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Simulating Misinformation Diffusion on Social Media Through CoNVaI: A Textual- and Agent-Based Diffusion Model

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dc.contributor.authorRodríguez García, Raquel
dc.contributor.authorCenteno Sánchez, Roberto
dc.contributor.authorRodrigo Yuste, Álvaro
dc.contributor.funderAgencia Estatal de Investigación (España)
dc.coverage.spatialMontreal, Canada
dc.coverage.temporal2025-08-16
dc.date.accessioned2026-01-22T11:28:27Z
dc.date.available2026-01-22T11:28:27Z
dc.date.issued2025-09
dc.descriptionThe registered version of this conference paper, first published in "Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence Main Track. Pages 248-256", is available online at the publisher's website: https://doi.org/10.24963/ijcai.2025/29
dc.description.abstractMisinformation has experienced increased online diffusion, leveraging strategies, such as emotional manipulation, to influence users' opinions. Efforts are underway to develop tools to mitigate its effects, such as misinformation propagation models used to simulate the diffusion of information. There are different approaches within these models, although, they show a significant limitation by disregarding the content of the information shared, crucial to the diffusion. We consider it the central aspect of modeling information dissemination. To this end, we focus on Agent-Based Modeling due to its suitability to simulate the complex interactions and heterogeneous behaviors observed on social media. We base our approach on a state-of-the-art Agent-Based Model that we modify and extend to account for the texts of the messages shared, focusing on two aspects that influence agents' decisions: i) the novelty of the content and; ii) its diffusion and behavior over time. To determine whether this content proves informative, we conduct an empirical evaluation using social media data from Twitter. Based on our experimental results, we observe that our textual-based approach reflects information diffusion more realistically than the state of the art, reducing the error regarding real diffusion.en
dc.description.provenanceSubmitted by Óscar Soto López (osoto@pas.uned.es) on 2026-01-22T11:28:09Z workflow start=Step: editstep - action:claimaction No. of bitstreams: 1 Rodriguez_Garcia_Raquel_Simulating_CoNVaI_RAQUEL RODRIGUEZ GAR.pdf: 265573 bytes, checksum: 07fd640f817f5784e81f903bcdbbff40 (MD5)en
dc.description.provenanceStep: editstep - action:editaction Approved for entry into archive by Óscar Soto López(osoto@pas.uned.es) on 2026-01-22T11:28:27Z (GMT)en
dc.description.provenanceMade available in DSpace on 2026-01-22T11:28:27Z (GMT). No. of bitstreams: 1 Rodriguez_Garcia_Raquel_Simulating_CoNVaI_RAQUEL RODRIGUEZ GAR.pdf: 265573 bytes, checksum: 07fd640f817f5784e81f903bcdbbff40 (MD5) Previous issue date: 2025-09en
dc.description.versionversión publicada
dc.identifier.citationRodríguez-García, R., Centeno, R. and Rodrigo, Á. (2024), "Simulating Misinformation Diffusion on Social Media Through CoNVaI: A Textual- and Agent-Based Diffusion Model", Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence Main Track, pp. 248-256. https://doi.org/10.24963/ijcai.2025/29
dc.identifier.doihttps://doi.org/10.24963/ijcai.2025/29
dc.identifier.urihttps://hdl.handle.net/20.500.14468/31521
dc.language.isoen
dc.publisherInternational Joint Conferences on Artificial Intelligence
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.congressProceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence Montreal, Canada 16-22 August 2025
dc.relation.departmentLenguajes y Sistemas Informáticos
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Proyectos de I+D+I (Generación de Conocimiento y Retos Investigación)/PID2021-127777OB-C22/ES/MODELOS DE LENGUAJE PROFUNDOS EN LA INTERPRETACION DE LA INFORMACION Y LA DESINFORMACION EN CONTEXTO
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Proyectos Programación Conjunta Internacional/PCI2022-135026-2/ES/HOLISTIC ANALYSIS OF ORGANISED MISINFORMATION ACTIVITY IN SOCIAL NETWORKS
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject1203.17 Informática
dc.subject.keywordsAgent-based and Multi-agent Systems: MAS: Agent-based simulation and emergenceen
dc.subject.keywordsData Mining: DM: Mining text, web, social mediaen
dc.subject.keywordsMultidisciplinary Topics and Applications: MTA: News and mediaen
dc.subject.keywordsMultidisciplinary Topics and Applications: MTA: Web and social networksen
dc.titleSimulating Misinformation Diffusion on Social Media Through CoNVaI: A Textual- and Agent-Based Diffusion Modelen
dc.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
relation.isAuthorOfPublicationa2900f8c-4407-49b3-b9ec-8d68026a29d6
relation.isAuthorOfPublicationf724984c-01b1-4e8d-810e-1b107c938615
relation.isAuthorOfPublication90ababf8-3bd1-44b2-9d12-368f2c6568ac
relation.isAuthorOfPublication.latestForDiscoverya2900f8c-4407-49b3-b9ec-8d68026a29d6
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