Articles for Vol. 20, Issue 2 (Jul-Dec, 2027) + Open Section "Avances"

Posted on 2025-12-16

In a context of accelerated adoption of generative artificial intelligence (AI) in newsrooms, university classrooms, and digital platforms, the special issue "Journalism in the Age of Generative AI: Integrity, Training, and Public Trust" seeks to reflect on the dilemmas and opportunities that these technologies present for journalism education and the future of the profession. The use of generative AI in content production raises urgent questions about authorship, professional ethics, plagiarism, critical thinking, and creativity. At the same time, it opens up professional opportunities related to verification, analysis, and audience engagement in algorithm-mediated environments, as well as pedagogical innovation (such as AI journals or transparency practices). Now is the time to educate in and for AI.

We invite contributions that analyze, from theoretical, empirical, or methodological perspectives, how AI is transforming journalistic practice, university teaching for the training of new journalists, and public trust in the media.

Introduction

The emergence of generative artificial intelligence has radically transformed both journalistic practices and training processes in universities. Tools like ChatGPT, Gemini, and many others have gone from being seen as a curiosity to becoming standard assistants for researching, writing, editing, and producing content.

This process opens up new opportunities, but it also generates dilemmas surrounding journalistic integrity (plagiarism, false citations, authorship), and the critical and creative skills of students and professionals. Similarly, it proposes innovative teaching methods and pedagogical strategies for integrating these tools into the classroom, and addresses public trust in a media ecosystem increasingly mediated by algorithms.

This dossier seeks to gather contributions that analyze, from different perspectives, the challenges and possibilities of generative AI in journalistic training and practice, as well as its impact on the relationship between media, audiences, and society.

This scenario generates challenges and dilemmas:

  • Plagiarism and false citations that call into question the authorship and integrity of academic and journalistic work.
  • Decline in critical thinking skills in students and professionals who rely excessively on AI for their cognitive tasks.
  • Pedagogical tensions regarding how to teach journalism in an era where machines can produce entire texts.
  • Emerging opportunities to incorporate AI as a tool for support, transparency, and reflection in journalistic teaching and practice.

This special issue seeks to bring together research that explores, from different perspectives, the impacts of generative AI on journalism and its teaching, with an emphasis on ethical dilemmas, pedagogical strategies, and the future of the profession in an information ecosystem mediated by algorithms.

Thematic Areas

1. Academic and Professional Integrity

  • Algorithmic plagiarism and new forms of academic fraud.
  • Generation of false citations and consequences for journalistic credibility.
  • Editorial policies and regulations for the responsible use of AI in media and universities.

2. Transformation of Journalism Education

  • Pedagogical strategies for integrating AI without replacing critical thinking.
  • Teaching experiences (AI journals, oral assignments, reintroduction of handwriting, etc.).
  • Assessment of critical thinking, creativity, and writing skills in the algorithmic age.

3. Perceptions and Resistance

  • Attitudes of students and teachers toward the use of AI in journalism.
  • Impact of anxiety and trust on technology adoption.
  • Intergenerational comparison of AI use and rejection.

4. Newsrooms and New Professional Skills

  • Case studies of AI integration in media outlets.
  • Emerging roles and new skills (verification, analysis, emotional storytelling, data visualization).
  • Professional ethics: human oversight and responsibility in the face of automation.

5. Audiences, Trust, and the Information Ecosystem

  • Public perception of AI-produced news.
  • Disinformation, algorithmic personalization, and fact-checking.
  • Impact on public trust in the media in the age of AI.

This special issue is coordinated by:

  • Dr. Patricia Sánchez Holgado patriciasanc@usal.es 
  • Dr. Daniel Rodrigo-Cano drodrigo@nebrija.es

The deadline for article submissions is July 1, 2026.

