Redrawing the Lines Against Disinformation: How AI Is Shaping the Present and Future of Fact-checking

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Ciencias da Comunicación
dc.contributor.authorGutiérrez Caneda, Beatriz
dc.contributor.authorVázquez Herrero, Jorge
dc.date.accessioned2025-02-20T13:57:55Z
dc.date.available2025-02-20T13:57:55Z
dc.date.issued2024
dc.description.abstractArtificial intelligence is changing the way our world works, and the journalism and communication field is no exception. The development of high technologies such as NLP or machine learning has modified professional routines, work profiles, and business models. Fact-checking initiatives, which have long battled disinformation, now face a complex context where misleading content grows faster than ever. In this situation, artificial intelligence, or AI, can be a double-edged sword. On the one side, AI-generated content can be created faster than regular content; therefore, there is a huge volume of data to be analysed by fact-checkers. Furthermore, NLP software is not always as reliable as it might be expected. It tends to ‘hallucinate’, creating more misleading content and hoaxes. On the other hand, AI can be a helpful tool in fighting disinformation. This paper analyses 10 independent international fact-checking initiatives through case analysis and questionnaires with fact-checkers. Results show that these sites use AI during different stages of their routines, accelerating processes, simplifying tasks and improving the accuracy of fact-checking results. AI integration shows some risks related to economic restrictions, platform limitations, media distrust, and inequity between countries. To conclude, this research also demonstrates that journalists are still in the loop about fact-checking sites, but more tech profiles and better skills are required
dc.description.peerreviewedSI
dc.description.sponsorshipThis article is part of the R&D project Digital-native media in Spain: Strategies, competencies, social involvement and (re)definition of practices in journalistic production and diffusion (PID2021-122534OB-C21), funded by MICIU/AEI/10.13039/501100011033 and by “ERDF/EU” and within the activities of IBERIFIER, funded by the European Commission (call CEF-TC-2020–2; European Digital Media Observatory) under grant 2020-EU-IA-0252. The author Beatriz Gutiérrez-Caneda is beneficiary of a predoctoral contract funded by Axudas de apoio á etapa predoutoral 2022 GAIN of the Xunta de Galicia, with file number ED481A 2022/209
dc.identifier.citationGutiérrez-Caneda, B., & Vázquez-Herrero, J. (2024). Redrawing the Lines Against Disinformation: How AI Is Shaping the Present and Future of Fact-checking. Tripodos, (55), 55–74. https://doi.org/10.51698/tripodos.2024.55.04
dc.identifier.doi10.51698/tripodos.2024.55.04
dc.identifier.essn2340-5007
dc.identifier.urihttps://hdl.handle.net/10347/39785
dc.issue.number55
dc.journal.titleTripodos
dc.language.isoeng
dc.page.final77
dc.page.initial55
dc.publisherUniversitat Ramon Llull. Facultat de Comunicació Blanquerna
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/ Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2021-122534OB-C21/ES/MEDIOS NATIVOS DIGITALES EN ESPAÑA: ESTRATEGIAS, COMPETENCIAS, IMPLICACION SOCIAL Y (RE)DEFINICION DE PRACTICAS EN LA PRODUCCION Y DIFUSION PERIODISTICAS/
dc.relation.publisherversionhttps://doi.org/10.51698/tripodos.2024.55.04
dc.rightsCopyright (c) 2024 Tripodos. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectFact-checking
dc.subjectArtificial intelligence
dc.subjectHi-tech journalism
dc.subjectDisinformation
dc.titleRedrawing the Lines Against Disinformation: How AI Is Shaping the Present and Future of Fact-checking
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication06abe9ef-3f76-4b8f-a1f8-d907f3db212e
relation.isAuthorOfPublication.latestForDiscovery06abe9ef-3f76-4b8f-a1f8-d907f3db212e

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