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Social Explorer AI

Learn what Social Explorer AI is, how to get started asking questions, and how it selects the right datasets to deliver accurate, meaningful insights.

Introduction to Social Explorer AI

  • What is Social Explorer AI?
  • Navigating the Social Explorer AI Studio
  • Understanding Your First AI Answer

Getting Started with Social Explorer AI

  • Visualizations
  • How to Cite Social Explorer AI Data
  • Why Social Explorer AI Matters
  • Limitations to Keep in Mind

How the AI Displays Sources and Methodology

  • Sources Panel Overview
  • Download and Export Options
  • Methodology & Disclaimers
  • The <datasources> Metadata Block

Understanding AI Dataset Selection

  • Overview of Dataset Selection
  • Geography-Based Dataset Eligibility
  • ACS 1-Year vs ACS 5-Year Estimates
  • Non-ACS Dataset Selection
  • Edge Cases and Exceptions in Social Explorer AI

How the AI Selects Years, Tables & Variables

  • Table Selection Logic
  • Variable Selection Logic
  • Year Selection Logic
  • Multi-Year Comparisons
  • Fallback Rules

Accuracy, Bias & Ethics

  • Data Source Bias
  • Ethical Use Guidelines
  • Privacy and Data Handling in Social Explorer AI
  • Continuous Improvement in Social Explorer AI
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