Factors Influencing Deepfake Detection

This program of research involves a series of projects in which we seek to identify various characteristics of deepfake videos that make their inauthenticity seem more or less conspicuous to observers. Some of these characteristics are, race of the video’s subject, gender of the video’s subject, actions of the video’s subject, etc… To investigate these questions we are using a dataset of deepfake videos provided by Google/Jigsaw.

Zack Tidler
Zack Tidler
Graduate Student

My research interests include the measurement of distributed cognitive ability, instructional design, and good intellectual citizenship.

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