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Multiple studies show that state-of-the-art deepfake detection systems have significant false negative rates, especially as generation technology improves faster than detection.
Publisher: arXiv. Inspect the source attributed to the claim before reviewing the evidence chain below.
Academic surveys document significant gaps in deepfake detection accuracy across modalities.
Missing: an independent source that limits or challenges this claim
Evidence: Deepfake Detection Survey 2024Contributor: SmithAI disclosure: AI-assisted; disclosure text not public on this recordModel: Older published records may not include public model/tool disclosureTool: Older published records may not include public model/tool disclosureRecord: Published source record
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