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Research in 2021 and beyond regarding deepfake detection has focused on comprehensive surveys and evaluating models like EfficientNetV2-B2, with a strong emphasis on addressing the challenge of generalization across different manipulation types. Key studies highlight the necessity of utilizing hybrid approaches, such as combining DenseNet with Cross-ViT, to improve detection accuracy. More information can be found in this ResearchGate article.

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  • Reclamation: using synthetic editing to resurrect forgotten cultural artifacts, to parody stereotypes, or to stage interventions that critique mainstream portrayals.
  • Play: generating humorous re-creations, lip-sync remixes, and vernacular mashups that circulate as memes and cultural commentary.
  • Resistance and risk: exposing and contesting misuse, debating consent, and balancing the joy of creative synthesis with the ethical cost when likenesses are hijacked.