Inteligencia artificial en la prensaestudio comparativo y exploración de noticias con ChatGPT en un medio tradicional y otro nativo digital

  1. Quian, Alberto 1
  2. Sixto-García, José 1
  1. 1 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Journal:
Revista de comunicación

ISSN: 1684-0933 2227-1465

Year of publication: 2024

Volume: 23

Issue: 1

Type: Article

DOI: 10.26441/RC23.1-2024-3374 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Revista de comunicación

Abstract

: In the Fourth Industrial Revolution, journalism cannot remain oblivious to the innovations brought about by the socio-technological reality. Artificial intelligence (AI) is one of the technologies on the rise, although the Spanish media have incorporated it little, experimentally and in specific sections. This research has two objectives: 1) to know the state of development of AI in the Spanish digital media and the industry's perception of the impact of this technology on the profession; 2) to explore a human vs synthetic text generation detection method to assess whether generative AI is being used in media. A comparative study was carried out between two media of reference in Spain, one matrix and conservative ideology (El Mundo), and another digital native and progressive trend (eldiario.es). The methodology was based on methodological triangulation and included a survey and an experiment with ChatGPT to detect whether a sample of texts published in these two media was created by humans or machines. The results diagnose that none of these newspapers apply AI, although they are designing plans to do so, and that there seems to be a lack of AI experts in the newsrooms, although a significantly higher predisposition towards AI in the native media is not confirmed as opposed to the matrix. The analyses carried out confirm that generative AI is not used to create texts. The method applied can be used in other studies because its validity is confirmed to provide clues about the human or artificial origin of journalistic texts.

