IA as a tool to combat disinformation. Approaching a model focused on hoaxes in an electoral context

Authors

DOI:

https://doi.org/10.31921/doxacom.n41a2840

Keywords:

Artificial Intelligence, disinformation, verification, Catalan elections, algorithm

Abstract

Artificial intelligence (AI) has contributed to disinformation through its ability to generate false content. But the potential of this technology can also be focused on designing a prototype tool that detects hoaxes, particularly those amplified in social networks and in electoral contexts and moments of political relevance. This article analyses the main patterns followed by the fake news launched on X during the last Catalan elections (12 May 2024), following criteria such as subject matter, format, origin and dissemination, among others. With the information obtained, an AI resource with the capacity to recognise such content is preliminarily developed. We start from these specific results: the most recurrent topic is immigration, the text plus photograph format predominates, in most cases it comes from profiles registered as any citizen, and the conventional media do not generally participate in its propagation. Based on these guidelines, we propose the main characteristics of an AI system that combines dissemination patterns with analysis of text, images and sentiment, which, together with real-time verification of facts, allows us to filter with a sufficient degree of sensitivity (proportion of hoaxes correctly identified) and specificity (proportion of truthful content erroneously classified as hoaxes).

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Author Biographies

  • Mercedes Herrero de la Fuente, Nebrija University

    PhD in Information Sciences (Complutense University of Madrid), Master’s Degree in Radio Communication (Spanish National Radio-Complutense University of Madrid) and Master’s Degree in Linguistics Applied to the Teaching of Spanish as a Foreign Language (Antonio de Nebrija University). Researcher with an active six-year research period and member of the INNOMEDIA research group. Principal researcher of the Chair in Cinema, Women and Education, promoted by EGEDA (Audiovisual Producers’ Rights Management Association) and Platino Educa. Member of the R+D+I research project COM2GENDER, focusing on digital divides in university education. She has previously participated in other competitive research projects with public funding, including COMPENSA, focused on the labour insertion of people with disabilities in the audiovisual sector. He has been a research fellow at Cornell University (USA), Saldford University (UK), Radboud Universiteit (The Netherlands) and Univerzita Karlova (Czech Republic). She publishes articles in highly indexed journals focusing on: application of technology to news discourse, new professional profiles and women’s participation in the audiovisual sector. She is currently Coordinator of the PhD in Innovation in Digital Communication and Media and an accredited lecturer at the Antonio de Nebrija University. She has been a news producer at Telemadrid for fifteen years.

  • Celia Sancho-Belinchón, Nebrija University

    PhD in Audiovisual Communication, Advertising, and Public Relations. She currently directs the Master’s Degree in Digital and Data Journalism at Antonio de Nebrija University and teaches in the Journalism degree program and the Master’s Degree in Political Communication and Crisis and Emergency Management. Her research interests include journalism, digital communication, social media, social media strategy, fact-checking, and advertising.

  • Jorge Sedeño-López, University of Seville

    PhD in Computer Engineering, Master’s Degree in Information and Communications Technology Management and Computer Engineering from the University of Seville. He has more than twenty years of professional experience in different Public Administrations and belongs to the Senior Corps of Information Systems and Technologies of the State Administration and to the Corps of Experts in Information Technology of the Bank of Spain. His lines of work are oriented towards digital transformation through agile methodologies, e-Government, Data Governance and Artificial Intelligence. He belongs to the ES3 research group (Engineering and Science in Software System) and is a member of the EQUAVEL Project PID2022-137646OB-C31 funded by MICIU/AEI /10.13039/501100011033 and by FEDER, EU. He is a lecturer on the Master’s programme in Digital and Data Journalism at the University of Nebrija, as well as at other public and private institutions.

References

AIMC (2024). Marco General de los Medios en España 2024. https://cutt.ly/Kw2ghBxA

Alandete-Ballester, D. (2019) Fake news: la nueva arma de destrucción masiva: Cómo se utilizan las noticias falsas y los hechos alter¬nativos para desestabilizar la democracia. Deusto.

