Lateral Reading
The analysis model leaves the AI responses behind and cross-checks claims against external real-world sources, exactly like professional fact-checkers do.
How it works
Lateral Reading (also called “tabbed reading”) is the #1 technique used by fact-checkers at places like Stanford History Education Group. Instead of reading an AI answer “vertically” (deeper into the same text), the analysis model searches the live web for independent verification. In SeekBox:
- The analysis model scans each model’s key claims
- It performs rapid background checks using Tavily plus external references
- It reports which statements are corroborated, which are disputed, and which lack support
- You receive a concise verdict with links to supporting evidence where possible
When to use it
- Fact-checking news, politics, or health claims
- Verifying statistics or historical events quoted by AI
- Due-diligence on business ideas or startup pitches generated by models
- Students learning responsible research habits
- Anyone suspicious of AI “confident-sounding” but unverified answers
This mode organizes model output for review. Its conclusions still require appropriate source checking and human judgment.
Sources
- NIST AI Risk Management Framework — National Institute of Standards and Technology. Accessed 2026-07-20.