Executive Order Analysis Project
The Executive Order Analysis Project systematically analyzes and organizes the content of presidential executive orders signed on January 20, 2025 to the present to make them easier to understand, compare, and evaluate. It provides structured insights into the intent, tone, and policy focus of each order, enabling better visibility into emerging themes, government priorities, and cross-cutting policy directives.
This analysis is part of a non-partisan research effort using Python and Artificial Intelligence to examine presidential directives and identify recurring patterns. Anthropic and OpenAI APIs are primarily used to create visual and narrative content across this project.
Explore the Content
Executive Order Summaries
One page per order with structured metadata and concise analysis.
Category Summaries
Cross-order synthesis within each policy domain (26 categories).
Executive Order Category Rationales
Brief explanations of why each order was assigned its primary category.
Executive Order Sentiment Analyses
Examine the tone, emotional framing, and rhetorical strategies in each document.
Category Sentiment Analyses
Cross-order rhetorical and tonal analysis within each policy domain (26 categories).
Federal Register Executive Orders
Official Federal Register records with direct HTML and PDF links for each executive order.
Insights on policy + governance
View All Insights →Selected narrative and visual analyses derived from the Executive Order Analysis Project, published on Fetaverse and Substack.
Annotated Analysis: EO 14362 — Designation of Certain Muslim Brotherhood Chapters
The most negatively scored executive order across 244 analyzed. Sentence-level sentiment scoring with rhetorical annotation.
March 2026
Predicting Trump's Election Executive Order Before It's Written
The Text Doesn't Exist Yet. The Rhetorical Template Does.
February 26, 2026
The Crisis-to-Solution Playbook: How AI Decoded Trump's Executive Order Formula
A visual-first analysis revealing the emotional script behind 152 executive orders
June 1, 2025
Trump 2025: On Track to Surpass Presidential Record Set in 1941
How Trump's Executive Order Pace Would Eclipse FDR's Wartime Peak During Peacetime
May 22, 2025
Scope and Method
- Coverage begins with the inauguration of President Trump on January 20, 2025.
- Executive orders are analyzed after publication in the Federal Register (typically 2–3 days post-signing).
- Orders are ingested from the Federal Register and analyzed using a consistent, repeatable framework so new orders can be added without changing the methodology.
- Emphasis on transparency, reproducibility, and a non-partisan analytical framework focused on linguistic and structural patterns.
Outputs and Analysis Components
Executive order-level
- Full text capture and archival
- Structured summaries and metadata
- Keywords (with searchable index)
- Category assignment (26 predefined categories) with rationale
- Sentiment analysis (overall tone, section progression, limitations/bias warnings)
- Sentence-level sentiment via AI-enhanced VADER analysis across all meaningful sentences
Category-level
- Core themes and patterns across orders
- Reflection of broader policy priorities
- Distinctive language and rhetorical techniques
- Common verb patterns revealing policy framing strategies
- Cross-document analysis of directive language
Primary Use Cases
- Track emerging policy themes and framing techniques
- Compare executive orders across issue areas
- Analyze governance tone and shifts over time
- Study how authority is exercised through linguistic choices
- Support researchers, journalists, legal analysts, and civic observers
Reference Links
Note: The summaries and analyses presented here are informational and analytical in nature and are intended to support non-partisan civic understanding.
Subscribe for Updates
For new executive order content, please send an email to exec_orders@proton.me with the subject line "Subscribe."
Privacy: email addresses will only be used to send updates about new summaries and will not be shared.