Fake News Detector Tool

Fake News Detection Tool with Source Verification

This project is a Fake News Detection Tool designed to identify potential misinformation in news articles. It analyzes news content by performing three main checks:

1. Source Credibility: It verifies whether the source of the news article is reliable by comparing the input URL with a list of trusted sources.

2. Source Reliability:Source reliability is a critical factor in determining the trustworthiness of information. By assessing source reliability, we can make informed decisions about what information to believe and share.

3. Language Pattern Analysis: The tool checks for common misleading words or phrases often associated with fake news, such as "exclusive", "shocking", or "unbelievable".

Features:

- Simple interface for entering news text and source URL.

- Basic source verification using trusted news outlets like BBC, CNN, and Reuters.

- Language pattern analysis to identify sensationalist or misleading language.

- Provides a result indicating whether the news is likely to be true, false, or unverifiable.

How It Works:

- Input News Article's source URL.

- The tool checks the source for credibility and analyzes the language for potential signs of misinformation.

- The result will display whether the news is credible, potentially fake, or requires further verification.

Technologies Used:

- HTML: Structure and form for user input.

- CSS: Basic styling for the tool’s interface.

- JavaScript: Logic for processing input, analyzing language patterns, and verifying source credibility.

How to Use:

1. Clone the repository.

2. Open `index.html` in your browser.

3. Enter a news article text and a source URL in the provided fields.

4. Click the "Check News" button to analyze the content.

Future Improvements:

- Integrating real-time source verification with external APIs.

- Implementing advanced language processing with NLP techniques.

- Adding a more extensive database of trusted news sources for better accuracy.

Feel free to contribute by submitting issues or pull requests.