Funding information

Bibliographic References

  • Abdeldayem,M.M. y Aldulaimi, S.H. (2020). Trends and opportunities of artificial intelligence in human resource management: Aspirations for public sector in Bahrain. International Journal of Scientific and Technology Research, 9(1), 3867-3655.
  • Al Najjar-Trujillo, T.; Arévalo-Salinas, A.I. y Vilar-Sastre, G. (2020). Aproximación a los medios periodísticos alternativos en España. En Actas del III Congreso Internacional Move.net sobre Movimientos Sociales y TIC (145-153), Grupo Interdisciplinario de Estudios en Comunicación, Política y Cambio Social de la Universidad de Sevilla (COMPOLÍTICAS). https://hdl.handle.net/11441/98149
  • Alhwaiti, M. (2023). Acceptance of Artificial Intelligence Application in the Post-Covid Era and Its Impact on Faculty Members’ Occupational Well-being and Teaching Self Efficacy: A Path Analysis Using the UTAUT 2 Model. Applied Artificial Intelligence, 37(1), 2175110. https://doi.org/10.1080/08839514.2023.2175110 DOI: https://doi.org/10.1080/08839514.2023.2175110
  • Aloqaily, A.N. y Rawash, H.N. (2022). The application reality of Artificial Intelligence and its impact on the administrative human resources processes. Journal of Positive School Psychology, 6(5), 3520-29.
  • Andrade, C. (2021). The Inconvenient Truth About Convenience and Purposive Samples. Indian Journal of Psychological Medicine, 43(1), 86-88. https://www.doi.org/10.1177/0253717620977000 DOI: https://doi.org/10.1177/0253717620977000
  • Aramburú-Moncada, L.G., López-Redondo, I., López-Hidalgo, A. (2021). Artificial intelligence in RTVE at the service of empty Spain. News coverage project with automated writing for the 2023 municipal elections. Revista Latina de Comunicación Social, 81, 1-16. https://www.doi.org/10.4185/RLCS-2023-1550 DOI: https://doi.org/10.4185/RLCS-2023-1550
  • Battaglia, M.P. (2008). Nonprobability Sampling. En Lavrakas, P. (ed.), Encyclopaedia of survey research methods. Sage Publications, 523-526. https://doi.org/10.4135/9781412963947 DOI: https://doi.org/10.4135/9781412963947
  • Beckett, C. (2019). New powers, new responsibilities. A global survey of journalism and artificial intelligence. The London School of Economics and Political Science. https://blogs.lse.ac.uk/polis/2019/11/18/new-powers-new-responsibilities/
  • Blaikie, N.W.H. (1991). A critique of the use of triangulation in social research. Quality and Quantity, 25, 115-136. https://doi.org/10.1007/BF00145701 DOI: https://doi.org/10.1007/BF00145701
  • Bolander, T. (2019). What do we loose when machines take the decisions? Journal of Management and Governance, 23(4), 849-67. https://www.doi.org/10.1007/s10997-019-09493-x DOI: https://doi.org/10.1007/s10997-019-09493-x
  • Butler, T. (2020). What’s next in the digital transformation of financial industry. IT Professional, 22(1), 29-33. https://www.doi.org/10.1109/MITP.2019.2963490 DOI: https://doi.org/10.1109/MITP.2019.2963490
  • Cachat-Rosset, G. y Klarsfeld, A. (2023). Diversity, Equity, and Inclusion in Artificial Intelligence: An Evaluation of Guidelines”. Applied Artificial Intelligence, 37(1), 2176618. https://doi.org/10.1080/08839514.2023.2176618 DOI: https://doi.org/10.1080/08839514.2023.2176618
  • Chandol, M.K. y Kameswara Rao, M. (2023). Blockchain-based cryptographic approach for privacy enabled data integrity model for IoT healthcare. Journal of Experimental & Theoretical Artificial Intelligence, 1-22. https://doi.org/10.1080/0952813X.2023.2183268 DOI: https://doi.org/10.1080/0952813X.2023.2183268
  • Ciffolilli, A. y Muscio, A. (2018). Industry 4.0: national and regional comparative advantages in key enabling technologies. European Planning Studies, 26(12), 2323-2343. https://www.doi.org/10.1080/09654313.2018.1529145 DOI: https://doi.org/10.1080/09654313.2018.1529145
  • Cifuentes Arias, C. y Sixto-García, J. (2022). Competencias y perfil profesional de los gestores de medios sociales en los medios de comunicación: apuesta por la automatización robótica de procesos (RPA). Revista Latina de Comunicación Social, 80, 1-23. https://www.doi.org/10.4185/RLCS-2022-1544 DOI: https://doi.org/10.4185/RLCS-2022-1544
  • Clark, E., August, T., Serrano, S., Haduong, N., Gururangan, S. y Smith, N.A. (2021). All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text. En Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 7282-7296, Online. Association for Computational Linguistics. https://www.doi.org/10.18653/v1/2021.acl-long.565 DOI: https://doi.org/10.18653/v1/2021.acl-long.565
  • da Silva, V.L., Kovaleski, J.L. y Negri Pagani, R. (2019). Technology transfer in the supply chain oriented to industry 4.0: a literature review. Technology Analysis & Strategic Management, 31(5), 546-562. https://www.doi.org/10.1080/09537325.2018.1524135 DOI: https://doi.org/10.1080/09537325.2018.1524135
  • Dalalah, D. y Dalalah, O.M.A. (2023). The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT. The International Journal of Management Education, 21(2), 100822. https://doi.org/10.1016/j.ijme.2023.100822 DOI: https://doi.org/10.1016/j.ijme.2023.100822
  • David, E. (2023, 25 de julio). OpenAI can’t tell if something was written by AI after all. The Verge. https://www.theverge.com/2023/7/25/23807487/openai-ai-generated-low-accuracy.
  • Diakopoulos, D. (2023, 15 de febrero). What Could ChatGPT Do for News Production? Generative AI in the Newsroom. https://generative-ai-newsroom.com/what-could-chatgpt-do-for-news-production-2b2a3b7047d9
  • Duangekanong, S. (2022). Applications of artificial intelligence for strategic management of organization. ABAC ODI JOURNAL Vision, Action, Outcome, 9(2), 202-17. https://doi.org/10.14456/abacodijournal.2022.13
  • Etikan, I., Musa, S.A. y Alkassim, R.S. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. https://doi.org/10.11648/j.ajtas.20160501.11 DOI: https://doi.org/10.11648/j.ajtas.20160501.11
  • Fieiras-Ceide, C., Vaz-Álvarez, M. y Túñez-López, M. (2022). Artificial intelligence strategies in European public broadcasters: Uses, forecasts and future challenges. Profesional de la información, 31(5), e310518. https://doi.org/10.3145/epi.2022.sep.18 DOI: https://doi.org/10.3145/epi.2022.sep.18
  • 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 DOI: https://doi.org/10.31921/doxacom.n29a10
  • Fritts, M. y Cabrera, F. (2021). AI recruitment algorithms and the dehumanization problem. Ethics and Information Technology, 23(4), 791-801. https://doi.org/10.1007/s10676-021-09615-w DOI: https://doi.org/10.1007/s10676-021-09615-w
  • Gehrmann, S., Strobelt, H. y Rush, A. (2019). GLTR: Statistical Detection and Visualization of Generated Text. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 111-116, Florence, Italy. Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-3019 DOI: https://doi.org/10.18653/v1/P19-3019
  • Guerin, Frank (2022). Projection: a mechanism for human-like reasoning in Artificial Intelligence. Journal of Experimental & Theoretical Artificial Intelligence, 1-25. https://doi.org/10.1080/0952813X.2022.2078889 DOI: https://doi.org/10.1080/0952813X.2022.2078889
  • GIPEyOP/Mediaflows (2017). Encuesta GIPEyOP/Mediaflows sobre Medios y Comunicadores. Grupo de Investigación en Procesos Electorales y Opinión Pública. Universitat de València. https://www.uv.es/pavia/Informe_Encuesta_Medios.pdf
  • Gómez-Diago, G. (2022). Perspectivas para abordar la inteligencia artificial en la enseñanza de periodismo. Una revisión de experiencias investigadoras y docentes. Revista Latina de Comunicación Social, 80, 29-46. https://www.doi.org/10.4185/RLCS-2022-1542 DOI: https://doi.org/10.4185/RLCS-2022-1542
  • Gonçalves, A. y Melo, P.V. (2022). Inteligencia artificial y periodismo: una aproximación al contexto portugués. Fonseca, Journal of Communication, 25, 23-34. https://doi.org/10.14201/fjc.29682 DOI: https://doi.org/10.14201/fjc.29682
  • Gonzalo, M. (2023, 23 de febrero). Cómo detectar textos generados por inteligencia artificial. Newtral. https://www.newtral.es/como-detectar-textos-generados-ia/20230223/
  • Gültekin, M. (2022). Human-social robot interaction, anthropomorphism and ontological boundary problem in education. Psycho-Educational Research Reviews, 11(3), 751-773. https://doi.org/10.52963/PERR_Biruni_V11.N3.11 DOI: https://doi.org/10.52963/PERR_Biruni_V11.N3.11
  • Hagendorff, T. (2022). Blind spots in AI ethics. AI Ethics, 2, 851-867. https://doi.org/10.1007/s43681-021-00122-8 DOI: https://doi.org/10.1007/s43681-021-00122-8
  • He, X., Shen, X., Chen, Z., Backes, M. y Zhang, Y. (2023). MGTBench: Benchmarking Machine-Generated Text Detection. arXiv. https://doi.org/10.48550/arXiv.2303.14822
  • Jick, T.D. (1979): Mixing Qualitative and Quantitative Methods: Triangulation in action. Administrative Science Quarterly, 24(4), 602-611. https://doi.org/10.2307/2392366 DOI: https://doi.org/10.2307/2392366
