Ivasiuk, Bogdan
(2023)
Addressing Misinformation Challenges in War Scenario: Russo-Ukrainian War.
[Laurea magistrale], Università di Bologna, Corso di Studio in
Artificial intelligence [LM-DM270], Documento full-text non disponibile
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Abstract
This study introduces a new dataset focused on the analysis of fake news, misinformation, and the assessment of similarity between newspaper articles related to the large-scale Russian invasion of Ukraine, effectively constituting a war between the two countries. Leveraging advanced Natural Language Processing (NLP) techniques, the research aims to thoroughly examine the public narrative of the events associated with this invasion and, consequently, the creation of the dataset under investigation. The analysis seeks to provide a subjective evaluation of various journalistic sources reporting on the most significant events. In essence, this work offers a detailed presentation of the studied events and dataset characteristics, providing an overview of the NLP techniques employed to explore article similarity and the methods used for propaganda detection. Importantly, this work represents only a first step toward our ambitious goal and, hopefully, will encourage further research in this direction.
Abstract
This study introduces a new dataset focused on the analysis of fake news, misinformation, and the assessment of similarity between newspaper articles related to the large-scale Russian invasion of Ukraine, effectively constituting a war between the two countries. Leveraging advanced Natural Language Processing (NLP) techniques, the research aims to thoroughly examine the public narrative of the events associated with this invasion and, consequently, the creation of the dataset under investigation. The analysis seeks to provide a subjective evaluation of various journalistic sources reporting on the most significant events. In essence, this work offers a detailed presentation of the studied events and dataset characteristics, providing an overview of the NLP techniques employed to explore article similarity and the methods used for propaganda detection. Importantly, this work represents only a first step toward our ambitious goal and, hopefully, will encourage further research in this direction.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Ivasiuk, Bogdan
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
NLP,misinformation,FakeNews,Newspaper,Ukraine,War,RussianInvasion,BERT,Propaganda,Similarity
Data di discussione della Tesi
16 Dicembre 2023
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Ivasiuk, Bogdan
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
NLP,misinformation,FakeNews,Newspaper,Ukraine,War,RussianInvasion,BERT,Propaganda,Similarity
Data di discussione della Tesi
16 Dicembre 2023
URI
Gestione del documento: