Deepfakes are AI-generated videos, images, or audio recordings that use machine learning algorithms to create fake content. These algorithms analyze and learn from vast amounts of data, enabling them to produce highly realistic and convincing content. The term "deepfake" was coined in 2017, and since then, the technology has evolved rapidly, making it increasingly difficult to distinguish between genuine and fake content.
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Adult deepfakes, specifically, involve creating synthetic media that often features celebrities, public figures, or ordinary individuals in compromising or non-consensual situations. This form of digital manipulation not only raises serious concerns about consent, privacy, and the potential for harassment or extortion but also poses significant challenges for platforms trying to moderate and remove such content.
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The legal landscape surrounding deepfakes is complex and varies significantly across jurisdictions. There is a growing call for clearer legislation that addresses the creation, distribution, and possession of deepfakes, particularly those of a non-consensual nature.
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The implications of adult deepfakes are far-reaching and multifaceted. Some of the most significant concerns include:
Non-consensual deepfakes are a severe breach of privacy and consent [8, 10]. This form of digital manipulation not only raises
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