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dc.contributor.author
Velonis, Aristeidis
en
dc.date.accessioned
2022-09-15T07:31:07Z
dc.date.available
2022-09-15T07:31:07Z
dc.date.issued
2022-09-15
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/30025
dc.rights
Default License
dc.subject
ranking systems
en
dc.subject
Fake news
en
dc.title
Ranking Systems For Fake News Detection
en
heal.type
masterThesis
en_US
heal.generalDescription
A thesis submitted for the degree of Master of Science (MSc) in Information and Communication Systems
en
heal.dateAvailable
2022-08-29
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in e-Business and Digital Marketing
en_US
heal.publicationDate
2022-01-07
heal.bibliographicCitation
Velonis, Aristeidis, "Ranking Systems For Fake News Detection", School of Science and Technology, Master of Science (MSc) in Information and Communication Systems, International Hellenic University, 2022.
en
heal.abstract
In this thesis we analyze the ranking systems for fake news detec- tion. The dissertation is divided into 2 parts. In the theoretical and in the analysis of various models (FakerFact, Index, CSI, FNED) for de- tecting false news. In the theoretical part some definitions are men- tioned in order to make the subject more understandable, some im- portant events with fake news (2016 US Elections, 2017 French Elec- tions, 2020 Covid - 19) and finally an analysis is made for the EU, for the principles and values and how responded to the fake news chal- lenge. As far as the technical part, there is a lot of discussion in the literature about machine learning in fake news detection and in the latest models it seems to be taken into account. The article concludes that fake news can have devastating consequences for health and electoral issues. Also, no articles were found in the literature that combine something technical with something more theoretical, which means that the two sides may not communicate properly with each other.
en
heal.advisorName
Peristeras, Vasileios
el
heal.committeeMemberName
Stavrinides, Stavros
en
heal.academicPublisher
School of Science and Technology, Master of Science (MSc) in Information and Communication Systems
en
heal.academicPublisherID
ihu
en_US
heal.numberOfPages
45
en_US


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