Module: Decoupling Algorithm
Function
Separates semantic meaning from speaker identity and contextual bias. Allows testing of how much a message’s impact depends on the role or reputation of its source.
Use Cases
- Analysis of role-based misinterpretation (e.g. same message from Musk vs unknown)
- Case simulation with anonymized speaker metadata
Parameters
- Identity Suppression Toggle (boolean)
- Semantic Persistence Ratio (SPR)
- Source-Influence Decay Rate
- Raw statement with metadata
- Transformed statement (identity-removed)
- User engagement metrics (before/after)
Outputs
- Meaning shift score
- Impact delta visualization
- Contextual integrity warning
🔗 Attribution: See ../Intellectual_Attribution.md
🛡 This module is part of the LORI Framework. Original concept by the founder of the LORI Ethical System.