Abstract

This paper discusses the use of artificial intelligence (AI) for detecting AI-simulated media on social media platforms. AI-generated content, like deepfake videos and synthetic images, poses a significant challenge to content moderation. The paper highlights the methods and technologies such as machine learning and deep learning models involved in identifying such content, emphasizing the importance of dataset quality. The paper offers a holistic view of the multifaceted approach required to address the challenge of AI-simulated media on social media platforms.

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