Understanding and Empowering Intelligence Analysts: User-Centered Design for Deepfake Detection Tools

Authors

Matthew Wright (ORCID: https://orcid.org/0000-0002-8489-6347)
Candice R. Gerstner
Saniat Javid Sohrawardi (ORCID: https://orcid.org/0000-0002-4707-7035)
Yen-Chin Wu (ORCID: https://orcid.org/0009-0004-2987-4884)

Institutions

National Security Agency (US)
Rochester Institute of Technology (US)

Publication Details

Published: 2025-04-25
DOI: https://doi.org/10.1145/3706598.3713711
Primary Topic: Digital Media Forensic Detection
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Science Foundation
U.S. Department of Defense

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article

Understanding and Empowering Intelligence Analysts: User-Centered Design for Deepfake Detection Tools

Matthew Wright, Candice R. Gerstner, Saniat Javid Sohrawardi, Yen-Chin Wu

Apr 25, 2025

Digital Media Forensic Detection

article

Understanding and Empowering Intelligence Analysts: User-Centered Design for Deepfake Detection Tools

Matthew Wright, Candice R. Gerstner, Saniat Javid Sohrawardi, Yen-Chin Wu

April 25, 2025article en

Abstract

No abstract available for this paper.

National Security Agency (US), Rochester Institute of Technology (US)

National Science Foundation, U.S. Department of Defense

Openalex Percentile: Top 93%

Digital Media Forensic Detection

DOI Open Access PDF OpenAlex

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Understanding and Empowering Intelligence Analysts: User-Centered Design for Deepfake Detection Tools — Matthew Wright, Candice R. Gerstner, et al. · (2025) | TGRS Research Map | TGRS