Deepfakes and misinformation have emerged as significant threats in the digital age. Deepfakes, created using AI techniques like Generative Adversarial Networks (GANs), can produce hyper-realistic fake videos or audio. Misinformation, often spread on social media platforms, can have detrimental effects on public discourse, political stability, and public health.

AI plays a crucial role in detecting deepfakes by identifying subtle patterns that humans might miss, such as unrealistic blinking or unnatural facial movements. It also aids in flagging misinformation by analyzing linguistic structures, cross-referencing with verified databases, and tracking origin and propagation patterns.

However, challenges remain, including the shortage of labeled deepfake datasets and the ongoing arms race between deepfake creation and detection techniques. Despite these challenges, the potential of AI in safeguarding truth and trust in the digital age is vast.

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