Deception Detection
5 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
Most implemented papers
"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.
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.
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.
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.
