  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.
