Anti Manipulation Bridgade - Truth Eye

Anti Manipulation Bridgade - Truth Eye

Exposing Dark Patterns in Online Shopping

Created on 4th January 2024

Anti Manipulation Bridgade - Truth Eye

Anti Manipulation Bridgade - Truth Eye

Exposing Dark Patterns in Online Shopping

The problem Anti Manipulation Bridgade - Truth Eye solves

Problem Solved: Safeguarding E-commerce Integrity with our Dark Pattern Detector

Our project tackled the pervasive issue of dark patterns in online commerce, where deceptive design tactics compromise user trust. We successfully addressed the dynamic nature of dark patterns by implementing an adaptive learning approach, allowing our Dark Pattern Detector to evolve in real-time. Emphasizing user privacy and ethical considerations, our solution seamlessly integrates with diverse e-commerce platforms, providing consistent protection. Through user education and a balanced algorithm, we achieved optimal detection accuracy, ensuring a scalable and effective defense against deceptive practices in the growing digital landscape.

Challenges we ran into

Data Quality and Variability:
Gathering representative and diverse datasets to train the detector may be challenging, as dark patterns can take various forms and evolve over time.

Dynamic Nature of Dark Patterns:
Adapting the detector to recognize new and evolving dark patterns poses a challenge, as designers constantly invent new tactics to deceive users.

Real-time Detection:
Ensuring real-time detection without compromising system performance can be a challenge, especially when dealing with

Tracks Applied (2)

Ethereum + Polygon Track

Here's a brief description of how it could fit into the Ethereum + Polygon track: Ethereum for Security: Utilize Ether...Read More
Polygon

Polygon

Replit

Our project fits into the Replit track by leveraging its collaborative coding environment, code-sharing capabilities, an...Read More
Replit

Replit

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