Date of Award
7-8-2025
Document Type
Thesis
Degree Name
Master of Arts
First Advisor
James Hutson
Second Advisor
Sue Edele
Third Advisor
Paul Huffman
Abstract
This project addresses critical gaps in AI-assisted writing by developing the first systematic framework that integrates classical rhetorical principles with modern large language model capabilities for authorial voice development. The primary focus is on creating reliable methods for stylistic control through strategic AI collaboration rather than ad hoc prompting approaches. The project develops a comprehensive coding system for analyzing prose style, creates ten distinct authorial personas, and establishes a dual curation methodology that structures both stylistic analysis and content preparation. Implementation through the AI Writing Guide website provides practical tools including prompt templates, annotated examples, and instructional materials that demonstrate superior results compared to intuitive methods. The systematic approach enables sophisticated stylistic control while building transferable analytical skills, with applications across educational, professional, and creative domains that democratize access to advanced communication techniques while preserving human creativity and judgment in the writing process.
Recommended Citation
Plate, Daniel, "Bridging Classical Rhetoric and AI: A Systematic Framework for Developing Authorial Voice Through Large Language Models" (2025). Theses. 1411.
https://digitalcommons.lindenwood.edu/theses/1411
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