Deepfakes and Fact-checking
Influence of AI on the Disinformation Ecosystem from the Perspective of Fact- checkers and Academics
DOI:
https://doi.org/10.62161/revvisual.v18.6137Keywords:
Inteligencia artificial, Deepfakes, Desinformación, Fact-checking, Fake news, Periodismo, Verificación informativaAbstract
This study aims to analyse the uses and impact of artificial intelligence—particularly deepfakes—in disinformation campaigns, as well as the utility and potential of this technology in combating disinformation. Semi-structured interviews were conducted with 16 fact-checkers and experts in AI and disinformation in the Spanish context, and the data were analysed using grounded theory. The findings highlight how deepfakes play both a symbolic and an operational role in the disinformation ecosystem. Their influence extends beyond the generation of disinformation to affect the broader social perception of reality through strategies such as false-flag marketing and phenomena including the liar’s dividend and enshittification.
Downloads
Global Statistics ℹ️
|
26
Views
|
6
Downloads
|
|
32
Total
|
|
References
Asiri, A., Panday-Shukla, P., Rajeh, H. S., & Yu, Y. (2021). Broadening perspectives on CALL teacher education: From technocentrism to integration. TESL-EJ, 24(4).
Ahumada, R., Aravena-Winkler, M., & Sacomori, C. (2025). Social representations of interdisciplinary work from the perspectives of students and clinical tutors on a cardiovascular rehabilitation program in Chile. International Journal of Educational Research Open, 9, 100515. https://doi.org/10.1016/j.ijedro.2025.100515
Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31(2), 211–236. https://doi.org/10.1257/jep.31.2.211
Arias Jiménez, B., Rodríguez-Hidalgo, C., Mier-Sanmartín, C., & Coronel-Salas, G. (2023). Use of chatbots for news verification. In P. C. López-López, D. Barredo, Á. Torres-Toukoumidis, A. De-Santis, & Ó. Avilés (Eds.), Communication and applied technologies (Vol. 318). Springer. https://doi.org/10.1007/978-981-19-6347-6_12
Bastos, M. T., & Mercea, D. (2019). The Brexit botnet and user-generated hyperpartisan news. Social Science Computer Review, 37(1), 38–54. https://doi.org/10.1177/0894439317734157
Bontridder, N., & Poullet, Y. (2021). The role of artificial intelligence in disinformation. Data & Policy, 3(3), 1–21. https://doi.org/10.1017/dap.2021
Brandtzaeg, P. B., Følstad, A., & Chaparro-Domínguez, M.-Á. (2018). How journalists and social media users perceive online fact-checking and verification services. Journalism Practice, 12(9), 1109–1129. https://doi.org/10.1080/17512786.2017.1363657
Chesney, R., & Citron, D. K. (2019). Deep fakes: A looming challenge for privacy, democracy, and national security. California Law Review, 107, 1753–1820. https://scholarship.law.bu.edu/faculty_scholarship/640
Ciampaglia, G. L. (2018). Fighting fake news: A role for computational social science in the fight against digital misinformation. Journal of Computational Social Science, 1(1), 147–153. https://doi.org/10.1007/s42001-017-0005-6
Cools, H., & de Vreese, C. H. (2025). From Automation to Transformation with AI-Tools: Exploring the Professional Norms and the Perceptions of Responsible AI in a News Organization. Digital Journalism, 1–20. https://doi.org/10.1080/21670811.2025.2505982
Cools, H., & Diakopoulos, N. (2024). Uses of Generative AI in the Newsroom: Mapping Journalists’ Perceptions of Perils and Possibilities. Journalism Practice, 1–19. https://doi.org/10.1080/17512786.2024.2394558
Cuartielles, R., Mauri-Ríos, M. & Rodríguez-Martínez, R. (2024). Transparencia en el uso de la IA en las plataformas de fact-checking en España y sus desafíos éticos. Communication & Society, 37(4), 257-271. https://doi.org/10.15581/003.37.4.257-271
Deuze, M., & Beckett, C. (2022). Imagination, Algorithms and News: Developing AI Literacy for Journalism. Digital Journalism, 10(10), 1913–1918. https://doi.org/10.1080/21670811.2022.2119152
Dobber, T., Metoui, N., Trilling, D., Helberger, N., & de Vreese, C. (2021). Do (microtargeted) deepfakes have real effects on political attitudes? The International Journal of Press/Politics, 26(1), 69–91. https://doi.org/10.1177/19401612209443
Dodds, T., Zamith, R., & Lewis, S. C. (2025). The AI turn in journalism: Disruption, adaptation, and democratic futures. Journalism. https://doi.org/10.1177/14648849251343518
Flores Vivar, J. M. (2019). Inteligencia artificial y periodismo: diluyendo el impacto de la desinformación y las noticias falsas a través de los bots. Doxa Comunicación. Revista Interdisciplinar de Estudios de Comunicación y Ciencias Sociales, 29, 197-212. https://doi.org/10.31921/doxacom.n29a10
Flores-Vivar, J. M. (2020). Datos masivos, algoritmización y nuevos medios frente a desinformación y fake news. Bots para minimizar el impacto en las organizaciones. Comunicación y Hombre, 16, 101–114.
