ALGORITMOS DE INTELIGÊNCIA ARTIFICIAL APLICADA EM REDES SOCIAIS E SEUS IMPACTOS NA CRIAÇÃO DE BOLHAS SOCIAIS

Abstract

As time passes the A.I. they get better and better and their resources increase, every day there is an increase in the presence of these algorithms in people's daily lives, especially when it comes to virtual life. With that, the objective of this work was to study the performance of these algorithms in social networks and analyze if the performance of these algorithms collaborate and/or facilitate the process of formation of a social bubble from tests inside the Social Network Twitter. For this, two distinct profiles were created and a series of tests were carried out within these profiles during a period of 1 month, after the end of this period, all information was collected and cataloged in tables and graphs for a better understanding. After being cataloged, the information went through filters to define whether the results were within the proposal, which ended up showing that the performance of the user recommendation algorithm was quite incisive, showing an expected result, considering that most of the recommended users were of according to the base theme of the profiles. It can be concluded that algorithms do have a great weight in the creation of virtual social bubbles, but they are more like a catalyst than a culprit in the proposed cases, since the behavior of the algorithms reflects the performance of users within the platform.