Using AI to Identify What Makes Products
Attractive to Consumers

Kevin Maurin

Chapter 1: Scraping the data

The role of this chapter is to gather data on how products are presented online, focusing on dark patterns and framing techniques.

For quick testing and prototyping, I created 3 fake e-commerce websites that simulate various product presentations and dark patterns. You can view them here:

In my actual thesis, I will use the methodology from Mathur et al. (2019):

It is much stronger (e.g. it detects for pop-ups). I already tested with it but ran with some issues so for now I stick to my simple scrape:

Chapter 2: Behavioral Experiments on Framed vs. Neutral Products

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Chapter 3: Can AI Predict Products' Attractiveness?

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