogue between theory-based and classification-oriented stylometric approaches regarding deception detection. To do so, we review how cue-based and model-based stylometric systems are used to detect deceit. Baseline
Frédéric Tomas, Frédéric Tomas, Olivier Dodier, Samuel Demarchi   +3 more
doaj   +1 more source

The tangled webs they weave: A scoping review of deception detection and production in relation to Dark Triad traits

Acta Psychologica, 2022
People deceive for different reasons, from avoiding interpersonal conflicts to preserving, protecting, and nurturing interpersonal relationships, and to obtaining social status and power.
Andreea Turi, Mădălina-Raluca Rebeleș, Laura Visu-Petra   +2 more
doaj   +1 more source