Misinformation is false or inaccurate information presented or circulated as factual, whether or not deception is intended. In text-to-image generation, realistic outputs can support misleading, propagandistic, or manipulative content that undermines public trust, democratic processes, and reliable information. section 1.6 section 13.2
Text-to-image misinformation creates several practical concerns:
- Deepfakes can make fabricated visual content appear credible and support the spread of misleading or manipulative claims. section 1.6 section 13.2
- Countermeasures include robust content-moderation systems, responsible-use guidelines, and cooperation among developers, policymakers, and media organizations. section 1.6 section 13.2
- Detection can use a deep-learning classifier that differentiates real images from deepfakes with a fine-tuned ResNet architecture. section 13.2
Synthetic political impersonation
In early 2024, thousands of New Hampshire voters received a robocall purporting to be from Joe Biden, illustrating how fabricated media can manipulate public communication. section 1.6