References

Abhishek, A., & Graves, L. (2024). Analyzing Code: What a Critical Code Studies Approach Reveals About the Epistemology of Data Journalism. Digital Journalism, 1–25. https://doi.org/10.1080/21670811.2024.2345205

Ada Lovelace Institute, AI Now Institute and Open Government Partnership. (2021). Algorithmic Accountability for the Public Sector. Available at: https:// www.opengovpartnership.org/documents/ algorithmic-accountability-public-sector/

Ananny, M., & Crawford, K. (2018). Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. New Media & Society, 20(3), 973-989. https://doi.org/10.1177/1461444816676645

Apablaza-Campos, A., Wilches Tinjacá, J. A., & Salaverría, R. (2024). Generative Artificial Intelligence for Journalistic Content in Ibero-America : Perceptions, Challenges and Regional Projections. BiD, 52 (june). https://doi.org/10.1344/bid2024.52.06

Arias Robles, F., & Carvajal Prieto, M. (2023). The data journalist network. Profiles, skills, routines and tools of professionals in Spain and Latin America. Observatorio (OBS*), 17(3). Retrieved from https://obs.obercom.pt/index.php/obs/article/view/2245

Beckett, C., & Yaseen, M. (2023). Generating Change: A Global Survey of What News Organisations Are Doing with Artificial Intelligence. Journalism AI https://www.journalismai.info/research/2023-generating-change"

Beckett, C., Sanguinetti, P., Palomo, B. (2023). New Frontiers of the Intelligent Journalism. In: Negreira-Rey, MC., Vázquez-Herrero, J., Sixto-García, J., López-García, X. (eds) Blurring Boundaries of Journalism in Digital Media. Studies in Big Data, vol. 140. Springer, Cham. https://doi.org/10.1007/978-3-031-43926-1_19

Bounegru, L., & Gray, J. (Eds.) (2021). The Data Journalism Handbook: Towards A Critical Data Practice. (2 ed.) Amsterdam University Press. https://doi.org/10.2307/j.ctv1qr6smr

Broussard, M., Diakopoulos, N., Guzman, A. L., Abebe, R., Dupagne, M., & Chuan, C.- H. (2019). Artificial Intelligence and Journalism. Journalism & Mass Communication Quarterly, 96(3), 673-695. https://doi.org/10.1177/1077699019859901

Cortés del Álamo, H. M., Elías, C., & Luengo Cruz, M. (2018). Periodismo de datos y transparencia al margen de los grandes medios: Un estudio comparativo de Civio y ProPublica. Revista ICONO 14. Revista científica De Comunicación Y Tecnologías Emergentes, 16(2), 66–87. https://doi.org/10.7195/ri14.v16i2.1177

Couldry, N., & Mejias, U. A. (2019). The Costs of Connection: How Data Is Colonizing Human Life and Appropriating it for Capitalism. Stanford University Press. https://doi.org/10.1515/9781503609754

D’Ignazio, C., & Klein, L. (2023). The Power Chapter. In Data Feminism. The MIT Press https://data-feminism.mitpress.mit.edu/pub/bchsq3az

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

Diakopoulos, N. (2023). Automating the News: How Algorithms Are Rewriting the Media. Harvard University Press.

European Commission. (2024). EU Artificial Intelligence Act: Regulatory Framework. Artificial Intelligence Act (Regulation (EU) 2024/1689), Official Journal version of 13 June 2024’. Interinstitutional File: 2021/0106(COD). https://artificialintelligenceact.eu/

Graves, L. (2018). Understanding the promise and limits of automated fact-checking. Fact sheet, Reuters Institute for the study of journalism.  https://doi.org/10.60625/risj-nqnx-bg89

Gray, J., Bounegru, L., Venturini, T. (2020). ‘Fake news” as infrastructural uncanny. New media & society, 22(2), 317–341. https://doi.org/10.1177/1461444819856912

Hermida, A. & Young, M.L. (2019). Data Journalism and the Regeneration of News. Routledge.

Hintz, A., Dencik, L., & Wahl-Jorgensen, K. (2019). Digital citizenship in a datafied society. Cambridge: Polity Press.

