Claim Behavior over Time in Twitter

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dc.contributor.authorWeiss, Fernanda
dc.contributor.authorEspinoza, Ignacio
dc.contributor.authorHurtado Gonzalez Julio Andres
dc.contributor.authorMendoza Rocha Marcelo Gabriel
dc.contributor.authorMeiselwitz, G
dc.date.accessioned2024-01-10T14:24:37Z
dc.date.available2024-01-10T14:24:37Z
dc.date.issued2019
dc.description.abstractSocial media is the primary source of information for many people around the world, not only to know about their families and friends but also to read about news and trends in different areas of interest. Fake News or rumors can generate big problems of misinformation, being able to change the mindset of a large group of people concerning a specific topic. Many companies and researchers have put their efforts into detecting these rumors with machine learning algorithms creating reports of the influence of these "news" in social media (https://www.knightfoundation.org/reports/disinformation-fake-news-and-influence-campaigns-on-twitter). Only a few studies have been made in detecting rumors in real-time, considering the first hours of propagation. In this work, we study the spread of a claim, analyzing different characteristics and how propagation patterns behave in time. Experiments show that rumors have different behaviours that can be used to classify them within the first hours of propagation.
dc.description.funderMillennium Institute for Foundational Research on Data
dc.description.funderproject BASAL
dc.fechaingreso.objetodigital2024-04-18
dc.format.extent12 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1007/978-3-030-21902-4_33
dc.identifier.eisbn978-3-030-21902-4
dc.identifier.eissn1611-3349
dc.identifier.isbn978-3-030-21901-7
dc.identifier.issn0302-9743
dc.identifier.urihttps://doi.org/10.1007/978-3-030-21902-4_33
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/80247
dc.identifier.wosidWOS:000656421300033
dc.information.autorucEscuela de Ingeniería; Mendoza Rocha Marcelo Gabriel; S/I; 1237020
dc.information.autorucEscuela de Ingeniería; Hurtado Gonzalez Julio Andres; S/I; 249905
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final479
dc.pagina.inicio468
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.relation.ispartof11th International Conference on Social Computing and Social Media (SCSM) Held as Part of the 21st International Conference on Human-Computer Interaction (HCI International), JUL 26-31, 2019, Orlando, FL
dc.rightsacceso restringido
dc.subjectFake news
dc.subjectEarly detection
dc.subjectSocial media
dc.subjectRumor detection
dc.titleClaim Behavior over Time in Twitter
dc.typecomunicación de congreso
dc.volumen11578
sipa.codpersvinculados1237020
sipa.codpersvinculados249905
sipa.indexWOS
sipa.trazabilidadCarga SIPA;09-01-2024
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