Deception Detection
8 papers with code • 0 benchmarks • 2 datasets
Benchmarks
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Libraries
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Mafiascum
The Mafia Dataset
Latest papers with no code
MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews
Using this dataset, we conduct extensive linguistic analyses to (1) compare the AI fake hotel reviews to real hotel reviews, and (2) identify the factors that influence the deception detection model performance.
Can Deception Detection Go Deeper? Dataset, Evaluation, and Benchmark for Deception Reasoning
To address data scarcity, this paper proposes a new data collection pipeline.
SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detection
This research explores the problem of deception through the lens of psychology, employing a framework that categorizes deception into three forms: lies of omission, lies of commission, and lies of influence.
Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks
This paper explores the application of convolutional neural networks for the purpose of multimodal deception detection.
LoRA-like Calibration for Multimodal Deception Detection using ATSFace Data
Recently, deception detection on human videos is an eye-catching techniques and can serve lots applications.
Automated Deception Detection from Videos: Using End-to-End Learning Based High-Level Features and Classification Approaches
Due to limited training data, we also utilize discriminative models for deception detection.
Voting-based Multimodal Automatic Deception Detection
Best results achieved on images, audio and text were 97%, 96%, 92% respectively on Real-Life Trial Dataset, and 97%, 82%, 73% on video, audio and text respectively on Miami University Deception Detection.
Deception Detection with Feature-Augmentation by soft Domain Transfer
In this era of information explosion, deceivers use different domains or mediums of information to exploit the users, such as News, Emails, and Tweets.
Flexible-modal Deception Detection with Audio-Visual Adapter
Detecting deception by human behaviors is vital in many fields such as custom security and multimedia anti-fraud.
Explainable Verbal Deception Detection using Transformers
We then zoom in on vocabulary uniqueness and the correlation of LIWC categories with the outcome class (truthful vs deceptive).
