A pretest-posttest study of 129 undergraduates found that a brief training on linguistic cues reduced 'unsure' responses when judging audio deepfakes, but did not significantly improve overall discernment accuracy relative to a reading-based control.
FoR: A dataset for synthetic speech detection
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Listening for Expert Identified Linguistic Features: Assessment of Audio Deepfake Discernment among Undergraduate Students
A pretest-posttest study of 129 undergraduates found that a brief training on linguistic cues reduced 'unsure' responses when judging audio deepfakes, but did not significantly improve overall discernment accuracy relative to a reading-based control.