For fact-checking fake news, manipulated content, and deepfakes, it is best to use a combination of authoritative sources, fact-checking organizations, reverse-search tools, and AI/deepfake detection tools.
1. Trusted fact-checking sources
• Reuters Fact Check — checks viral claims, images and misleading stories.
• AFP Fact Check — particularly useful for viral social-media claims and manipulated media.
• Associated Press — fact-checking and verification of major claims.
• Snopes — useful for rumors, viral stories, hoaxes and internet claims.
• PolitiFact — useful primarily for political claims.
2. Reverse image / video verification
Use these to determine whether an image or video is old, taken from another event, or manipulated:
• Google Lens / Images — reverse-search images.
• TinEye — finds earlier appearances of an image.
• InVID — very useful for breaking videos into frames and investigating their origins.
3. Deepfake detection
For suspected AI-generated face/video/audio, consider:
• Hive — AI-generated content detection.
• Reality Defender — detects manipulated images, audio and video.
• Deepware — focuses specifically on deepfake video detection.
• Truepic — focuses on establishing whether media is authentic and captured legitimately.
4. Official/primary sources — extremely important
For serious fact-checking, don’t rely only on AI detectors. Check the original source:
Claim Best source to verify
Government announcement Official government website
Central bank information Central bank website
Company announcement Company’s official website / filing
Court case Court record
Election result Election commission
Health claim WHO / government health authority
Financial statistics Official statistical agency
Military/security event Official authorities + multiple independent sources
Celebrity statement Verified original account/interview
Photograph Reverse-image search + original photographer/source
A good FactCheck workflow
News/WhatsApp post → Original source → Reverse image/video search → Fact-check databases → Official source → Multiple independent news sources → Deepfake analysis → Final assessment
For deepfakes, I would recommend not treating a single AI detector as proof. Detection technology can produce false positives and false negatives. Provenance, original source, metadata, reverse search, frame-by-frame analysis, and corroborating reporting are much stronger when combined.
If you are interested for ICIL Agentic Process Automation solution, this can actually be developed as a FactCheck + Fake News + Deepfake Detection Agent that automatically collects the claim, searches trusted sources, checks images/videos, assesses source credibility, and produces a Real / Misleading / False / AI-Manipulated / Unable to Verify report.
