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Contextual considerations for deception production and detection in forensic interviews
Frontiers in Psychology, 2023 Most deception scholars agree that deception production and deception detection effects often display mixed results across settings. For example, some liars use more emotion than truth-tellers when discussing fake opinions on abortion, but not when ...
David M. Markowitz +3 more
doaj +1 more source
Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results [PDF]
2021 IEEE International Joint Conference on Biometrics (IJCB), 2021 We present the Deception Detection and Physiological Monitoring (DDPM) dataset and initial baseline results on this dataset. Our application context is an interview scenario in which the interviewee attempts to deceive the interviewer on selected ...
Jeremy Speth +5 more
semanticscholar +1 more source
Detecting Deceptive Behaviours through Facial Cues from Videos: A Systematic Review
Applied Sciences, 2023 Interest in detecting deceptive behaviours by various application fields, such as security systems, political debates, advanced intelligent user interfaces, etc., makes automatic deception detection an active research topic.
Arianna D’Ulizia +3 more
doaj +1 more source
The influence of micro-expressions on deception detection
Multimedia tools and applications, 2023 Facial micro-expressions are universal symbols of emotions that provide cohesion to interpersonal communication. At the same time, the changes in micro-expressions are considered to be the most important hints in the psychology of emotion.
S. Yildirim +2 more
semanticscholar +1 more source
Social Media Identity Deception Detection [PDF]
ACM Computing Surveys, 2021 Social media have been growing rapidly and become essential elements of many people’s lives. Meanwhile, social media have also come to be a popular source for identity deception.
Ahmed AlHarbi +4 more
semanticscholar +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 +3 more
doaj +3 more sources
Deception Detection in Group Video Conversations using Dynamic Interaction Networks [PDF]
International Conference on Web and Social Media, 2021 Predicting groups of people who are jointly deceptive is critical in settings such as sales pitches and negotiations. Past work on deception in videos focuses on detecting single deceivers and uses facial or visual features only.
Srijan Kumar +3 more
semanticscholar +1 more source
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 +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 +3 more
doaj +1 more source
Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception Detection [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 Automated systems that detect deception in high-stakes situations can enhance societal well-being across medical, social work, and legal domains. Existing models for detecting high-stakes deception in videos have been supervised, but labeled datasets to ...
Leena Mathur, Maja J. Matari'c
semanticscholar +1 more source