Why Culture and Philosophy Matter for the Studies of Algorithmic Recommender Systems. An Example from the Time Prior to the Outbreak of the Russian–Ukrainian War in 2022
Journal: Human-Centric Intelligent Systems
Year: 2024

Abstract This study, conducted through 2020–2022, was an attempt to model a situation in which Russian-speaking users wanted to use YouTube to inform themselves about Crimea’s annexation, and who would then progress by watching videos relevant to the question, picking only relevant recommendations from the list of recommendations made by YouTube throughout the three stages of the experiment. The aim of the data collection was to explore filter bubbles, maintained by YouTube’s recommender algorit