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Digital Journalism

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Research Frontiers in Deepfake Detection in Video Journalism

Research into forensic methods and machine learning approaches to identify manipulated video content in digital news media.

Temporal Inconsistency Signatures in Synthetic Video Narratives
Multimodal Forgery Detection at Scale for Newsrooms
Deepfake Detection Without Ground Truth Training Data
Adversarial Robustness in Real-Time Journalistic Verification
Synthetic Voice Fingerprinting in Audio-Visual Journalism
Cross-Platform Deepfake Provenance and Attribution Methods
Imperceptible Manipulation Detection in High-Resolution Footage
Bias Amplification in Automated Deepfake Detection Systems
Generalization Across Deepfake Generation Architectures
Human-AI Collaboration in Newsroom Forensic Workflows

All Digital Journalism PhD categories