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.
Learn2Vibe AI
Online
What do you want to build?
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:
- User input for articles or screenshot uploads
- Real-time fact-checking against reliable sources and Snopes
- Immediate True/False badge display
- 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
-
Content Submission: User uploads article text or screenshot → System processes input → User waits for verification
-
Result Display: System completes verification → True/False badge appears → User views result
-
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
-
POST /api/verify
- Request: { content: string, type: "text" | "image" }
- Response: { result: "true" | "false", confidence: number, sources: string[] }
-
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
- Set up Replit environment with Node.js and React
- Implement basic frontend structure and components
- Create backend server with Express
- Integrate OCR functionality for screenshot processing
- Implement fact-checking logic and API integrations
- Develop database schema and connect MongoDB
- Create API endpoints for fact-checking and stats
- Implement user authentication (if required)
- Optimize for performance and scalability
- Conduct thorough testing and bug fixes
- Deploy initial version on Replit
Deployment Strategy
- Develop and test on Replit's integrated development environment
- Use Replit's hosting capabilities for initial deployment
- Set up continuous integration with Replit's version control
- Monitor performance and user feedback
- Iterate and improve based on user engagement
- 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.