Abstract
Over the recent years, fake news detection has been a topic of constant question and research among the society of cognitive engineers and many cynical enthusiasts in the field. With social media at easy disposal, it becomes but imperative to determine the factual truthfulness of the information. Rampant fake news sellers are a menace in society, threatening the very base of democracy and the freedom of speech. In this paper, we try to provide a brief understanding of the current methodologies in fake news detection, along with proposing a multistage fake news detection system. All the phases that have been designed are ordered in increasing order of complexity and efficiency. If fake news detection does not provide results with an acceptable level of accuracy or satisfactory results at any phase, we have designed for a subsequent phase up in the hierarchy which is assured to provide better accuracy.
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Mishra, S., Sinha, H.R., Mitra, T., Sahoo, M. (2022). I Hardly Lie: A Multistage Fake News Detection System. In: Dehuri, S., Prasad Mishra, B.S., Mallick, P.K., Cho, SB. (eds) Biologically Inspired Techniques in Many Criteria Decision Making. Smart Innovation, Systems and Technologies, vol 271. Springer, Singapore. https://doi.org/10.1007/978-981-16-8739-6_23
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DOI: https://doi.org/10.1007/978-981-16-8739-6_23
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