Estudo Abordando o Contexto de Not\'icias Falsas em Pa\'ises de L\'ingua Portuguesa (Fake News)

TL;DR

This study analyzes the spread and impact of false news in Portuguese-speaking countries, developing a taxonomic model and a tool to assess the likelihood of news being false based on various parameters.

Contribution

It introduces a taxonomic model and a probabilistic tool for detecting false news, addressing specific challenges in Portuguese-language contexts.

Findings

Developed a model to classify news as true, false, or uncertain.

Created a tool that calculates the probability of news being false.

Validated the tool's accuracy through testing.

Abstract

This work consists of a study that addresses the context of false news in the reality of today's world. False news is a widely used expression currently. During the study, it was possible to identify problems generalized about this theme, such as the wide spread that these have and the impact they have on society. From these problems it was possible to identify more specific ones, such as the origin of the news, the news source, a person who shares and/or creates news and the interpersonal relationship existing. With the identification of the aforementioned sub-problems, it was possible develop a taxonomic model with the aim of implementing a tool that helps in detecting false news, identifying if a news is true, false or whether the user must be careful (when it is not possible identify whether the news is true or false). After implementation, it was possible get a tool that allows you to calculate a probability of a news being false, selected as selected options in each parameter. It was also possible to verify that a probability was correct and that the tool is reviewed in the study carried out.