Impact and diversity in the use of generative artificial intelligence tools in journalism and communication: a comparative analysis
DOI:
https://doi.org/10.31921/doxacom.n41a2875Keywords:
Artificial Intelligence, journalism, communication, professional effectiveness, professional developmentAbstract
This research analyses the impact on the perception professional effectiveness, satisfaction and differences in the use of artificial intelligence (AI) tools by journalists and communicators in Ecuador. A structured questionnaire was used to collect data from 150 journalists and communicators from various specialties. The instrument included sections on AI use, perception of effectiveness, satisfaction and interest in training. The results revealed a positive correlation between the frequency of use of AI tools and user satisfaction. The respondents who use AI daily reported the highest levels of acquiescence, suggesting that familiarity and competence acquired through regular use contribute significantly to satisfaction. The study showed that journalists and content creators use AI for article writing, while marketers have a more diversified use, including research and data analysis. Also, radio broadcasters and photographers prefer AI tools for editing multimedia content. These findings underline the importance of developing specific training programmes adapted to the journalistic and communication field, as well as the need for guidelines for an ethical and relevant use of specialised AI tools.
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Al-Kfairy, M. (2025). Strategic integration of generative AI in organizational settings: Applications, challenges and adoption requirements. IEEE Engineering Management Review. https://doi.org/10.1109/EMR.2025.3534034
Beckett, C. (2023). Artificial intelligence and journalism: Understanding the potential and risks. Reuters Institute for the Study of Journalism.
Bhooma, V. G., Kumar, R. R., Paramasivan, K., & Kamalanabhan, T. J. (2025). Transforming traditions: How training shapes employee acceptance of digital transformation in a large legacy government workforce. Cogent Social Sciences, 11(1), 2461744. https://doi.org/10.1080/23311886.2025.2461744
Cabral, E. (2024, April 9). ¿Qué hacer (y qué no) para implementar la inteligencia artificial en el periodismo? IJNet: Red Internacional de Periodistas. https://bit.ly/cabral2024
Calvo-Rubio, L.-M., y Ufarte-Ruiz, M.-J. (2020). Percepción de docentes universitarios, estudiantes, responsables de innovación y periodistas sobre el uso de inteligencia artificial en periodismo. El Profesional de La Información, 29(1), 1–14. https://doi.org/10.3145/epi.2020.ene.09
Canavilhas, J., y Giacomelli, F. (2023). Inteligencia artificial en el periodismo deportivo: Estudio en Brasil y Portugal. Revista de Comunicación, 22(1), 53–69. https://doi.org/10.26441/rc22.1-2023-3005
Carlson, M. (2023). Automating judgment? Algorithmic journalism and the redefinition of journalistic authority. Digital Journalism, 11(2), 145–163. https://doi.org/10.1177/1461444817706684
Cascante, L. F. (2024, agosto 26). Operación Retuit: Presentadores creados con inteligencia artificial para combatir la censura en Venezuela. iJNet: Red Internacional de Periodistas. https://bit.ly/cascante2024
Chauvet, R. (2024, March 28). La IA despierta esperanzas y temores en los medios locales. IJNet: Red Internacional de Periodistas. https://bit.ly/chauvet2024
Davis, F. D., Bagozzi, R. P., y Warshaw, P. R. (1989). User acceptance of user technology: A comparison of two theoretical models. Management Science, 35(8), 982-1002. https://doi.org/10.1287/mnsc.35.8.982
DeSanctis, G., y Poole, M. (1994). Capturing the complexity in advanced technology use: Adaptive structuration theory. Organization Science, 5(2), 121-147. https://doi.org/10.1287/orsc.5.2.121
Essenfelder, R., Canavilhas, J., Maia, H. C., y Pinto, R. J. (2019). Automatización de textos periodísticos en la televisión brasileña: Estudio de caso del sistema AIDA (Globo-Brasil). Doxa Comunicación, 29, 255-274. https://doi.org/10.31921/doxacom.n29a13
Fernández Rincón, A. R. (2023). El creativo invisible: Inteligencia artificial y creación publicitaria. Miguel Hernández Communication Journal, 14(2), 391-408. https://doi.org/10.21134/mhjournal.v14i.1983
