Understanding and Empowering Intelligence Analysts: User-Centered Design for Deepfake Detection Tools
Y. Kelly Wu, Saniat Javid Sohrawardi, Candice R. Gerstner, Matthew Wright
2025年份
7被引次数
3顶会引用
摘要
organize analytics Figure 1: Study flow showing the two phases of user studies: the Requirements Study, followed by the Ontology Study and their sub-steps.
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引用它的顶会 Paper3
- Seeing, Hearing, and Knowing Together: Multimodal Strategies in Deepfake Videos DetectionChen Chen, Dion GohCHI 2026 · 被引用 2 次
- Collab: Fostering Critical Identification of Deepfake Videos on Social Media via Synergistic AnnotationShuning Zhang, Linzhi Wang, Shixuan Li, Yuanyuan Wu 等CHI 2026 · 被引用 1 次
- "Create an environment that protects women, rather than selling anxiety!": Participatory Threat Modelling with Chinese Young Women Living AloneShijing He, Chenkai Ma, Chi Zhang, Adam D. G. Jenkins 等CHI 2026 · 被引用 1 次
它引用的顶会 Paper6
- FaceForensics++: Learning to Detect Manipulated Facial ImagesAndreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess 等ICCV 2019 · 被引用 2,966 次
- The Utility of Explainable AI in Ad Hoc Human-Machine TeamingRohan R. Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen 等NeurIPS 2021 · 被引用 103 次
- Putting Tools in Their Place: The Role of Time and Perspective in Human-AI Collaboration for Qualitative AnalysisJessica L. Feuston, Jed R. BrubakerCSCW 2021 · 被引用 89 次
- Dungeons & Deepfakes: Using scenario-based role-play to study journalists' behavior towards using AI-based verification tools for video contentSaniat Javid Sohrawardi, Y. Kelly Wu, Andrea Hickerson, Matthew WrightCHI 2024 · 被引用 21 次
- Face X-Ray for More General Face Forgery DetectionLingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang 等CVPR 2020
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