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| dc.contributor.advisor | Zollo, Fabiana | it_IT |
| dc.contributor.author | Santoro, Arnaldo <1990> | it_IT |
| dc.date.accessioned | 2021-04-12 | it_IT |
| dc.date.accessioned | 2021-07-21T08:04:58Z | |
| dc.date.available | 2021-07-21T08:04:58Z | |
| dc.date.issued | 2021-05-10 | it_IT |
| dc.identifier.uri | http://hdl.handle.net/10579/19139 | |
| dc.description.abstract | The internet and social media enabled individuals to overcome barriers of time and space, enabling the connection of people and events. Massive digital misinformation is one of the major threats of our society and an additional challenge to overcome during a global pandemic such as the Covid-19. In this work, we introduce a lexicon-based approach to cluster users’ and identify possible sources of misinformation on YouTube. | it_IT |
| dc.language.iso | en | it_IT |
| dc.publisher | Università Ca' Foscari Venezia | it_IT |
| dc.rights | © Arnaldo Santoro, 2021 | it_IT |
| dc.title | A Lexicon-based Approach to Users’ Clustering: An Application to Misinformation on Youtube | it_IT |
| dc.title.alternative | A Lexicon-based Approach to Users’ Clustering: An Application to Misinformation on YouTube | it_IT |
| dc.type | Master's Degree Thesis | it_IT |
| dc.degree.name | Informatica - computer science | it_IT |
| dc.degree.level | Laurea magistrale | it_IT |
| dc.degree.grantor | Dipartimento di Scienze Ambientali, Informatica e Statistica | it_IT |
| dc.description.academicyear | 2019-2020, sessione straordinaria LM | it_IT |
| dc.rights.accessrights | openAccess | it_IT |
| dc.thesis.matricno | 822274 | it_IT |
| dc.subject.miur | INF/01 INFORMATICA | it_IT |
| dc.description.note | it_IT | |
| dc.degree.discipline | it_IT | |
| dc.contributor.co-advisor | it_IT | |
| dc.date.embargoend | it_IT | |
| dc.provenance.upload | Arnaldo Santoro (822274@stud.unive.it), 2021-04-12 | it_IT |
| dc.provenance.plagiarycheck | Fabiana Zollo (fabiana.zollo@unive.it), 2021-04-26 | it_IT |
