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dc.identifier.citationBondin, L. (2018). Fake news detector (Master's dissertation).en_GB
dc.description.abstractWith the amount of information available on the web and the ease with which everyone can add his/her own input, the need for tools that help in highlighting only the truthful sections of what is being made available has never been greater. The proposed system, is envisaged to help the common user distinguish between what can be classified as real or fake news through the use of an easily accessible online tool. The application focuses on using the best techniques to help identify truthful articles from others more commonly referred by the term “fake news”. The project considers the current state of the art and aims to going a step further in integrating various technologies in order to achieve the best possible results by proposing a tripartite approach (using Machine Learning, Graph Analysis and NLP techniques). Each separate component is evaluated first in isolation and then in unison with the other components in order to obtain a more in depth understanding of the system’s performance. Tests have shown that the overall accuracy of the system in determining the nature of a news article lies at 85%. Future work on this study opens the door to the implementation of similar systems that are to be deployed in the field of deception detection at a time where the need of such systems is all the more increasing.en_GB
dc.subjectMachine learningen_GB
dc.subjectFake newsen_GB
dc.subjectGraph theoryen_GB
dc.titleFake news detectoren_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Information and Communication Technology. Department of Artificial Intelligenceen_GB
dc.contributor.creatorBondin, Luca-
Appears in Collections:Dissertations - FacICT - 2018
Dissertations - FacICTAI - 2018

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