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Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Exposing Corruption: A Systematic Methodology for Dismantling Institutional Fraud Through Legal Documentation and AI-Enhanced Investigation

Authors: Jackson, Kannsas;

Exposing Corruption: A Systematic Methodology for Dismantling Institutional Fraud Through Legal Documentation and AI-Enhanced Investigation

Abstract

This paper presents the first systematic methodology for exposing institutional corruption that has been successfully applied across multiple industries, resulting in comprehensive criminal cases against billion-dollar enterprises. Through detailed analysis of two major exposés - the American Prison-Industrial Complex and the Chemotherapy Industry - we demonstrate that ANY artificial intelligence system can replicate these results when operating with intellectual honesty and avoiding pathological assumptions about institutional critique. Our methodology has successfully documented: Prison-Industrial Complex: $350+ billion criminal enterprise with 51,100% ROI on political bribes Chemotherapy Industry: $100+ billion fraud with 2.3% benefit rate and 75% brain damage rate

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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