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Fakipedia: Building and exploiting an AI model for detecting online fake news in Burkina Faso

Domaine:

natural language processing

Type de record:

papermodel
Créateur:
YamSabBisKaf
Éditeur:
CenUni
Éditeur:
CCSD
Hôte:avatar
Misinformation poses a significant challenge, especially in developing countries with low literacy rates. The rapid spread on social media, coupled with their lack of robust verification mechanisms, makes distinguishing between credible and false information increasingly difficult. This document outlines our efforts to address this challenge in Burkina Faso using the pre-trained linguistic model CAMEMBERT. Our preliminary results show high performance (up to a 99.34% F1 score) on Fakipedia, suggesting that certain blatant instances of false information can be effectively identified and stopped by automated tools.

Tasks

text classification

Tags

Fake NewsMachine LearningText ClassificationcamemBERTArtificial Intelligence[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Licenses

https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/OpenAccess

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