  • Kirchner, J.H., Ahmad, L., Scott, A., Leike, J. (2023, 31 de enero). New AI classifier for indicating AI-written text. OpenAI Blog. https://openai.com/blog/new-ai-classifier-for-indicating-ai-written-text.
  • Hervás-Oliver, J. (2021). Industry 4.0 in industrial districts: regional innovation policy for the Toy Valley district in Spain. Regional Studies, 55(10-11), 1775-1786. https://doi.org/10.1080/00343404.2021.1939861 DOI: https://doi.org/10.1080/00343404.2021.1939861
  • Holmstrom, J. (2022). From AI to digital transformation: the AI readiness framework. Business Horizons, 65(3), 329-39. https://doi.org/10.1016/j.bushor.2021.03.006 DOI: https://doi.org/10.1016/j.bushor.2021.03.006
  • Jawahar, G., Abdul-Mageed, M. y Lakshmanan, L.V.S. (2020). Automatic Detection of Machine Generated Text: A Critical Survey. Proceedings of the 28th International Conference on Computational Linguistics, 2296-2309. https://doi.org/10.18653/v1/2020.coling-main.208 DOI: https://doi.org/10.18653/v1/2020.coling-main.208
  • Jobin, A., Ienca, M. y Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-99. https://doi.org/10.1038/s42256-019-0088-2 DOI: https://doi.org/10.1038/s42256-019-0088-2
  • Kong, H., Yuan, Y., Baruch, Y., Bu, N., Jiang, X. y Wang, K. (2021). Influences of artificial intelligence (AI) awareness on career competency and job burnout. International Journal of Contemporary Hospitality Management, 33(2), 717-734. https://doi.org/10.1108/IJCHM-07-2020-0789 DOI: https://doi.org/10.1108/IJCHM-07-2020-0789
  • Ley Orgánica 2/1984, de 26 de marzo, reguladora del derecho de rectificación. Boletín Oficial del Estado, 74, de 27 marzo de 1984. https://www.boe.es/eli/es/lo/1984/03/26/2/con
  • Ley Orgánica 2/1997, de 19 de junio, reguladora de la cláusula de conciencia de los profesionales de la información. Boletín Oficial del Estado, 147, de 20 de junio de 1997. https://www.boe.es/eli/es/lo/1997/06/19/2/con
  • Lopezosa, C., Codina, L., Pont-Sorribes, C., y Vállez, M. (2023). Use of generative artificial intelligence in the training of journalists: challenges, uses and training proposal. Profesional de la información, 32(4). https://doi.org/10.3145/epi.2023.jul.08 DOI: https://doi.org/10.3145/epi.2023.jul.08
  • Malik, N., Tripathi, S.N., Kar, A.K., Gupta, S. (2021). Impact of Artificial Intelligence on employees working in industry 4.0 led organizations. International Journal of Manpower, 43(2), 334-354. https://doi.org/10.1108/IJM-03-2021-0173 DOI: https://doi.org/10.1108/IJM-03-2021-0173
  • Manfredi-Sánchez, J.L. y Ufarte-Ruiz, M.J. (2020). Inteligencia artificial y periodismo: una herramienta contra la desinformación. Revista CIDOB d’Afers Internacionals, 124, 49-72. https://doi.org/10.24241/rcai.2020.124.1.49 DOI: https://doi.org/10.24241/rcai.2020.124.1.49
  • Michailidis, M.P. (2018). The challenges of AI and blockchain on HR recruiting practices. Cyprus Review, 30(2), 169-180. https://cyprusreview.org/index.php/cr/article/view/763
  • Mitchell, E., Lee, Y., Khazatsky, A., Manning, C.D. y Finn, C. (2023). Detectgpt: Zero-shot machine-generated text detection using probability curvature. arXiv. https://doi.org/10.48550/arXiv.2301.11305
  • Mondría-Terol, T. (2023). Innovación MedIÁtica: aplicaciones de la inteligencia artificial en el periodismo en España. Textual & Visual Media, 17(1), 41-60. https://doi.org/10.56418/txt.17.1.2023.3 DOI: https://doi.org/10.56418/txt.17.1.2023.3
  • Nankervis, A., Connell, J., Cameron, R., Montague, A. y Prikshat, V. (2021). ‘Are we there yet?’ Australian HR professionals and the fourth industrial revolution. Asia Pacific Journal of Human Resources, 59(1), 3-19. https://doi.org/10.1111/1744-7941.12245 DOI: https://doi.org/10.1111/1744-7941.12245
  • Newman, N., Fletcher, R., Robertson, C.T., Eddy, K. y Nielsen, R.K. (2022). Reuters Institute Digital News Report 2022. Reuters Institute. https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2022
  • Nyholm, S y Smids, J. (2016). The ethics of accident-algorithms for self-driving cars: An applied trolley problem? Ethical Theory and Moral Practice, 19(5), 1275-1289. https://doi.org/10.1007/s10677-016-9745-2 DOI: https://doi.org/10.1007/s10677-016-9745-2
  • Ojubanire, O.A., Sebti, H. y Berbain, S. (2022). Towards developing a national framework for industry 4.0 in African emerging economies. African Journal of Science, Technology, Innovation and Development, 1-18. https://doi.org/10.1080/20421338.2022.2129347 DOI: https://doi.org/10.1080/20421338.2022.2129347
