How to Build a Real-Time Fact-Checking Website for the Public

Create a user-friendly fact-checking website that instantly verifies content against trusted sources. This project aims to provide immediate True/False results for articles or screenshots, making reliable information easily accessible to the general public.

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Simple Summary

Build a real-time fact-checking website that instantly verifies articles or screenshots against reliable sources and Snopes, displaying a True/False badge for the general public.

Product Requirements Document (PRD)

Goals:

  • Develop a real-time fact-checking website for the general public
  • Provide immediate verification results for articles or screenshots
  • Support English language content
  • Handle up to 100 simultaneous users

Target Audience:

  • General public seeking quick fact verification

Key Features:

  1. User input for articles or screenshot uploads
  2. Real-time fact-checking against reliable sources and Snopes
  3. Immediate True/False badge display
  4. User-friendly interface for easy navigation

User Requirements:

  • Simple, intuitive interface for content submission
  • Fast, accurate fact-checking results
  • Clear True/False badge visualization
  • Mobile-responsive design for accessibility on various devices

User Flows

  1. Content Submission: User uploads article text or screenshot → System processes input → User waits for verification

  2. Result Display: System completes verification → True/False badge appears → User views result

  3. Multiple Checks: User submits another piece of content → System processes new input → New result displayed

Technical Specifications

  • Frontend: React.js for a responsive single-page application
  • Backend: Node.js with Express for API handling
  • Database: MongoDB for storing verification results and user data
  • API Integration: Axios for HTTP requests to fact-checking APIs
  • Image Processing: Tesseract.js for OCR on uploaded screenshots
  • Hosting: Replit for development and initial deployment
  • Version Control: Git integration within Replit

API Endpoints

  1. POST /api/verify

    • Request: { content: string, type: "text" | "image" }
    • Response: { result: "true" | "false", confidence: number, sources: string[] }
  2. GET /api/stats

    • Response: { totalChecks: number, accuracyRate: number }

Database Schema

FactCheck: id: ObjectId content: String type: String (text/image) result: Boolean confidence: Number sources: Array<String> timestamp: Date User: id: ObjectId username: String checkCount: Number

File Structure

/src /components Header.js Footer.js FactCheckForm.js ResultDisplay.js /pages Home.js About.js /services apiService.js factCheckService.js /utils imageProcessing.js App.js index.js /server /routes factCheck.js stats.js /models FactCheck.js User.js server.js /public index.html styles.css

Implementation Plan

  1. Set up Replit environment with Node.js and React
  2. Implement basic frontend structure and components
  3. Create backend server with Express
  4. Integrate OCR functionality for screenshot processing
  5. Implement fact-checking logic and API integrations
  6. Develop database schema and connect MongoDB
  7. Create API endpoints for fact-checking and stats
  8. Implement user authentication (if required)
  9. Optimize for performance and scalability
  10. Conduct thorough testing and bug fixes
  11. Deploy initial version on Replit

Deployment Strategy

  1. Develop and test on Replit's integrated development environment
  2. Use Replit's hosting capabilities for initial deployment
  3. Set up continuous integration with Replit's version control
  4. Monitor performance and user feedback
  5. Iterate and improve based on user engagement
  6. Consider scaling to a cloud platform (e.g., Heroku, AWS) if user base grows beyond Replit's capabilities

Design Rationale

The project uses React for its component-based architecture, allowing for a modular and maintainable frontend. Node.js and Express provide a lightweight backend suitable for API integrations. MongoDB is chosen for its flexibility with unstructured data, which is beneficial for storing varied fact-checking results. The file structure separates concerns between frontend components, backend logic, and services, promoting code organization. Replit is used for its all-in-one development and hosting capabilities, making it ideal for a beginner-friendly project with immediate deployment needs.