AIMC Topic: Deception

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Deceptive Online Content Detection Using Only Message Characteristics and a Machine Learning Trained Expert System.

Sensors (Basel, Switzerland) Oct 26, 2021
This paper considers the use of a post metadata-based approach to identifying intentionally deceptive online content. It presents the use of an inherently explainable artificial intelligence technique, which utilizes machine learning to train an expe...
Expert Systems Emotions Deception Artificial Intelligence Machine Learning
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Exponential synchronization of coupled neural networks under stochastic deception attacks.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2021
In this paper, the issue of synchronization is investigated for coupled neural networks subject to stochastic deception attacks. Firstly, a general differential inequality with delayed impulses is given. Then, the established differential inequality ...
Neural Networks, Computer Time Factors Deception
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Machine learning based approach to exam cheating detection.

PloS one Aug 4, 2021
The COVID-19 pandemic has impelled the majority of schools and universities around the world to switch to remote teaching. One of the greatest challenges in online education is preserving the academic integrity of student assessments. The lack of dir...
Humans COVID-19 Algorithms SARS-CoV-2 Machine Learning Pandemics Datasets as Topic Education, Distance Fraud Universities Educational Measurement Models, Theoretical Lie Detection Deception
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Improved semi-supervised autoencoder for deception detection.

PloS one Oct 8, 2019
Existing algorithms of speech-based deception detection are severely restricted by the lack of sufficient number of labelled data. However, a large amount of easily available unlabelled data has not been utilized in reality. To solve this problem, th...
Artificial Intelligence Algorithms Deception Lie Detection Humans
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Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection.

PloS one Sep 26, 2019
With the rapid development of the internet, social media has become an essential tool for getting information, and attracted a large number of people join the social media platforms because of its low cost, accessibility and amazing content. It great...
Deception Social Media Data Analysis Models, Statistical Neural Networks, Computer
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Predicting instructed simulation and dissimulation when screening for depressive symptoms.

European archives of psychiatry and clinical neuroscience Dec 12, 2018
The intentional distortion of test results presents a fundamental problem to self-report-based psychiatric assessment, such as screening for depressive symptoms. The first objective of the study was to clarify whether depressed patients like healthy ...
Supervised Machine Learning Malingering Deception Predictive Value of Tests Young Adult Adult Depression Psychometrics Humans Male Female
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Resting-state Functional Connectivity and Deception: Exploring Individualized Deceptive Propensity by Machine Learning.

Neuroscience Oct 28, 2018
Individuals show marked variability in determining to be honest or deceptive in daily life. A large number of studies have investigated the neural substrates of deception; however, the brain networks contributing to the individual differences in dece...
Adult Male Deception Brain Mapping Magnetic Resonance Imaging Brain Female Young Adult Humans Machine Learning Games, Experimental Individuality Nerve Net
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Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis.

Scientific reports Sep 21, 2017
The present study examined how different brain regions interact with each other during spontaneous honest vs. dishonest communication. More specifically, we took a complex network approach based on the graph-theory to analyze neural response data whe...
Brain Female Deception Male Child Analysis of Variance Humans Models, Neurological Nerve Net Neural Networks, Computer
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Making Activity Recognition Robust against Deceptive Behavior.

PloS one Dec 11, 2015
Healthcare services increasingly use the activity recognition technology to track the daily activities of individuals. In some cases, this is used to provide incentives. For example, some health insurance companies offer discount to customers who are...
Smartphone Female Deception Adult Motor Activity Humans Pattern Recognition, Automated Male Ergometry Machine Learning
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Enhancing text-centric fake news detection via external knowledge distillation from LLMs.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Fake news poses a significant threat to society, making the automatic and accurate detection of fake news an urgent task. Various detection cues have been explored in extensive research, with news text content shown to be indispensable as it directly...
Language Deception Knowledge Humans Neural Networks, Computer
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