Deception detection using real-life trial data

V Pérez-Rosas, M Abouelenien, R Mihalcea… - Proceedings of the 2015 …, 2015 - dl.acm.org
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 …

Are computers effective lie detectors? A meta-analysis of linguistic cues to deception

V Hauch, I Blandón-Gitlin, J Masip… - Personality and social …, 2015 - journals.sagepub.com
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 …

The last research mile: Achieving both rigor and relevance in information systems research

JF Nunamaker Jr, RO Briggs, DC Derrick… - Journal of …, 2015 - Taylor & Francis
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 …

LieNet: a deep convolution neural network framework for detecting deception

M Karnati, A Seal, A Yazidi… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Nowadays, automatic deception detection has received considerable attention 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

CS Throckmorton, WJ Mayew, M Venkatachalam… - Decision Support …, 2015 - Elsevier
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 …

Multimodal deception detection using real-life trial data

MU Şen, V Perez-Rosas, B Yanikoglu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

[PDF][PDF] Verbal and nonverbal clues for real-life deception detection

V Pérez-Rosas, M Abouelenien… - Proceedings of the …, 2015 - aclanthology.org
Deception detection has been receiving an increasing amount of attention from the
computational linguistics, speech, and multimodal processing communities. One of the …

Detecting deceptive behavior via integration of discriminative features from multiple modalities

M Abouelenien, V Pérez-Rosas… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
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 …

Creating high-value real-world impact through systematic programs of research

JF Nunamaker, NW Twyman, JS Giboney, RO Briggs - MIS Quarterly, 2017 - JSTOR
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 …

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 …