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Deception detection using real-life trial data
Hearings of witnesses and defendants play a crucial role when reaching court trial
decisions. Given the high-stake nature of trial outcomes, implementing accurate and …
decisions. Given the high-stake nature of trial outcomes, implementing accurate and …
Are computers effective lie detectors? A meta-analysis of linguistic cues to deception
This meta-analysis investigates linguistic cues to deception and whether these cues can be
detected with computer programs. We integrated operational definitions for 79 cues from 44 …
detected with computer programs. We integrated operational definitions for 79 cues from 44 …
The last research mile: Achieving both rigor and relevance in information systems research
From our desk chairs it may be tempting to work up an idea, build a quick prototype, test it in
a lab, and say,“Our work here is done; the rest is merely details.” More scholarly knowledge …
a lab, and say,“Our work here is done; the rest is merely details.” More scholarly knowledge …
LieNet: a deep convolution neural network framework for detecting deception
Nowadays, automatic deception detection has received considerable attention in the
machine learning community owing to this research interest to its vast applications in the …
machine learning community owing to this research interest to its vast applications in the …
Financial fraud detection using vocal, linguistic and financial cues
Corporate financial fraud has a severe negative impact on investors and the capital market
in general. The current resources committed to financial fraud detection (FFD), however, are …
in general. The current resources committed to financial fraud detection (FFD), however, are …
Multimodal deception detection using real-life trial data
Hearings of witnesses and defendants play a crucial role when reaching court trial
decisions. Given the high-stakes nature of trial outcomes, develo** computational models …
decisions. Given the high-stakes nature of trial outcomes, develo** computational models …
[PDF][PDF] Verbal and nonverbal clues for real-life deception detection
Deception detection has been receiving an increasing amount of attention from the
computational linguistics, speech, and multimodal processing communities. One of the …
computational linguistics, speech, and multimodal processing communities. One of the …
Detecting deceptive behavior via integration of discriminative features from multiple modalities
Deception detection has received an increasing amount of attention in recent years, due to
the significant growth of digital media, as well as increased ethical and security concerns …
the significant growth of digital media, as well as increased ethical and security concerns …
Creating high-value real-world impact through systematic programs of research
An ongoing conversation in the Information Systems literature addresses the concern,“How
can we conduct research that makes a difference?” A shortage of high-impact research will …
can we conduct research that makes a difference?” A shortage of high-impact research will …
Deception detection using multimodal fusion approaches
S Chebbi, SB Jebara - Multimedia Tools and Applications, 2023 - Springer
Automatic deception detection is an important task that has gained a huge interest in
different fields due to its potential applications. Particularly, it can improve justice and …
different fields due to its potential applications. Particularly, it can improve justice and …