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Computational fact checking from knowledge networks

2015-06-17Journal article Open access
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dc.contributor.authorGiovanni Luca Ciampaglia
dc.contributor.authorPrashant Shiralkar
dc.contributor.authorLuis M. Rocha
dc.contributor.authorJohan Bollen
dc.contributor.authorFilippo Menczer
dc.contributor.authorAlessandro Flammini
dc.date.accessioned2015-10-13T11:48:12Z
dc.date.available2015-10-13T11:48:12Z
dc.date.issued2015-06-17
dc.description.abstractTraditional 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.pt_PT
dc.description.sponsorshipSwiss National Science Foundation fellowship: (142353), Lilly Endowment, the James S. McDonnell Foundation, National Science Foundation grant: (CCF-1101743), Department of Defense grant: (W911NF-12-1-0037).pt_PT
dc.identifier10.1371/journal.pone.0128193
dc.identifier.citationCiampaglia 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.0128193pt_PT
dc.identifier.doi10.1371/journal.pone.0128193
dc.identifier.urihttp://hdl.handle.net/10400.7/393
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherPLOSpt_PT
dc.relation.publisherversionhttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0128193pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectComputer Science - Computers and Societypt_PT
dc.subjectcs.SIpt_PT
dc.subjectPhysics - Physics and Societypt_PT
dc.titleComputational fact checking from knowledge networkspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage13pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titlePLOS Onept_PT
oaire.citation.volume10pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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