Research proposal outlines a multi-tiered defense against deepfake misinformation during elections, highlighting the need for algorithmic detection and platform governance.
Deepfakes, synthetic media that overlay one person's features on another's face, pose a considerable threat to democratic processes, especially during elections. To combat this, a research proposal recommends an approach involving platform responsibility, community warnings, and government intervention. Platforms should use advanced AI algorithms, implement clear policies, and educate users. The community should identify and report suspicious content, aided by platform tools and discussions. Government involvement is necessary for legal protections against deepfakes, potentially involving laws and regulations for platforms. The research emphasizes DefakeHop++, a deepfake detection model using a layered approach to identify manipulated content.
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Kumar et al. (2024) studied this question.
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