@article{ref1,
title="Intelligent fake news detection: a systematic mapping",
journal="Journal of applied security research",
year="2021",
author="Silva, Caio V. Meneses and Fontes, Raphael Silva and Júnior, Methanias Colaço",
volume="16",
number="2",
pages="168-189",
abstract="Context The speed with which the Fake News spread today has encouraged work in various areas to minimize the damage and the public insecurity caused by their proliferation.<br><br>OBJECTIVE To characterize and analyze Fake News threat detection.<br><br>METHOD Systematic Mapping, since the area youthfulness still prevents a complete meta-analysis.<br><br>RESULTS The most used algorithms were LSTM (17.14%), Naive-Bayes and Similarity Algorithm (11.43%).<br><br>CONCLUSIONS There is still the absence of more controlled experiments in the Big Data context. Fake News is a national security problem, requiring effective solutions to combat it. Situations like the Covid-19 virus (coronavirus) reinforce this fact.<p /> <p>Language: en</p>",
language="en",
issn="1936-1610",
doi="10.1080/19361610.2020.1761224",
url="http://dx.doi.org/10.1080/19361610.2020.1761224"
}