ARTIFICIAL INTELLIGENCE ARCHITECTURES IN DETECTING MISINFORMATION: AN ANALYSIS OF SOFTWARE DEVELOPMENT AND COMBATING FAKE NEWS

Authors

  • Felipe Menezes de Abreu
  • Elias Ramos Quaresma
  • Emerson Leandro da Silva Silva
  • Glaucia Nunes de Lima Santos
  • Maria Joselia Mendes das Chagas
  • Paulo Adriano Maciel da Silva
  • Paulo Cristiano Abreu de Jesus

Keywords:

Artificial Intelligence, Fake News, Software Engineering, Natural Language Processing, Deep Learning

Abstract

This article investigates the role of Artificial Intelligence (AI) as a central tool in identifying and mitigating fake news in the contemporary digital ecosystem. Through a technical and methodological approach, it explores how Machine Learning and Natural Language Processing (NLP) algorithms are integrated into the software development lifecycle to create automated verification systems. The research covers everything from requirements engineering for intelligent systems to the implementation of deep neural networks, simultaneously discussing the ethical challenges and the application of AI in the software testing and quality processes that underpin these platforms.

DOI: https://doi.org/10.56238/sevened2026.001-014

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Published

2026-01-16

Issue

Caminhos Contemporâneos da Pesquisa Multidisciplinar

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

de Abreu, F. M., Quaresma, E. R., Silva, E. L. da S., Santos, G. N. de L., das Chagas, M. J. M., da Silva, P. A. M., & de Jesus, P. C. A. (2026). ARTIFICIAL INTELLIGENCE ARCHITECTURES IN DETECTING MISINFORMATION: AN ANALYSIS OF SOFTWARE DEVELOPMENT AND COMBATING FAKE NEWS. Seven Editora, 182-192. https://sevenpubl.com.br/editora/article/view/9043