Arrieta-Castillo, C., y Rubio-Jordán, A. V. (2023). Periodismo de verificación en formato vertical: narrativas multimedia de los verificadores en TikTok. Ámbitos. Revista Internacional De Comunicación, 60, 13-32. https://doi.org/10.12795/Ambitos.2023.i60.01

Badgamia, N. (1 mayo 2023). Explained. AI journalism: Can artificial intelligence replace journalists? WioNews. https://cutt.ly/Rw2gWt3x

Blanco-Marañón, N. (noviembre 2023). Qué diría Aristóteles de la inteligencia artificial. Telos, 123, 35-39. https://cutt.ly/6rWQCBxr

Boletín Oficial del Estado (BOE) (12 julio 2024). Reglamento (UE) 2024/1689 del Parlamento Europeo y del Consejo, de 13 de junio de 2024, por el que se establecen normas armonizadas en materia de inteligencia artificial. https://www.boe.es/buscar/doc.php?id=DOUE-L-2024-81079

Cerezo-Guilarranz, P.(2024). Tendencias 2024. Hacia el final de la web abierta. Programmatic Spain. https://cutt.ly/Sw2gWQTs

Comisión Europea (2018). A multi-dimensional approach to disinformation. https://cutt.ly/Srjh4cNL

Criado-Grande, J.I. (2021). Inteligencia Artificial (y Administración Pública). Eunomía. Revista en Cultura de la Legalidad, 20, 348-372. https://doi.org/10.20318/eunomia.2021.6097

Deeptrace (2019). The state of deepfakes. Landscape, threats and impact. https://sensity.ai/reports/

Devlin, J., Chang, M.W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv, 1810.04805. https://doi.org/10.48550/arXiv.1810.04805

Díez-Garrido, M., Renedo-Farpón, C., y Cano-Orón, L. (2021). La desinformación en las redes de mensajería instantánea. Estudio de las fake news en los canales relacionados con la ultraderecha española en Telegram. Miguel Hernández Communication Journal, 12(2), 467-489. https://doi.org/10.21134/mhjournal.v12i.1292

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, 29, 197-212. https://doi.org/10.31921/doxacom.n29a10

García-Marín, D. (2021). Las fake news y los periodistas de la generación z. Soluciones post-millennial contra la desinformación. Vivat Academia. Revista de Comunicación, 154, 37-63. http://doi.org/10.15178/va.2021.154.e1324

Gobierno de España (2022). Lucha contra las campañas de desinformación en el ámbito de la seguridad nacional. Propuestas de la sociedad civil. https://cutt.ly/VrWQOXJc

González-Quintero, J. I., y Cardona-Restrepo, P.(2023). Post-truth and Social Networks as Challenges for Journalism in the Digital. Ánfora, 30(55), 332-359. https://doi.org/10.30854/anf.v30.n55.2023.977

Hashmi, E., Yayilgan, S.Y., Yamin, M.M., Ali, S., & Abomhara, M. (2024). Advancing Fake News Detection: Hybrid Deep Learning with FastText and Explainable AI. IEEE Access, 12, 44462-44480. https://doi.org/10.1109/ACCESS.2024.3381038

Haz, L., Fajrianti, E.D., Funabiki, N., & Sukaridhoto, S. (14-15 octubre 2023). A Study of Audio-to-Text Conversion Software Using Whispers Model. Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE), Surabaya (Indonesia). https://doi.org/10.1109/ICVEE59738.2023.10348186

Herrero-De-la-Fuente, M., y Ríos-Calvo, C. Construcción de un escenario para la posverdad: redes sociales y desinformación (2022). En A. Pérez-Escoda y J. Rubio-Romero (eds.). Redes sociales, ¿el quinto poder? Una aproximación por ámbitos al fenómeno que ha transformado la comunicación pública y privada (pp.79-97). Tirant lo Blanch.

Home Security Heroes (2024). 2023 State of Deepfakes. https://cutt.ly/QrWQP1Cu

Jacobsen, B.N., & Simpson, J. (2023). The tensions of deepfakes. Information, Communication Society, 27(6), 1095-109. https://doi.org/10.1080/1369118X.2023.2234980

Jeni, L. A., Cohn, J.F., & De La Torre, F. (12 diciembre 2013). Facing Imbalanced Data Recommendations for the Use of Performance Metrics. Humaine Association Conference on Affective Computing and Intelligent Interaction, Ginebra (Suiza). https://doi.org/10.1109/ACII.2013.47

López-López, P.C., Lagares-Díez, N., y Puentes-Rivera, I. (2021). Razón y Palabra, 24(111), 5-11. https://razonypalabra.net/index.php/ryp/article/view/1891/1681

