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Fake News Detection

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dc.contributor.author Bogoda, Miyuru
dc.date.accessioned 2024-03-22T09:56:28Z
dc.date.available 2024-03-22T09:56:28Z
dc.date.issued 2023
dc.identifier.citation Bogoda, Miyuru (2023) Fake News Detection. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2019484
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1941
dc.description.abstract "This is an era of technological advancement, and nowadays every human being prefers to use the internet to access news and to get updates about their day-to-day lives and the world's news. Using the internet is easy and cheap, and there is no need to waste time trying to find a newspaper to read when you can google it and search for it. But the results of this are kind of risky, as there is widespread dissemination of fake news throughout social media platforms very quickly. Fake news is made up on purpose by someone who shouldn't be writing it or by someone with an ulterior motive to make money, get power, or help themselves. Most of the time, people write catchy headlines that attract the user. It can be made up on purpose by someone who shouldn't be writing it or by someone with an ulterior motive to make money, get power, or help themselves. Most of the time, people write catchy headlines that attract the user. It can be accidental, but it affects the person who has been the victor, or the person or thing that has been described within that. The main goal is to detect fake news using machine learning and natural learning. In this document, every topic has been explained." en_US
dc.language.iso en en_US
dc.publisher en_US
dc.subject Machine Learning en_US
dc.subject AI en_US
dc.title Fake News Detection en_US
dc.type Thesis en_US


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