Facial Expression Fidelity
Analyzes micro-expressions and natural facial movement patterns that synthetic generators often fail to reproduce with full accuracy.
News Verification
Detect Synthetic News Footage
AI-generated news broadcasts and fake press conferences are undermining public trust. Verify video footage before it spreads.
Broadcast Analysis
Deepfake Detection
Media Integrity
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Maximum file size: 500MB
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Understanding the Threat
How Synthetic News Footage Is Created and Spread
Fabricated news clips follow a distribution pipeline designed to maximize reach before fact-checkers can respond.
- 1
Source Material Gathering
Creators harvest real footage of anchors, politicians, and public figures from TV broadcasts and press events to build convincing synthetic replicas.
- 2
Video Fabrication
Using AI video generation and face-swap tools, they produce clips showing public figures saying things they never said or events that never occurred.
- 3
Seeding on Social Platforms
Clips are posted to social media with misleading captions, often timed to coincide with real news events to maximize confusion and sharing.
- 4
Viral Amplification
Bot networks and unwitting users share the clips widely. By the time fact-checkers debunk the content, millions of views have accumulated.
Detection Technology
What Our Detector Analyzes
Our system examines broadcast-specific artifacts that distinguish genuine footage from AI-fabricated content.
Audio-Visual Synchronization
Checks for mismatches between speech sounds and mouth movements, a common artifact in voice-cloned or dubbed synthetic news clips.
Scene Transition Analysis
Examines cuts, camera angle changes, and background consistency across frames to detect anomalies introduced by AI generation.
Encoding Pattern Analysis
Identifies re-encoding signatures and generation artifacts in the video bitstream that indicate synthetic origin or post-processing manipulation.
Why It Matters
Real-World Impact
Synthetic news footage poses a direct threat to democratic discourse and market stability. AI-generated clips of political figures have circulated during elections in multiple countries. A fabricated video showing a fake Pentagon explosion briefly moved financial markets in 2023, demonstrating how synthetic media can cause real-world economic damage within minutes of publication.
Step-by-Step Guide
How to Verify Suspicious News Footage
Follow these steps when a video clip seems too shocking, too convenient, or cannot be traced to a credible source.
1
Save the Clip
Download the suspicious video clip from social media or the website where you found it.
Use your browser download function or a screen recording if direct download is not available. Preserve the original quality when possible.
2
Upload for Deepfake Analysis
Submit the clip to our detector for comprehensive AI analysis.
Our system examines visual, audio, temporal, and encoding signals simultaneously to determine if the footage is synthetic.
3
Cross-Reference the Story
Check whether established news outlets are reporting the same event with their own sourced footage.
Fabricated clips often circulate without any corroborating coverage from wire services like AP, Reuters, or AFP.
4
Report or Share Responsibly
If detection flags the clip as likely synthetic, report it to the platform and avoid sharing.
Most platforms have dedicated reporting flows for manipulated media. Adding context about the detection result helps moderators act faster.
Frequently Asked Questions
Can this detect all types of synthetic news footage?
Our tool detects AI-generated and face-swapped video content from major generators. It analyzes visual, audio, and temporal signals. Subtle edits such as removing a frame or cropping may require forensic-level analysis beyond AI detection.
How quickly can I verify a suspicious news clip?
Most video clips are analyzed within 30 to 60 seconds depending on length and resolution. This is fast enough to verify before sharing on social media.
Are news organizations using AI detection for video?
Yes, major wire services and broadcasters are increasingly integrating AI detection tools into their editorial workflows. Our tool brings similar capabilities to individual users and smaller newsrooms.
What about manipulated audio without video changes?
Our system analyzes the audio track as part of the overall assessment. Audio-only deepfakes (synthetic voice without video manipulation) are also flagged when audio analysis detects cloned voice patterns.
How can I tell the difference between satire and disinformation?
Satire is typically labeled and attributed to known comedy sources. AI-generated disinformation is designed to deceive and lacks attribution. If a shocking clip has no clear source and cannot be verified, treat it with caution regardless of intent.
Related Use Cases
Video Call Fraud
Deepfake Video Call Scam Detection
Fraudsters use AI to impersonate executives, colleagues, and family members on live video calls. Verify recordings and clips before acting on urgent requests.
Social Media SafetySocial Media Deepfake Detection
Face-swap videos, fake celebrity endorsements, and AI-generated clips flood social media. Verify what you see before you share or believe it.