Lopezosa-García, C., Pérez-Montoro, M., y Rey-Martín, C. (2024). El uso de la inteligencia artificial en las redacciones: propuestas y limitaciones. Revista de Comunicación, 23(1), 279-293. https://doi.org/10.26441/RC23.1-2024-3309

Luengo-Cruz, M., y 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, 405-427. https://doi.org/10.1057/s41290-020-00115-w

Maldito Bulo (17 mayo 2024). 14 bulos y desinformaciones sobre las elecciones autonómicas Cataluña del 12 de mayo de 2024. https://cutt.ly/uenhODjL

Moreno-Espinosa, P., Abdulsalam-Alsarayreh, R. A., y Figuereo-Benítez, J. C. (2024). El Big Data y la inteligencia artificial como soluciones a la desinformación. Doxa Comunicación, 38, 437-451. https://doi.org/10.31921/doxacom.n38a2029

Newman, N., Fletcher, R., Eddy, K., Robertson, C.T., & Nielsen, R.K. (2024). Reuters Institute Digital News Report 2023. Reuters Institute, University of Oxford. https://cutt.ly/6rWQSU6x

Peña-Fernández, S., Meso-Ayerdi, K., Larrondo-Ureta, A, y Díaz-Noci, J. (2023). Sin periodistas, no hay periodismo. La dimensión social de la inteligencia artificial generativa en los medios de comunicación. Profesional de la información, 32(2), e320227. https://doi.org/10.3145/epi.2023.mar.27

Priyaa, V. G., Harrish, M. J., Udhayakumar, M., Jothieswaran, N., & Suresh, S. (12-14 abril 2024). EfficientNet-Based Deep Learning Approach for Video Forgery Detection and Authentication. 10th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur (India). https://doi.org/10.1109/ICCSP60870.2024.10544113

Reinsel, J., Gantz, J., & Rydning, D., (2018). The digitization of the world from edge to core. International Data Corporation. https://cutt.ly/frWQDLdu

Rodríguez-Martelo, T., Rúas-Araújo, J., y Maroto-González, I. (2023). Innovation, digitization, and disinformation management in European regional television stations in the Circom network. Profesional de la información, 32(1). https://doi.org/10.3145/epi.2023.ene.12

Ruffo, G., Semeraro, A., Giachanou, A., & Rosso P. (2023) Studying fake news spreading, polarisation dynamics, and manipulation by bots: A tale of networks and language. Computer Science Review, 47. https://doi.org/10.1016/j.cosrev.2022.100531

Sádaba, C., y Salaverría, R. (2023). Combatir la desinformación con alfabetización mediática: análisis de las tendencias en la Unión Europea. Revista Latina de Comunicación Social, 81, 17-33. https://www.doi.org/10.4185/RLCS-2023-1552

Simanjuntak, A., Lumbantoruan, R., Sianipar, K., Gultom, R., Simaremare, M., Situmeang, S., & Panggabean, E. (2024). Research and Analysis of IndoBERT Hyperparameter Tuning in Fake News Detection. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 13(1), 60-67. https://doi.org/10.22146/jnteti.v13i1.8532

Telefónica Tech (26 enero 2018). Machine Learning contra “fake news”. https://cutt.ly/RrWQLvLr

UNESCO (2021). TVETipedia Glossary. UNESCO International Centre for Technical and actional Education and Training. https://cutt.ly/Ew2grz3A

Yang, Y., Zheng, L., Zhang, J., Cui, Q., Li, Z., & Yu, P.S. (2018). TI-CNN: Convolutional neural networks for fake news detection. arXiv,1806.00749. https://doi.org/10.48550/arXiv.1806.00749

Zhang, Z., Lv, Q., Jia, X., Yun, W., Miao, G., Mao, Z., & Wu, G. (2024). GBCA: Graph Convolution Network and BERT combined with Co-Attention for fake news detection. Pattern Recognition Letters,180, 26-32. https://doi.org/10.1016/j.patrec.2024.02.014

Published

01-07-2025

Issue

Section

Monographs

How to Cite

Herrero de la Fuente, M., Sancho Belinchón, C., & Sedeño López, J. (2025). IA as a tool to combat disinformation. Approaching a model focused on hoaxes in an electoral context. Doxa Comunicación. Interdisciplinary Journal of Communication Studies and Social Sciences, 41. https://doi.org/10.31921/doxacom.n41a2840
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