Deception Detection

3 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations

siddhu001/evaluating-explanations 17 Dec 2021

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.