A realidade em constante deformidade: ciência de dados aplicada à análise de fake news no Brasil

Abstract

Living surrounded by activities that generate and require data strengthens the desire to explore this raw material in order to better understand or solve certain phenomena. Defining the growing technological evolution goes beyond exploring the numerous positive impacts; it also becomes natural to observe some phenomena that follow the opposite path of this evolution, with fake news being a solid example. The spread of false information has proven to be enduring; the recent pandemic period punctually demonstrates how current and malicious the issue continues to be. This work aims to apply knowledge in the field of data science and natural language processing in the context of fake news, seeking to understand and evaluate the manufacturing of this phenomenon, as well as proposing a way to verify a news text. To achieve this, both IBGE APIs (a reliable source of factual data) and the use of Google News will be employed, providing the study's source material— the news.