Studie algoritmické personalizace obsahu a vzniku sociálních bublin na vybraných platformách

Abstract

This bachelor’s thesis examines the impact of algorithmic personalization on the formation of social bubbles on selected platforms. The theoretical section focuses on the principles underlying the functioning of algorithms, current legal regulation and technical standards linking these aspects to psychological and sociological phenomena within a broader security context. The practical section covers the methodology of the experiment itself and data collection using defined research profiles. The aim of the thesis is to conduct an experimental analysis of the influence of algorithms on the formation of social bubbles and the personalization of user content. In the concluding section, the extent and speed of algorithmic personalization are evaluated based on a comparison of the data and the findings are summarized.