Brazilian scientists have created a web platform to help people identify fake news online.<\/p>\n\n\n\n
The platform was created by researchers from the Centre for Mathematical Sciences Applied to Industry (CeMEAI).<\/p>\n\n\n\n
The system uses statistical methods to analyze writing characteristics, including more commonly used grammar classes.<\/p>\n\n\n\n
These are then fed into a classifier based on machine learning that can distinguish fake news from real news in terms of language patterns, vocabulary and semantics.<\/p>\n\n\n\n
It is then automatically derived if the content submitted on the platform is incorrect.<\/p>\n\n\n\n
To get the platform to identify fake news, the researchers trained the models with a large number of databases of real and fake news. In addition, the models were exposed to the vocabulary used in over 100,000 articles published in the last five years.<\/p>\n\n\n\n
According to Francisco Louzada Neto, the project coordinator and technology transfer director, the aim of the project is “to offer society an additional tool to identify, not only subjectively, whether a news item is wrong or not.”<\/p>\n\n\n