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As AI models advance, identifying fake video clips becomes harder. However, certain visual inconsistencies, known as artifacts, often give away a deepfake: A New Dataset for Explainable Deepfake Detection in Video As AI models advance, identifying fake video clips

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The digital landscape is witnessing an unprecedented surge in synthesized media, driven by accessible artificial intelligence (AI) tools and deep learning architectures. Terms associated with niche, adult-oriented synthetic video portals—such as —reflect a broader, highly active search interest in localized or ethnically targeted deepfake platforms.

Creating or distributing deepfakes of real people without their consent is widely considered unethical and, in many jurisdictions, illegal, as it can be used for harassment or defamation.