dc.creator.ID |
VIEIRA, L. L. |
pt_BR |
dc.contributor.advisor1 |
CAMPELO, Cláudio Elízio Calazans. |
|
dc.contributor.advisor1ID |
CAMPELO, C. E. C. |
pt_BR |
dc.contributor.advisor1Lattes |
http://lattes.cnpq.br/2042247762832979 |
pt_BR |
dc.contributor.referee1 |
MORAIS, Fábio Jorge Almeida. |
|
dc.contributor.referee2 |
MASSONI, Tiago Lima. |
|
dc.publisher.country |
Brasil |
pt_BR |
dc.publisher.department |
Centro de Engenharia Elétrica e Informática - CEEI |
pt_BR |
dc.publisher.initials |
UFCG |
pt_BR |
dc.subject.cnpq |
Ciência da Computação. |
pt_BR |
dc.title |
Análise do nível de subjetividade para detecção de farsas em trechos de notícias falsas. |
pt_BR |
dc.date.issued |
2019-11-25 |
|
dc.description.abstract |
While the easy access, very low cost and rapid dissemination of
news through the Internet lead people to consume a huge amount
of information every day, it also creates a big issue that is the wide
spread of fake news. Although there are tons of works regarding
fake news detection, there are very few ones that investigate its
structure deeply. Therefore, to better understand how fake news is
structured, we propose to consider the subjectivity of news under
the premise that the subjectivity levels of legitimate and fake news
are significantly different. For computing the subjectivity level of
news, we rely on a set of subjectivity lexicons built by Brazilian
linguists. We then tagged fake parts of the news articles and split
them by falsehood category. After that, we calculated the Word
Mover’s Distance (WMD) between these parts and the lexicons
to build the subjectivity feature vectors, in order to perform the
experiments.We believe that our findings contribute to the progress
of studies involving fake news detection. |
pt_BR |
dc.identifier.uri |
http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/20434 |
|
dc.date.accessioned |
2021-08-06T16:32:06Z |
|
dc.date.available |
2021-08-06 |
|
dc.date.available |
2021-08-06T16:32:06Z |
|
dc.type |
Trabalho de Conclusão de Curso |
pt_BR |
dc.subject |
Fake News - fragments |
pt_BR |
dc.subject |
Notícias falsas |
pt_BR |
dc.subject |
Confiabilidade de notícias |
pt_BR |
dc.subject |
Projeto Laserterapia - UFCG |
pt_BR |
dc.subject |
Nível de subjetividade - notícias |
pt_BR |
dc.subject |
Subjetividade de notícias |
pt_BR |
dc.subject |
Léxicos de subjetividade |
pt_BR |
dc.subject |
Representação baseada em subjetividade |
pt_BR |
dc.subject |
Distância semântica entre léxicos |
pt_BR |
dc.subject |
Fake News - fragments |
pt_BR |
dc.subject |
False news |
pt_BR |
dc.subject |
News reliability |
pt_BR |
dc.subject |
Laser Therapy Project - UFCG |
pt_BR |
dc.subject |
Subjectivity level - news |
pt_BR |
dc.subject |
News subjectivity |
pt_BR |
dc.subject |
Subjectivity Lexicons |
pt_BR |
dc.subject |
Subjectivity-based representation |
pt_BR |
dc.subject |
Semantic distance between lexicons |
pt_BR |
dc.rights |
Acesso Aberto |
pt_BR |
dc.creator |
VIEIRA, Lucas Lima. |
|
dc.publisher |
Universidade Federal de Campina Grande |
pt_BR |
dc.language |
por |
pt_BR |
dc.title.alternative |
Subjectivity level analysis for detecting fakes in false news snippets. |
pt_BR |
dc.identifier.citation |
VIEIRA, Lucas Lima. Análise do nível de subjetividade para detecção de farsas em trechos de notícias falsas. 2019. 12f. (Trabalho de Conclusão de Curso - Artigo), Curso de Bacharelado em Ciência da Computação, Centro de Engenharia Elétrica e Informática , Universidade Federal de Campina Grande – Paraíba - Brasil, 2019. Disponível em: http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/20434 |
pt_BR |