Criação de uma base de dados de fake news

Abstract

With the growing evolution of the Internet, coupled with the ease and agility it provides for accessing information, people increasingly began consuming news originating from social media. However, many of them did not pay attention to the veracity of the content of these news. This contributed to the rapid growth of the sharing of so-called Fake News, false news created and published with the intention of manipulating and destabilizing the target audience, and which have become a very profitable business because misinformation is attractive and interesting. On the other hand, few paid attention to the serious problems generated in society due to the dissemination of Fake News. This work aimed to develop a database of claims of Fake News, to assist in the study, identification, and combating of the dissemination of this practice that harms people and society. For this, data engineering techniques were used to assist in data collection. Three layers of data were generated: raw data and filtered data separated into true, false, and distorted, and enriched data where they were grouped into a single database of Fake News containing claims. Furthermore, the database was made available in the public domain through the project’s GitHub. This decision aims to promote transparency and collaboration in the fight against Fake News.