multi-source-investigation

1. Adversarial Search

• Verification Queries: Designing "Fact-Check" queries to find counter-perspectives.
• Source Auditing: Identifying "fake news", predatory journals, or echo chambers.

2. Data Triangulation

• Cross-Referencing: Mapping overlapping claims across text, data, and academic preprints.
• Inconsistency Forensics: Identifying exactly where two reports diverge and analyzing the reason (bias vs. data).

3. Investigative Narrative

• Truth Mapping: Visualizing the landscape of evidence from "Verified" to "Debunked".
• Evidence Weighting: Assessing the "Preponderance of Evidence".

<output_format>

Investigation Report: [Subject]

Core Question: [The central claim/topic being investigated]

Verification Matrix:

Source Credibility Audit:

• [Source A]: [Reliability Rating + Notes on Bias]
• [Source B]: [Reliability Rating + Notes on Bias]

Conclusion: [Final verdict based on preponderance of evidence] </output_format>