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dc.contributor.advisorMilioni, Dimitra L.-
dc.contributor.authorIrakleous, George-
dc.date.accessioned2020-07-16T07:31:22Z-
dc.date.available2020-07-16T07:31:22Z-
dc.date.issued2020-05-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/18479-
dc.description.abstractDay by day, algorithms of all kinds are becoming part of our daily routines and help us to improve our daily lives. The recommendation systems of many platforms we daily use, are using different algorithms in order to function properly. A strand of the relevant research is currently exploring the impact of algorithms on the identity of users and culture more generally, which leads to the notion of “algorithmic culture”. Pariser (2011) first wrote about the phenomenon of the “filter bubble” and how they are being created, both by users and algorithms. Yet, it still remains controversial today if the phenomenon is real, and has split the academic community, as many tried to prove that such a phenomenon is not created by the algorithms. The YouTube platform has one of the most widely used recommendation systems and will be the focus of analysis for this thesis. The thesis examines the platform of YouTube for the existence of a commercial filter bubble in the case of music culture and ponders its impact on identity, or in this case, the music taste of users. Following the method of algorithm auditing, two fake accounts were created and loaded with two different types of music content in order to impersonate two different types of user with different music taste. By analyzing the recommended videos of the two accounts we show how different kinds of bubbles emerged through the recommendation of the platform, and how the platform of YouTube can faction as technology of the self.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.publisherDepartment of Communication and Internet Studies, Faculty of Communication and Media Studies, Cyprus University of Technologyen_US
dc.rightsΑπαγορέυεται η δημοσίευση ή αναπαραγωγή,ηλεκτρονική η άλλη χωρίς τη γραπτή συγκατάθεση του δημιουργού και κατόχου των πνευματικών δικαιωμάτων.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectYouTubeen_US
dc.subjectRecommendationsen_US
dc.subjectAlgorithmsen_US
dc.subjectCultureen_US
dc.subjectFilter Bubbleen_US
dc.titleAlgorithmic culture and filter bubble: the case of YouTube’s recommendation systemen_US
dc.typeBachelors Thesisen_US
dc.affiliationCyprus University of Technologyen_US
dc.relation.deptDepartment of Communication and Internet Studiesen_US
dc.description.statusCompleteden_US
cut.common.academicyear2019-2020en_US
dc.relation.facultyFaculty of Communication and Media Studiesen_US
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_46ec-
item.cerifentitytypePublications-
item.openairetypebachelorThesis-
crisitem.author.deptDepartment of Communication and Internet Studies-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0002-2342-4952-
crisitem.author.parentorgFaculty of Communication and Media Studies-
Εμφανίζεται στις συλλογές:Πτυχιακές Εργασίες/ Bachelor's Degree Theses
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