https://doi.org/10.32466/eufv-cyh.2020.16.601.101-114
Gamir-Ríos, J. & Tarullo, R. (2022). Predominio de las cheapfakes en redes sociales. Complejidad técnica y funciones textuales de la desinformación desmentida en Argentina durante 2020. AdComunica, (23), 97-118. https://doi.org/10.6035/adcomunica.6299
García de Torres, E., Ramos, G., Yezers’ ka, L., Gonzales, M., Higuera, L., & Herrera, C. (2025). The use and ethical implications of artificial intelligence, collaboration, and participation in local Ibero-American newsrooms. Frontiers in Communication, 10, 1539844. https://doi.org/10.3389/fcomm.2025.1539844
García-Marín D. (2022). Modelos algorítmicos y fact-checking automatizado. Revisión sistemática de la literatura. Documentación de las Ciencias de la Información, 45(1), 7-16. https://doi.org/10.5209/dcin.77472
García-Marín, D. (2025). Desinformación y fact-checking en la era de la IA. Ediciones CIESPAL.
García-Marín, D., Suárez-Álvarez, R., & García-Jiménez, A. (2025). “Todo parece veraz”. Credibilidad de la desinformación producida usando IA desde la perspectiva de los estudiantes de comunicación en España. Revista De Comunicación, 24(2), 183–227. https://doi.org/10.26441/RC24.2-2025-3872
Garcí¬a-Ull, F.-J., & Melero-Lázaro, M. (2023). Gender stereotypes in AI-generated images. Profesional de la información, 32(5). https://doi.org/10.3145/epi.2023.sep.05
Graves, L. (2016). Deciding what’s true: The rise of political fact-checking in American journalism. Columbia University Press.
Graves, L., & Lauer, L. (2020). From movement to institution: The "Global Fact" Summit as a field-configuring event. Sociologica, 14(2), 157–174. https://doi.org/10.6092/issn.1971-8853/11154
Gregory, S. (2021). Deepfakes, misinformation and disinformation and authenticity infrastructure responses: Impacts on frontline witnessing, distant witnessing, and civic journalism. Journalism, 23(3), 708–729. https://doi.org/10.1177/14648849211060644
Gutiérrez-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
Hancock, J. T., & Bailenson, J. N. (2021). The social impact of deepfakes. Cyberpsychology, Behavior and Social Networking, 24(3), 149–152. https://doi.org/10.1089/cyber.2021.29208.jth
Hao, K. (2020, October 20). A deepfake bot is being used to ‘‘undress’’ underage girls. MIT Technology Review. https://www.technologyreview.com/2020/10/20/1010789/aideepfake-bot-undresses-women-and-underagegirls/
Kalpokas, I., & Kalpokiene, J. (2022). On alarmism: Between infodemic and epistemic anarchy. In I. Kalpokas & J. Kalpokiene (Eds.), Deepfakes: A realistic assessment of potentials, risks, and policy regulation (pp. 41–53). Springer.
Köbis, N. C., Doležalová, B., & Soraperra, I. (2021). Fooled twice: People cannot detect deepfakes but think they can. iScience, 24(11), 103364. https://doi.org/10.1016/j.isci.2021.103364
Luengo, M., & García-Marín, D. (2020). The performance of truth: Politicians, fact-checking journalism, and the struggle to tackle COVID-19 misinformation. American Journal of Cultural Sociology, 8(3), 405–427. https://doi.org/10.1057/s41290-020-00115-w
Maslej, N., Fattorini, L., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Ngo, H., Niebles, J. C., Parli, V., Shoham, Y., Wald, R., Clark, J., & Perrault, R. (2023). The AI Index 2023 Annual Report. AI Index Steering Committee, Institute for Human-Centered AI, Stanford University. https://aiindex.stanford.edu/report
Moreno Espinosa, P., Abdulsalam Alsarayreh, R. A., & Figuereo Benítez, J. C. (2024). El Big Data y la inteligencia artificial como soluciones a la desinformación. Doxa Comunicación. Revista Interdisciplinar de Estudios de Comunicación y Ciencias Sociales, 38, 437-451. https://doi.org/10.31921/doxacom.n38a2029
Morosoli, S., Resendez, V., Naudts, L., Helberger, N., & de Vreese, C. (2025). “I Resist”. A Study of Individual Attitudes Towards Generative AI in Journalism and Acts of Resistance, Risk Perceptions, Trust and Credibility. Digital Journalism, 1–20. https://doi.org/10.1080/21670811.2024.2435579
Moscovici, S. (1979). El psicoanálisis, su imagen y su público. Huemul.
