Automated Deception Detection Systems, a Review
نویسندگان
چکیده
منابع مشابه
Literature review for Deception detection
Deception is a very common phenomenon, especially human communication, and people have been interested in how to accurately detect deception for much of human history. In recent years, detecting deception has became a huge point of interest for many different fields of research, such as business, jurisprudence, law enforcement, and national security. Deception and its detection is a complicated...
متن کاملChallenges in Automated Deception Detection in Computer-Mediated Communication
Deception detection remains novel, challenging, and important in natural language processing, machine learning, and the broader LIS community. Computational tools capable of alerting users to potentially deceptive content in computer-mediated messages are invaluable for supporting undisrupted, computer-mediated communication, information seeking, credibility assessment and decision making. The ...
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This study investigates the effectiveness of an automatic system for detection of deception by individuals with the use of multiple indicators of such potential deception. Deception detection research in the information systems discipline has postulated increased accuracy through a new class of screening systems that automatically conduct interviews and track multiple indicators of deception si...
متن کاملIndividual Differences in Deception and Deception Detection
We are building a new corpus of deceptive and nondeceptive speech, using American English and Mandarin Chinese adult native speakers, to investigate individual and cultural differences in acoustic, prosodic, and lexical cues to deception. Here, we report on the role of personality factors using the NEO-FFI (Neuroticism-Extraversion-Openness Five Factor Inventory), gender, ethnicity and confiden...
متن کاملDeception Detection in Videos
We present a system for covert automated deception detection using information available in a video. We study the importance of different modalities like vision, audio and text for this task. On the vision side, our system uses classifiers trained on low level video features which predict human microexpressions. We show that predictions of high-level microexpressions can be used as features for...
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ژورنال
عنوان ژورنال: Iraqi Journal of Science
سال: 2021
ISSN: 2312-1637,0067-2904
DOI: 10.24996/ijs.2021.si.2.8