Detection of Fake News Using Deep Learning and Machine Learning

Gabriela Chiriac and Ada Maria Catina
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Gabriela Chiriac: The Bucharest University of Economic Studies, Romania
Ada Maria Catina: The Bucharest University of Economic Studies, Romania

Database Systems Journal, 2025, vol. 16, issue 1, 65-81

Abstract: Automatically identifying fake news is a complex challenge requiring detailed understanding of misinformation propagation and advanced data processing. Machine Learning and Deep Learning algorithms for detection demand continuous adaptation as disinformation tactics evolve. While promising, these technologies must be carefully calibrated for different contexts. This paper explores automated fake-news detection methods, analyzing their effectiveness and proposing improvements to address data quality, domain variability, and evolving disinformation strategies.

Keywords: misinformation; Machine Learning; Deep Learning; fake news detection (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:16:y:2025:i:1:p:65-81

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