Illescas Reinoso, D., Palacios, A. G., & Ortiz Vizuete, F. (2025). La inteligencia artificial en el periodismo: herramientas y aplicaciones: Artificial intelligence in journalism: tools and applications. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 6(1), 2354 – 2375. https://doi.org/10.56712/latam.v6i1.3503

Lewis, S. C., & Westlund, O. (2014). Big Data and Journalism: Epistemology, expertise, economics, and ethics. Digital Journalism, 3(3), 447–466. https://doi.org/10.1080/21670811.2014.976418

López Jiménez, D. F., & Bernal Suárez, J. D. (2025). Typifying the digital transformation of journalism in Latin America: a look from journalists. Tripodos, (56), 124–140. https://doi.org/10.51698/tripodos.2024.56.07

Marconi, F., & Siegman, A. (2019). The future of augmented journalism: A guide for newsrooms in the age of smart machines. Associated Press. https://jeanetteabrahamsen.com/wp-content/uploads/2017/09/ap_insights_the_future_of_augmented_journalism.pdf

Mateos Abarca, J., & Gamonal Arroyo, R. (2024). Metodologías de investigación y usos de la inteligencia artificial aplicada al periodismo. Comunicación & Métodos, 6(1), 90-107. https://doi.org/10.35951/v6i1.220

Milan, S., & Treré, E. (2019). Big Data from the South(s): Beyond Data Universalism. Television & New Media, 20(4), 319-335. https://doi.org/10.1177/1527476419837739

Moran, R. E., & Shaikh, S. J. (2022). Robots in the News and Newsrooms: Unpacking Meta-Journalistic Discourse on the Use of Artificial Intelligence in Journalism. Digital Journalism, 10(10), 1756–1774. https://doi.org/10.1080/21670811.2022.2085129

Núñez y García-Saúco, A. (2025). La regulación y la gobernanza global de la Inteligencia Artificial. En Gobernanza Ética de la Inteligencia Artificial: Grandes Empresas Tecnológicas, Inteligencia Artificial y la Gobernanza Global Tecnológica, pp 38-46. Ed. Sistema Económico Latinoamericano y del Caribe (SELA) https://www.sela.org/wp-content/uploads/2025/08/WEB-Gobernanza-Etica-de-la-Inteligencia-Artificial.pdf

OECD Organisation for Economic Co-operation and Development (2025) Governing with Artificial Intelligence: The State of Play and Way Forward in Core Government Functions. OECD Publishing, Paris, https://doi.org/10.1787/795de142-en.

Qurbonova. (2025). Artificial Intelligence Journalism: opportunities, risks, and future prospects. https://doi.org/10.5281/zenodo.15478349

Román San Miguel, A., & Sánchez-Hunt, M. (2025). Inteligencia artificial en contenidos periodísticos: uso real y transparencia informativa en medios españoles. Revista Mediterránea De Comunicación. https://doi.org/10.14198/MEDCOM.30350

Segel, E. & Heer, J. (2010). Narrative Visualization: Telling Stories with Data.  IEEE Transactions on Visualization and Computer Graphics, 16(6), 1139-1148. https://doi.org/10.1109/TVCG.2010.179

Sharma, M. (2024). The Impact of Artificial Intelligence (AI) on the Future of Democracy and Civic Participation. Available at SSRN: https://ssrn.com/abstract=4703439 or http://dx.doi.org/10.2139/ssrn.4703439

Sonni, A. F., Hafied, H., Irwanto, I., & Latuheru, R. (2024). Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges. Journalism and Media, 5(4), 1554-1570. https://doi.org/10.3390/journalmedia5040097

Tejedor, S. (2023).  La inteligencia artificial en el periodismo: mapping de conceptos, casos y recomendaciones. Editorial UOC

Trejos-Gil, C. A., & Gómez-Monsalve, W. D. (2024). Inteligencia artificial en los medios y el periodismo. Revisión sistemática sobre España y Latinoamérica en las bases de datos Scopus y Web of Science (2018-2022). Palabra Clave, 27(4), e2741. https://doi.org/10.5294/pacla.2024.27.4.1

Vayas Ruiz, E.C., Proaño Zurita, J.A., & Herdoíza Mancheno, F.G. (2025). Artificial intelligence. Challenges in the professional practice of journalism. Chasqui. Revista Latinoamericana de Comunicación, 158, 245-258. https://doi.org/10.16921/chasqui.v1i158.5060

Zuazo, N. (2023). Journalism and Artificial Intelligence in Latin America.  Communication and Information: discussion papers, 25. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000388124_eng