Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.7/393
Título: Computational fact checking from knowledge networks
Autor: Giovanni Luca Ciampaglia
Prashant Shiralkar
Luis M. Rocha
Johan Bollen
Filippo Menczer
Alessandro Flammini
Palavras-chave: Computer Science - Computers and Society
cs.SI
Physics - Physics and Society
Data: 17-Jun-2015
Editora: PLOS
Citação: Ciampaglia GL, Shiralkar P, Rocha LM, Bollen J, Menczer F, Flammini A (2015) Computational Fact Checking from Knowledge Networks. PLoS ONE 10(6): e0128193. doi:10.1371/ journal.pone.0128193
Resumo: Traditional fact checking by expert journalists cannot keep up with the enormous volume of information that is now generated online. Computational fact checking may significantly enhance our ability to evaluate the veracity of dubious information. Here we show that the complexities of human fact checking can be approximated quite well by finding the shortest path between concept nodes under properly defined semantic proximity metrics on knowledge graphs. Framed as a network problem this approach is feasible with efficient computational techniques. We evaluate this approach by examining tens of thousands of claims related to history, entertainment, geography, and biographical information using a public knowledge graph extracted from Wikipedia. Statements independently known to be true consistently receive higher support via our method than do false ones. These findings represent a significant step toward scalable computational fact-checking methods that may one day mitigate the spread of harmful misinformation.
Peer review: yes
URI: http://hdl.handle.net/10400.7/393
DOI: 10.1371/journal.pone.0128193
Versão do Editor: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0128193
Aparece nas colecções:CASCB- Artigos

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
journal.pone.0128193.pdfartigo principal2,93 MBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.