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You can combine visual-forensic checks, metadata and provenance checks, and third‑party detection tools to reliably flag many AI‑generated YouTube videos, but no single method is definitive; . Practic...
Several browser extensions and standalone services claim to detect AI‑generated or deepfake videos on YouTube, including AI Content Shield (Chrome/Firefox), Hive AI Detector (Chrome), Hiya’s Deepfake ...
Detecting AI‑generated deepfake videos and audio on social media requires a layered approach: visual and audio forensic signals, machine‑learning detectors trained on synthetic versus authentic media,...
Deepfaked medical endorsements—videos or audio that use AI to impersonate doctors or celebrities to sell treatments—are proliferating on social media and have been used to push unproven supplements an...
A growing ecosystem of commercial and research detectors can flag AI‑generated audio and video used in medical scams, from web‑upload forensic tools to real‑time call‑analysis systems, but their effec...
Several established fact‑checking outlets and verification organizations have documented, investigated, or developed tools to detect synthetic media used to impersonate journalists; prominent names ap...
Deepfakes have moved from novelty to a weapon in health disinformation campaigns, impersonating clinicians, fabricating endorsements for supplements, and even altering medical images—tactics documente...
A growing ecosystem of commercial vendors, university labs and government-funded projects focuses on spotting AI-generated endorsements and other synthetic media used in political and commercial conte...
Deepfake detection tools combine machine learning, signal analysis and forensic metadata checks to flag manipulated audio and video, and a growing set of commercial and open services are available to ...
When public figures post images or videos during breaking news, analysts and journalists rely on a toolbox of image/video forensics, provenance platforms, and general DFIR suites to check manipulation...