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Natural Language Processing Approach to Fake News Detection

Aldakheel, Alanoud
; 
Anurulafchar, Tamanna
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Type
Capstone
Supervisor
balfagih, zain
Subject
Deep Learning
 Transformer Model
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ECE - Undergraduate works
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Abstract
Fake news and deception have existed since before the advent of the Internet. The widely recognized definition of Internet fake news is "A made-up story with an intention to deceive "(Tim16). Fake news is spread on social media and by news sources to boost readership or as part of psychological warfare. In general, the idea is to benefit from clickbait. Click baits use flashy headlines or graphics to persuade people to click links to increase ad income. This paper examines the prevalence of false news in light of communication breakthroughs made possible by the rise of social networking sites. The goal of the project is to provide an NLP model that may be used to detect and filter out sites that contain inaccurate and misleading information.
Department
Computer Science
Publisher
Effat University
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Open Access
http://hdl.handle.net/20.500.14131/988
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