Weighted Accuracy Algorithmic Approach In Counteracting Fake News And Disinformation

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30 juillet 2020

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arXiv - économie

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arXiv

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Cornell University

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Computer Science - Computation and Language Computer Science - Social and Information Networks Economics - General Economics

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forged

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Kwadwo Osei Bonsu, « Weighted Accuracy Algorithmic Approach In Counteracting Fake News And Disinformation », arXiv - économie, ID : 10.2478/ers-2021-0007

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As the world is becoming more dependent on the internet for information exchange, some overzealous journalists, hackers, bloggers, individuals and organizations tend to abuse the gift of free information environment by polluting it with fake news, disinformation and pretentious content for their own agenda. Hence, there is the need to address the issue of fake news and disinformation with utmost seriousness. This paper proposes a methodology for fake news detection and reporting through a constraint mechanism that utilizes the combined weighted accuracies of four machine learning algorithms.

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