FactLens

FactLens is a web application designed to verify the authenticity of headlines and generate credibility scores based on multiple factors. It combines advanced APIs, keyword-based analysis, and domain reputation checks to help users assess the reliability of online content.

Features

• Headline Authenticity Verification: Uses web search APIs to cross-check headlines for accuracy.
• Credibility Scoring System: Calculates a score out of 100 based on:
  • Source credibility
  • Cross-verification with independent sources
  • Fact-check presence
  • Temporal consistency
• Web Search Integration: Fetches search results using Google Custom Search API.
• Keyword Analysis: Identifies clickbait, emotionally charged, and manipulative content using predefined keyword lists.
• Domain Reputation Check: Matches domains against a CSV database of reliable and unreliable sources.
• Grammar Error Detection: Leverages LanguageTool API to identify spelling and grammar errors in headlines and descriptions.
• User Authentication:
  • Supports login and registration via Flask and MongoDB.
  • Integrates Google OAuth for seamless authentication.
• Interactive Web Interface:
  • Submit headlines, descriptions, and URLs for verification.
  • View credibility scores and supporting evidence in real-time.
• Session Management: Allows users to start new sessions and manage their history of verified headlines.
• Responsive Design: Provides a clean and user-friendly interface with custom CSS styling.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/FactLens.git
   cd FactLens

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:

   • Create a .env file in the root directory.
   • Add your credentials for Google Custom Search API, MongoDB, LanguageTool API, and Google OAuth.

4. Run the application:

   python app.py

5. Access the application at http://localhost:5000.

Usage

1. Navigate to the homepage.
2. Register or log in using your credentials or Google account.
3. Enter a headline, description (optional), and URL for verification.
4. View the credibility score along with supporting evidence.

Technologies Used

• Backend: Flask, MongoDB
• Frontend: HTML, CSS, JavaScript
• APIs:
  • Google Custom Search API
  • LanguageTool API
• Authentication: Google OAuth integration

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a feature branch (git checkout -b feature-name).
3. Commit your changes (git commit -m 'Add feature').
4. Push to your branch (git push origin feature-name).
5. Open a pull request.