Giter Club home page Giter Club logo

detectify's Introduction

Detectify

Your Guard Against Dark Patterns

Dark Pattern Buster utilizes advanced algorithms to analyze the structure and behavior of websites. Users are prompted to enter the website URL they want to examine, and our tool then scans the website for known dark patterns. The results are presented in an easy-to-understand report, highlighting specific lines of code or design elements that exhibit deceptive patterns. Key Features Website Analysis: Dark Pattern Buster scans websites for various types of dark patterns. Line Detection: The tool identifies specific lines of code or design elements that contribute to deceptive practices. User-Friendly Interface: The platform is designed with simplicity in mind, ensuring ease of use for all users. *Educational Resources: * Dark Pattern Buster provides educational content to help users understand common dark patterns and make informed decisions online.

Detectify Home Page

Try Detectify

How It Works

  1. Cutting-edge Detection: Dark Pattern Buster employs an advanced Random Forest model for precise identification of deceptive patterns on websites, ensuring a highly accurate analysis.
  2. Optimal Balance: The Random Forest model is finely tuned to strike a balance between precision and recall, delivering reliable results that capture deceptive elements while minimizing false negatives.
  3. Instant Results: Our real-time analysis provides users with immediate feedback on deceptive design elements, facilitating quick decision-making and enhancing online safety.
  4. Adaptable to Trends: Dark Pattern Buster's model adapts to evolving deceptive practices, staying current with emerging trends and consistently updating to protect users against the latest dark pattern techniques.
  5. Line-Level Precision: The model not only identifies deceptive patterns but also offers granular insights by pinpointing specific lines of code or design elements contributing to the detected issues.
  6. User-friendly Reporting: Results are presented in a clear and actionable report, translating complex machine learning outputs into easily understandable insights, empowering users to address detected deceptive patterns efficiently.

Usage

Dark Pattern Buster is a free and open tool for anyone concerned about online manipulation. Whether you are a regular user, a privacy advocate, or a web developer, you can contribute to a safer online environment by using and promoting Dark Pattern Buster.

detectify's People

Contributors

anni299 avatar vaishh9vi avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.