August 25, 2025Open Access

Addressing Deepfake Technologies Through Detection and Regulation: A Systematic Survey

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This survey analyzes deepfake detection methods and regulatory frameworks, indicating ethical and security concerns.

Deepfake technology has raised significant ethical and security concerns, impacting public confidence and privacy.
A systematic survey narrowed down 57 relevant documents from an initial collection of over 73, focusing on detection and regulation.
Technological approaches include convolutional neural networks and multimodal analysis, emphasizing their role in detection.
Legislative responses to deepfakes vary globally, highlighting the need for effective regulation across jurisdictions.

Rania Ibrahim (2025) studied this question.

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