Fact or Fake? Assessing the Role of Deepfake Detectors in Multimodal Misinformation Detection
How much verified proof exists for this claim
One strong evidence source: arxiv
How intriguing or unexplained this claim is
The claim involves an active investigation into the effectiveness of deepfake detectors in multimodal misinformation detection, with multiple competing theories on their utility and significant unknowns regarding their contribution to automated fact-checking processes.
In multimodal misinformation, deception usually arises not just from pixel-level manipulations in an image, but from the semantic and contextual claim jointly expressed by the image-text pair. Yet most deepfake detectors, engineered to detect pixel-level forgeries, do not account for claim-level meaning, despite their growing integration in automated fact-checking (AFC) pipelines. This raises a central scientific and practical question: Do pixel-level detectors contribute useful signal for ve...