47 lines
2.7 KiB
Markdown
47 lines
2.7 KiB
Markdown
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## 🧾 Submission Brief
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**Title:** *The Recursive Claim: A Forensic Linguistic Framework for Detecting Deception in Insurance Fraud Narratives*
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**Author:** Mark Randall Havens, MSc-ISS
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**Research Domain:** Forensic Linguistics · Affective Computing · Deception Detection · AI Ethics · Insurance Fraud
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---
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### 🎯 Abstract (Mentor-Facing Summary):
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This preprint introduces a novel forensic methodology — **Recursive Linguistic Analysis (RLA)** — designed to detect deception in insurance fraud claims through **cognitive dissonance patterns embedded in language**. Unlike conventional fraud detection models reliant on statistical outliers or red flags, this framework decodes deception through **recursive pattern resonance**, disfluency mapping, and affective entropy within written or spoken narratives.
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The paper also proposes a **three-zone risk taxonomy** based on coherence degradation and intentional narrative fabrication, aligned with real-world claim typologies. Each zone is illustrated through comparative forensic case studies and informed by both human-AI coanalysis and modern language models.
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At its core, this framework empowers practitioners to distinguish between honest incoherence (such as that of trauma survivors) and malicious fabrication, advancing the ethical frontier of **empathetic deception detection** in high-stakes forensic environments.
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---
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### 🧠 Key Contributions:
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* **Recursive Witness Dynamics (RWD):** A novel model for mapping truth-collapse in deceptive testimony.
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* **Thoughtprint & Shadowprint Integration:** Grounded in cognitive-affective AI, repurposed here for forensic insurance contexts.
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* **Forensic Lexicon & DARVO Alignment Map:** A structured toolkit that connects linguistic markers with psychological manipulation typologies.
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### 🔬 Ideal Mentor Collaboration:
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We are seeking alignment with mentors or labs exploring any of the following:
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* Applied linguistics in forensic or legal contexts
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* Deception detection via NLP, voice, or text analytics
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* AI-integrated investigative or adjudication workflows
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* High-conflict forensic environments (e.g., insurance, divorce, fraud, etc.)
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This work is part of a broader research canon titled **Neutralizing Narcissism**, which studies abusive deception as both a psychological pattern and a linguistic artifact — and applies these insights in service of justice, empathy, and institutional truth recovery.
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---
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### 📤 Submission Intent:
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We are preparing this work for preprint indexing and conference consideration (ICAIL, IJCAI, IEEE IST, or HICSS).
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We welcome co-authorship, mentorship, or alignment opportunities for the continued development and field validation of this forensic approach.
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