Franganillo, J. (2023b). El uso de modelos generativos en el periodismo escrito y audiovisual: Un nuevo paradigma en la creación de contenidos. En F. J. Martínez Cano y A. M. Sáez de Urabain (Eds.), Galaxia Zuckerberg: La comunicación en la era digital (pp. 249-269). Tirant lo Blanch. https://bit.ly/fraganillo2023
Gangadharaiah, R., Brooks, J. O., Rosopa, P. J., Su, H., Boor, L., Edgar, A., Kolodge, K., & Jia, Y. (2023). The development of the pooled rideshare acceptance model (PRAM). Safety, 9(3), 61. https://doi.org/10.3390/safety9030061
García Sánchez, O. V. (2023). Uso y percepción de ChatGPT en la educación superior. Revista De Investigación En Tecnologías De La Información, 11(23), 98–107. https://doi.org/10.36825/RITI.11.23.009
Gómez-Calderón, B., y Ceballos, Y. (2024). Periodismo e inteligencia artificial. El tratamiento de los chatbots en la prensa española. Index.Comunicación, 14(1), 281-300. https://doi.org/10.62008/ixc/14/01Period
Gutiérrez-Caneda, B., Lindén, C.-G., & Vázquez-Herrero, J. (2024). Ethics and journalistic challenges in the age of artificial intelligence: Talking with professionals and experts. Frontiers in Communication, 9, Article 1465178. https://doi.org/10.3389/ fcomm.2024.1465178
Hwang, I., & Seo, R. (2024). Organizational support for digital transformation in the metaverse: A contingent pathway from user experience to digitalization resistance. R&D Management, 55(2), 420–434. https://doi.org/10.1111/radm.12706
Ienca, M. (2023). On Artificial Intelligence and Manipulation. Topoi, 42(3), 833–842. https://doi.org/10.1007/s11245-023-09940-3
Jaruga-Rozdolska, A. (2022). Artificial intelligence as part of future practices in the architect’s work: MidJourney generative tool as part of a process of creating an architectural form. Architectus, 3(71), 95-104. https://doi.org/10.37190/arc220310
Kacperski, C., Ulloa, R., Bonnay, D., Kulshrestha, J., Selb, P., & Spitz, A. (2025). Characteristics of ChatGPT users from Germany: Implications for the digital divide from web tracking data. PLOS ONE, 20(1), e0309047. https://doi.org/10.1371/journal. pone.0309047
Kidd, J., & Nieto McAvoy, E. (2023). Deep nostalgia: Remediated memory, algorithmic nostalgia, and technological ambivalence. Convergence, 29(3), 620–640. https://doi.org/10.1177/13548565221149839
Kong, H., Jiang, X., Zhou, X., Baum, T., Li, J., y Yu, J. (2024). Influence of artificial intelligence (AI) perception on career resilience and informal learning. Tourism Review, 79(1), 219-233. https://doi.org/10.1108/TR-10-2022-0521
Mayoral-Sánchez, J., Parratt-Fernández, S., & Mera-Fernández, M. (2023). Uso periodístico de la IA en medios de comunicación españoles: mapa actual y perspectivas para un futuro inmediato. Estudios sobre el Mensaje Periodístico, 29(4), 821–832. https://doi.org/10.5209/esmp.89193
McCausland, E., y Salgado, D. (2022, August 10). ¿Sueñan los androides con ovejas eléctricas? Este es el arte que ya está creando la IA. El Grito. https://bit.ly/mcausland2022
Murcia Verdú, F. J., Ramos Antón, R., y Calvo Rubio, L. M. (2022). Análisis comparado de la calidad de crónicas deportivas elaboradas por inteligencia artificial y periodistas. Revista Latina de Comunicación Social, 80, 91-111. https://doi.org/10.4185/ rlcs-2022-1553
Napoli, P. (2019). Social Media and the Public Interest: Media Regulation in the Disinformation Age. New York Chichester, West Sussex: Columbia University Press. https://doi.org/10.7312/napo18454
Newman, N. (2024). Journalism, media, and technology trends and predictions 2024. Reuters Institute for the Study of Journalism. https://doi.org/10.60625/risj-0s9w-z770
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Opdahl, A. L., Tessem, B., Dang-Nguyen, D.-T., Motta, E., Setty, V., Throndsen, E., Tverberg, A., y Trattner, C. (2023). Trustworthy journalism through AI. Data y Knowledge Engineering, 146, 102182. https://doi.org/10.1016/j.datak.2023.102182
Orlikowski, W. J. (2000). Using technology and constituting structures: A practice lens for studying technology in organizations. Organization Science, 11(4), 404–428. https://doi.org/10.1287/orsc.11.4.404.14600
Pinilla Escobar, F. A., & Valle Jiménez, D. (2025). Inteligencia artificial y periodismo en tiempos de incertidumbre y volatilidad. Disertaciones: Anuario Electrónico de Estudios en Comunicación Social, 18(1), 1–16. https://doi.org/10.12804/revistas.urosario. edu.co/disertaciones/a.14288
Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). Free Press.
