Abstract
The focus of this project is to understand how the TikTok recommendation algorithm works and observe how it affects the user. Furthermore, this paper works towards understanding what a filter bubble is and if a filter bubble is a negative thing. This project is based on theories about machine learning, algorithms and filter bubbles. The project includes a pilot experiment where the aim is to discern if filter bubbles exist and if so, how fast they can occur.