O’Connor, C. (2022). TikTok is at the forefront of Russia’s propaganda war. https://www.isdglobal.org/isd-in-the-news/ciaran-oconnor-tiktok-is-at-the-forefront-of-russias-propaganda-war/
Pasquetto, I. V., Jahani, E., Atreja, S., & Baum, M. (2022). Social debunking of misinformation on WhatsApp: The case for strong and in-group ties. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1), 1–35. https://doi.org/10.1145/3512964
Quandt, T., Frischlich, L., Boberg, S., & Schatto-Eckrodt, T. (2019). Fake news. The International Encyclopedia of Journalism Studies, 1–6. https://doi.org/10.1002/9781118841570.iejs0128
Rubin, V. L. (2022). Misinformation and disinformation: Detecting fakes with the eye and AI. Springer.
Salaverría, R., Buslón, N., López-Pan, F., León, B., López-Goñi, I., & Erviti, M.-C. (2020). Desinformación en tiempos de pandemia: Tipología de los bulos sobre la Covid-19. Profesional de la Información, 29(3), e290315. https://doi.org/10.3145/epi.2020.may.15
Salvat-Martinrey, G., García-Marín, D., & Zorogastua, J. (2024). La inteligencia artificial generativa y su impacto en el sector de la comunicación. Percepción de los futuros profesionales. RAE-IC, Revista de la Asociación Española de Investigación de la Comunicación, 11, raeic11e06. https://doi.org/10.24137/raeic.11.e.6
Sánchez-González, M., Sánchez-Gonzales, H.M., & Martínez-Gonzalo, S. (2022). Inteligencia artificial en verificadores hispanos de la red IFCN: proyectos innovadores y percepción de expertos y profesionales. Estudios sobre el Mensaje Periodístico, 28(4), 867-879. https://dx.doi.org/10.5209/esmp.82735
Santos, F. C. C. (2023). Artificial intelligence in automated detection of disinformation: A thematic analysis. Journalism and Media, 4(2), 679–687. https://doi.org/10.3390/journalmedia4020043
Strauss, A. L., & Corbin, J. (2002). Bases de la investigación cualitativa: Técnicas y procedimientos para desarrollar la teoría fundada. Editorial Universidad de Antioquia.
Tahir, R., Batool, B., Jamshed, H., Jameel, M., Anwar, M., Ahmed, F., Zaffar, M. A., & Zaffar, M. F. (2021). Seeing is believing: Exploring perceptual differences in deepfake videos. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.
Tandoc Jr., E. C., Lim, Z.-W., & Ling, R. (2018). Defining ‘fake news’. Digital Journalism, 6(2), 137–153. https://doi.org/10.1080/21670811.2017.1360143
Torcal, M., & Magalhaes, P. C. (2022). Ideological extremism, perceived party system polarization, and support for democracy. European Political Science Review, 14(2), 188–205. https://doi.org/10.1017/S1755773922000066
Wahl-Jorgensen, K., & Carlson, M. (2021). Conjecturing fearful futures: Journalistic discourses on deepfakes. Journalism Practice, 15(6), 803–820. https://doi.org/10.1080/17512786.2021.1908838
Wardle, C. (2019). First draft’s essential guide to understanding information disorder. First Draft. https://firstdraftnews.org/wp-content/uploads/2019/10/Information_Disorder_Digital_AW.pdf
Wardle, C., & Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policymaking. Consejo de Europa. https://rm.coe.int/information-disorder-toward-an-interdisciplinary-framework-for-researc/168076277c
Weikmann, T., & Lecheler, S. (2023). Cutting through the hype: Understanding the implications of deepfakes for the fact-checking actor-network. Digital Journalism, 12(10), 1505–1522. https://doi.org/10.1080/21670811.2023.2194665
WHO. World Health Organization. (2020). Novel coronavirus (2019-nCoV). Situation report - 13. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200202-sitrep-13-ncov-v3.pdf
Wu, S. (2024). Journalists as individual users of artificial intelligence: Examining journalists’ “value-motivated use” of ChatGPT and other AI tools within and without the newsroom. Journalism. https://doi.org/10.1177/14648849241303047
Wu, S., Tandoc, E. C., & Salmon, C. T. (2018). Journalism Reconfigured: Assessing human–machine relations and the autonomous power of automation in news production. Journalism Studies, 20(10), 1440–1457. https://doi.org/10.1080/1461670X.2018.1521299
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Authors retain copyright and transfer to the journal the right of first publication and publishing rights

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Those authors who publish in this journal accept the following terms:
-
Authors retain copyright.
-
Authors transfer to the journal the right of first publication. The journal also owns the publishing rights.
-
All published contents are governed by an Attribution-NoDerivatives 4.0 International License.
Access the informative version and legal text of the license. By virtue of this, third parties are allowed to use what is published as long as they mention the authorship of the work and the first publication in this journal. If you transform the material, you may not distribute the modified work. -
Authors may make other independent and additional contractual arrangements for non-exclusive distribution of the version of the article published in this journal (e.g., inclusion in an institutional repository or publication in a book) as long as they clearly indicate that the work was first published in this journal.
- Authors are allowed and recommended to publish their work on the Internet (for example on institutional and personal websites), following the publication of, and referencing the journal, as this could lead to constructive exchanges and a more extensive and quick circulation of published works (see The Effect of Open Access).








