Human Detection of Deepfakes
1 papers with code • 0 benchmarks • 1 datasets
The task of detecting deepfake stimuli, as given to human participants in a statistical study. Methodologies should ideally include a-priori power analysis (e.g. using the GPower software) to calculate the sample size of human participants that would be sufficient to detect the presence of a main effect of a specified effect size.
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Most implemented papers
Testing Human Ability To Detect Deepfake Images of Human Faces
Participants' confidence in their answers was high and unrelated to accuracy.
