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Project Goals: Fascist Language Identification & Visualization

Mission

To build an automated system using LangChain that analyzes political communications (e.g., Project 2025 documents) to identify, classify, and visualize language patterns associated with fascist ideology.

Work Styles ("Ralph Style")

  1. Iterative Goal-Driven: Define goal -> Build Model -> Update Doc -> Repeat.
  2. Context First: Maintain clear context throughout the process.

Domain Concepts

We will map LangChain representations to defined fascist traits. A starting framework is Umberto Eco's "Ur-Fascism" (14 properties):

  1. Cult of Tradition
  2. Rejection of Modernism
  3. Action for Action's Sake
  4. Disagreement is Treason
  5. Fear of Difference
  6. Appeal to Social Frustration
  7. Obsession with a Plot
  8. Enemy is both Strong and Weak
  9. Pacifism is Trafficking with the Enemy
  10. Contempt for the Weak
  11. Everybody is Educated to Become a Hero
  12. Machismo and Weaponry
  13. Selective Populism
  14. Ur-Fascism Speaks Newspeak

Technical Objectives (LangChain Learning)

  • Chains: Build sequential chains to process text.
  • Retrieval: Use RAG to query the document against the definitions.
  • Agents: Potentially use agents to explore the text autonomously.
  • Output Parsers: Structured output for the visualization layer.

Visualization

  • Heatmaps: Density of fascist rhetoric in document sections.
  • Classification: Tagging specific quotes with the Ur-Fascism trait.