AIMC Topic: Deception

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Transfer learning driven fake news detection and classification using large language models.

Scientific reports Aug 5, 2025
Today, the problem of using social media to spread false information is not only widespread but also quite serious. The extensive dissemination of fake news, regardless of whether it is produced by human beings or computer programs, has a negative im...
Humans Machine Learning Deception Social Media Large Language Models Algorithms Language
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Multimodal machine learning for deception detection using behavioral and physiological data.

Scientific reports Mar 15, 2025
Deception detection is crucial in domains like national security, privacy, judiciary, and courtroom trials. Differentiating truth from lies is inherently challenging due to many complex, diversified behavioural, physiological and cognitive aspects. T...
Galvanic Skin Response Electroencephalography Electrooculography Male India Lie Detection Deception Electrocardiography Machine Learning Female Adult Humans
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Multi-domain Urdu fake news detection using pre-trained ensemble model.

Scientific reports Mar 13, 2025
Fake News (FN) dissemination on websites and online platforms influences human behaviours, socio-political domains, and the sovereignty of a country. The outpour of biased news and propaganda on online portals can be addressed by restricting online p...
Humans Machine Learning Deception Natural Language Processing Internet Language Deep Learning
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High performance fake review detection using pretrained DeBERTa optimized with Monarch Butterfly paradigm.

Scientific reports Mar 3, 2025
In this era of internet, e-commerce has grown tremendously and the customers are increasingly relying on reviews for product information. As these reviews influence the purchasing ability of the future customer, it can give a positive or negative imp...
Internet Machine Learning Commerce Algorithms Deception Humans Neural Networks, Computer
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A comparison of the response-pattern-based faking detection methods.

The Journal of applied psychology Jan 20, 2025
The covariance index method, the idiosyncratic item response method, and the machine learning method are the three primary response-pattern-based (RPB) approaches to detect faking on personality tests. However, less is known about how their performan...
Personality Tests Personality Deception Machine Learning Adult Humans
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Experimental economics for machine learning-a methodological contribution on lie detection.

PloS one Dec 31, 2024
In this paper, we investigate how technology has contributed to experimental economics in the past and illustrate how experimental economics can contribute to technological progress in the future. We argue that with machine learning (ML), a new techn...
Lie Detection Algorithms Humans Economics Female Deception Machine Learning Male
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H control for fractional order neural networks with uncertainties subject to deception attacks via Improved memory-event-triggered scheme and Its application.

Neural networks : the official journal of the International Neural Network Society Dec 28, 2024
The article discusses an improved memory-event-triggered strategy for H control class of fractional-order neural networks (FONNs) with uncertainties, which are vulnerable to deception attacks. The system under consideration is simultaneously influenc...
Deception Computer Security Uncertainty Memory Humans Neural Networks, Computer Algorithms
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Novel approach for predicting fake news stance detection using large word embedding blending and customized CNN model.

PloS one Dec 13, 2024
The proliferation of fake news is one of the major problems that causes personal and societal harm. In today's fast-paced digital age, misinformation spreads rapidly, often leaving individuals without the time to verify the authenticity of the inform...
Social Media Algorithms Deception Humans Neural Networks, Computer
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Diagnosis of Pain Deception Using Minnesota Multiphasic Personality Inventory-2 Based on XGBoost Machine Learning Algorithm: A Single-Blinded Randomized Controlled Trial.

Medicina (Kaunas, Lithuania) Dec 2, 2024
: Assessing pain deception is challenging due to its subjective nature. The main goal of this study was to evaluate the diagnostic value of pain deception using machine learning (ML) analysis with the Minnesota Multiphasic Personality Inventory-2 (MM...
MMPI Humans Middle Aged Deception Single-Blind Method Pain Pain Measurement Female Machine Learning Adult Algorithms Male
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Towards generalizable face forgery detection via mitigating spurious correlation.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
The continuous advancement of face forgery techniques has caused a series of trust crises, posing a significant menace to information security and personal privacy. In response, deep learning is being employed to develop effective detection methods t...
Automated Facial Recognition Humans Face Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning Algorithms Deception Trust
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