Deepfake detection and biases

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Role

Principal Investigator

Description

Deepfakes are computer-generated synthetic media in which a person in an existing image or video is manipulated to have another person's likeness. The public is generally poor at detecting deepfakes, performing only marginally better than chance (Somoray & Miller, 2023). A series of studies will expand on our previous work examining factors that influence deepfake detection as well as investigating the public's biases associated with deepfakes.

Date

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Project Type

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Keywords

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Funding Body

None

Amount

0

Project Team

Dan J Miller