Adaptation of the Ferret/WebFerret Algorithm for Plagiarism Detection in Portuguese Texts: Challenges with AI-Generated Texts

• Adler Gonçalves Elias UFMT
• Robson da Silva Lopes UFMT

DOI: https://doi.org/10.5753/eri-mt.2024.245825

Abstract

This study investigates the adaptation of the Ferret/WebFerret algorithm for plagiarism detection in Portuguese-language texts, with a particular focus on the challenges presented by AI-generated content. The implemented system conducts a phrase-by-phrase analysis using trigrams, leveraging Google’s API to search for potential source material. In experiments involving mosaic plagiarism, the algorithm proved effective in identifying instances of copied content. However, it struggled to trace the origins of AI-generated texts. The findings indicate a need for the development of new AI-driven algorithms tailored to this emerging issue.

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