CLNews: The First Dataset of the Chilean Social Outbreak for Disinformation Analysis

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dc.catalogadorgrr
dc.contributor.authorProvidel, Eliana
dc.contributor.authorToro, Daniel
dc.contributor.authorRiquelme, Fabián
dc.contributor.authorMendoza Rocha, Marcelo Gabriel
dc.contributor.authorPuraivan, E.
dc.date.accessioned2024-05-28T17:27:14Z
dc.date.available2024-05-28T17:27:14Z
dc.date.issued2022
dc.description.abstractDisinformation is one of the main threats that loom on social networks. Detecting disinformation is not trivial and requires training and maintaining fact-checking teams, which is labor-intensive. Recent studies show that the propagation structure of claims and user messages allows a better understanding of rumor dynamics. Despite these findings, the availability of verified claims and structural propagation data is low. This paper presents a new dataset with Twitter claims verified by fact-checkers along with the propagation structure of retweets and replies. The dataset contains verified claims checked during the Chilean social outbreak, which allows for studying the phenomenon of disinformation during this crisis. We study propagation patterns of verified content in CLNews, showing differences between false rumors and other types of content. Our results show that false rumors are more persistent than the rest of verified contents, reaching more people than truthful news and presenting low barriers of readability to users. The dataset is fully available and helps understand the phenomenon of disinformation during social crises being one of the first of its kind to be released.
dc.description.funderANID Fondecyt
dc.description.funderCentro Nacional de Inteligencia Artificial
dc.description.funderEscuela de Ingeniería Informática
dc.description.funderUniversidad de Valparaíso
dc.fechaingreso.objetodigital2024-05-28
dc.format.extent5 páginas
dc.fuente.origenScopus
dc.identifier.doi10.1145/3511808.3557560
dc.identifier.eisbn9781450392365
dc.identifier.scopusidSCOPUS_ID:85140824261
dc.identifier.urihttps://doi.org/10.1145/3511808.3557560
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/85879
dc.information.autorucEscuela de Ingeniería; Mendoza Rocha, Marcelo Gabriel; 0000-0002-7969-6041; 1237020
dc.language.isoen
dc.nota.accesocontenido completo
dc.pagina.final4398
dc.pagina.inicio4394
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofInternational Conference on Information and Knowledge Management, Proceedings
dc.revistaInternational Conference on Information and Knowledge Management, Proceedings
dc.rightsacceso abierto
dc.subjectdisinformation
dc.subjectpropagation trees
dc.subjectrumor detection
dc.subject.ods16 Peace and Justice Strong Institutions
dc.subject.odspa16 Paz, justicia e instituciones sólidas
dc.titleCLNews: The First Dataset of the Chilean Social Outbreak for Disinformation Analysis
dc.typecomunicación de congreso
sipa.codpersvinculados1237020
sipa.trazabilidadSCOPUS;10-11-2022
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