| Autor: |
Meneses Silva, Caio V., Silva Fontes, Raphael, Colaço Júnior, Methanias |
| Předmět: |
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| Zdroj: |
Journal of Applied Security Research; Apr-Jun2021, Vol. 16 Issue 2, p168-189, 22p |
| Abstrakt: |
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. To characterize and analyze Fake News threat detection. Systematic Mapping, since the area youthfulness still prevents a complete meta-analysis. The most used algorithms were LSTM (17.14%), Naive-Bayes and Similarity Algorithm (11.43%). 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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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