Rojas Torrijos, J. L., & Toural Bran, C. (2019). Periodismo deportivo automatizado. Estudio de caso de AnaFut, el bot desarrollado por El Confidencial para la escritura de crónicas de fútbol. Doxa Comunicación. Revista Interdisciplinar de Estudios de Comunicación y Ciencias Sociales, (29), 235–254. https://doi.org/10.31921/doxacom.n29a12
Ross, A. D., Siebeneck, L., Wu, H.-C., Kopczynski, S., Nepal, S., & Sauceda, M. (2024). Seven challenges for risk communication in today’s digital era: The emergency manager’s perspective. Sustainability, 16(24), 11306. https://doi.org/10.3390/su162411306
Saad, E., & Carneiro dos Santos, M. (2023). Jornalismo, inteligência artificial e desinformação: avaliação preliminar do potencial de utilização de ferramentas de geração de linguagem natural, a partir do modelo GPT, para difusão de notícias falsas. Estudios sobre el Mensaje Periodístico, 29(4), 783–794. https://doi.org/10.5209/esmp.87965
Shaw, R. (2021). Uso de inteligencia artificial en los medios de comunicación de América Latina. El Clip. https://bit.ly/shawr2021
Shi, Y., & Sun, L. (2024). How Generative AI Is Transforming Journalism: Development, Application and Ethics. Journalism and Media, 5(2), 582-594. https://doi.org/10.3390/journalmedia5020039
Simon, F. M. (2024). Artificial intelligence in the news: how AI retools, rationalizes, and reshapes journalism and the public arena. Tow Center for Digital Journalism at Columbia University. https://bit.ly/simonf2024
Stark, L. (2024). Animation and artificial intelligence. Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’24), June 3–6, 2024, Rio de Janeiro, Brazil. ACM. https://doi.org/10.1145/3630106.3658995
Tejedor Calvo, S., Cervi, L., & Vick Saurí, S. (2025). Cómo están adoptando la IA las empresas de comunicación. Comunicación Y Sociedad, 1–27. https://doi.org/10.32870/cys.v2025.8846
Tejedor, S., y Vila, P. (2021). Exo journalism: A conceptual approach to a hybrid formula between journalism and artificial intelligence. Journalism and Media, 2(4), 830-840. https://doi.org/10.3390/journalmedia2040048
Trang, T. T. N., Thang, P. C., Hai, L. D., Phuong, V. T., & Quy, T. Q. (2024). Understanding the adoption of artificial intelligence in journalism: An empirical study in Vietnam. SAGE Open, 14(2), 1–16. https://doi.org/10.1177/21582440241255241
Túñez, M., Martínez-Solana, Y., & Abejón-Mendoza, P. (2020). Herramientas de inteligencia artificial en el trabajo periodístico: percepciones y actitudes de los profesionales. El Profesional de la Información, 29(4), e290423. https://doi.org/10.3145/epi.2020. jul.23
Udo, G. J., Bagchi, K. K., & Kirs, P. (2023). Does social capital play a role in information and communication technology adoption? Issues in Information Systems, 24(4), 208–219. https://doi.org/10.48009/4_iis_2024_116
Ufarte Ruiz, M. J., & Manfredi Sánchez, J. L. (2019). Algoritmos y bots aplicados al periodismo. El caso de Narrativa Inteligencia Artificial: estructura, producción y calidad informativa. Doxa Comunicación, 29, 213–233. https://doi.org/10.31921/doxacom. n29a11
UNESCO, & IRCAI. (2024). Challenging systematic prejudices: An investigation into gender bias in large language models. UNESCO; International Research Centre on Artificial Intelligence (IRCAI). https://bit.ly/UNESCO2024
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
Zamith, R. (2021). Quantified audiences in news production: A synthesis and research agenda. Digital Journalism, 9(9), 1106– 1125. https://doi.org/10.1080/21670811.2018.1444999
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