Deception Detection
8 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Deception Detection
Libraries
Use these libraries to find Deception Detection models and implementations
Mafiascum
The Mafia Dataset
Latest papers
Spatiotemporal Pyramidal CNN with Depth-Wise Separable Convolution for Eye Blinking Detection in the Wild
Eye blinking detection in the wild plays an essential role in deception detection, driving fatigue detection, etc.
UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection
Verbal deception has been studied in psychology, forensics, and computational linguistics for a variety of reasons, like understanding behaviour patterns, identifying false testimonies, and detecting deception in online communication.
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning
nms05/audio-visual-deception-detection-dolos-dataset-and-parameter-efficient-crossmodal-learning
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ICCV 2023
Despite this, deception detection research is hindered by the lack of high-quality deception datasets, as well as the difficulties of learning multimodal features effectively.
Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective
Despite the great impact of lies in human societies and a meager 54% human accuracy for Deception Detection (DD), Machine Learning systems that perform automated DD are still not viable for proper application in real-life settings due to data scarcity.
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
siddhu001/evaluating-explanations
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Through our evaluation, we observe that for a linear bag-of-words model, participants with access to the feature coefficients during training are able to cause a larger reduction in model confidence in the testing phase when compared to the no-explanation control.
The Mafiascum Dataset: A Large Text Corpus for Deception Detection
Detecting deception in natural language has a wide variety of applications, but because of its hidden nature there are currently no public, large-scale sources of labeled deceptive text.
``Liar, Liar Pants on Fire'': A New Benchmark Dataset for Fake News Detection
manideep2510/siamese-BERT-fake-news-detection-LIAR
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ACL 2017
In this paper, we present LIAR: a new, publicly available dataset for fake news detection.
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
manideep2510/siamese-BERT-fake-news-detection-LIAR
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ACL 2017
In this paper, we present liar: a new, publicly available dataset for fake news detection.
