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dc.contributor.advisorPallis, Georgeen
dc.contributor.authorChristodoulou, Chrysovalantis S.en
dc.coverage.spatialCyprusen
dc.creatorChristodoulou, Chrysovalantis S.en
dc.date.accessioned2021-04-12T12:57:39Z
dc.date.available2021-04-12T12:57:39Z
dc.date.issued2020-12-21
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/64245en
dc.descriptionThesis (Master) -- University of Cyprus, Faculty of Pure and Applied Sciences, Department of Computer Science, 2020.en
dc.description.abstractRecently, the misinformation pandemic, known as \say{infodemic}, has been flooding the internet and social media. The crisis of misinformation is rapidly infecting our daily lives, and its impact on society and democracy worsens. The influence of fake news in events like the COVID-19 pandemic and the 2020 US presidential election indicate the urgent need to reduce the spread and penetration of misinformation and fake news, made from users either knowingly or inadvertently. Many recent approaches seek to mitigate misinformation through automatic identification with artificial intelligence techniques. However, due to the complexity of the problem, most of the algorithms are too specific with no generalized outcomes. In this work, we believe that the only way to stop this \say{infodemic}, is hidden in analyzing and understanding the evolution of it through time. Therefore, we developed a crawler to gather articles from trusted and untrusted sources, covering a period of 10 years. By collecting these articles, we construct a comprehensive dataset containing almost daily basis data with 500K documents. Having the dataset allows extracting a plethora of different linguistic features, for each article, indexing and visualized them to study their evolution. To the best of our knowledge, no previous work proposed any similar contribution.en
dc.language.isoengen
dc.publisherΠανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightsOpen Accessen
dc.titleFake News Evolution - Linguistic Characteristicsen
dc.typeinfo:eu-repo/semantics/masterThesisen
dc.contributor.committeememberPallis, Georgeen
dc.contributor.committeememberDikaiakos, Mariosen
dc.contributor.committeememberAnastasiou, Andreasen
dc.contributor.departmentΠανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών, Τμήμα Πληροφορικήςel
dc.contributor.departmentUniversity of Cyprus, Faculty of Pure and Applied Sciences, Department of Computer Scienceen
dc.subject.uncontrolledtermFAKE NEWSen
dc.subject.uncontrolledtermFAKE NEWS EVOLUTIONen
dc.subject.uncontrolledtermNATURAL LANGUAGE PROCESSINGen
dc.subject.uncontrolledtermFEATURE EXTRACTIONen
dc.subject.uncontrolledtermCRAWLINGen
dc.subject.uncontrolledtermANALYTICSen
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeMaster Thesisen
dc.contributor.orcidPallis, George [0000-0003-1815-5468]


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