  • OpenAI (2023). “AI Text Classifier”. https://beta.openai.com/ai-text-classifier
  • Oppermann, M. (2000): Triangulation - A Methodological discussion. International Journal of Tourism Research 2(2), 141-146. https://doi.org/10.1002/(SICI)1522-1970(200003/04)2:2%3C141::AID-JTR217%3E3.0.CO;2-U DOI: https://doi.org/10.1002/(SICI)1522-1970(200003/04)2:2<141::AID-JTR217>3.0.CO;2-U
  • Palos-Sánchez, P.R., Baena-Luna, P., Badicu, A. e Infante-Moro, J.C. (2022). Artificial Intelligence and Human Resources Management: A Bibliometric Analysis. Applied Artificial Intelligence, 36(1), 2145631. https://doi.org/10.1080/08839514.2022.2145631 DOI: https://doi.org/10.1080/08839514.2022.2145631
  • Parratt-Fernández, S., Mayoral-Sánchez, J. y Mera-Fernández, M. (2021). The application of artificial intelligence to journalism: an analysis of academic production. Profesional de la información, 30(3), e300317. https://doi.org/10.3145/epi.2021.may.17 DOI: https://doi.org/10.3145/epi.2021.may.17
  • Peña-Fernández, S., Meso-Ayerdi, K., Larrondo-Ureta, A. y Díaz-Noci, J. (2023). Without journalists, there is no journalism: the social dimension of generative artificial intelligence in the media. Profesional de la información, 32(2), e320227. https://doi.org/10.3145/epi.2023.mar.27 DOI: https://doi.org/10.3145/epi.2023.mar.27
  • Perreault, G.P. y Ferrucci, P. (2020). What Is Digital Journalism? Defining the Practice and Role of the Digital Journalist. Digital Journalism, 8(10), 1298-1316. https://doi.org/10.1080/21670811.2020.1848442 DOI: https://doi.org/10.1080/21670811.2020.1848442
  • Pillai, R. y Sivathanu, B. (2020). Adoption of Artificial Intelligence (AI) for talent acquisition in IT/ITeS organizations. Benchmarking: An International Journal, 27(9), 2599-629. https://doi.org/10.1108/BIJ-04-2020-0186 DOI: https://doi.org/10.1108/BIJ-04-2020-0186
  • Quian, A. y Sixto-García, J. (2024). Exploración de noticias con ChatGPT. Zenodo. https://doi.org/10.5281/zenodo.10530376
  • Rojas-Torrijos, J.L. y 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, 29, 235-254. https://doi.org/10.31921/doxacom.n29a12 DOI: https://doi.org/10.31921/doxacom.n29a12
  • Rogers, R. (2023, 8 de febrero). How to Detect AI-Generated Text, According to Researchers. Wired. https://www.wired.com/story/how-to-spot-generative-ai-text-chatgpt/
  • Salaverría, R. (2019). Digital journalism: 25 years of research. Review article. Profesional de la información, 28(1). https://doi.org/10.3145/epi.2019.ene.01 DOI: https://doi.org/10.3145/epi.2019.ene.01
  • Sanahuja-Sanahuja, R. y López-Rabadán, P. (2022). Ética y uso periodístico de la inteligencia artificial. Los medios públicos y las plataformas de verificación como precursores de la rendición de cuentas en España. Estudios sobre el Mensaje Periodístico, 28(4), 959-970. https://doi.org/10.5209/esmp.82385 DOI: https://doi.org/10.5209/esmp.82385
  • Sánchez-García, P., Merayo-Álvarez, N., Calvo-Barbero, C. y Diez-Gracia, A. (2023). Spanish technological development of artificial intelligence applied to journalism: companies and tools for documentation, production and distribution of information. Profesional de la información, 32(2), e320208. https://doi.org/10.3145/epi.2023.mar.08 DOI: https://doi.org/10.3145/epi.2023.mar.08
  • Sánchez-González, M., Sánchez-Gonzales, H.M. y 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://doi.org/10.5209/esmp.82735 DOI: https://doi.org/10.5209/esmp.82735
  • Saurwein, F. (2019). Emerging structures of control for algorithms on the Internet. En Eberwein, T., Fengler, S. y Karmasin, M. (eds), Media accountability in the era of post-truth politics. European challenges and perspectives. Routledge. https://doi.org/10.4324/9781351115780-13 DOI: https://doi.org/10.4324/9781351115780-13
  • Soffer, O. (2019). Algorithmic personalization and the two-step flow of communication. Communication Theory, 31(3), 297-315. https://doi.org/10.1093/ct/qtz008 DOI: https://doi.org/10.1093/ct/qtz008
  • Soni, M. y Wade, V. (2023). Evaluating and Detecting ChatGPT’s Responses on Abstractive Summarization. arXiv [Cs.CL]. https://doi.org/10.48550/arXiv.2303.17650
  • Tejedor-Calvo, S., Cervi, L., Pulido, C.M y Pérez-Tornero, J.M. (2021). Análisis de la integración de sistemas inteligentes de alertas y automatización de contenidos en cuatro cibermedios. Estudios sobre el Mensaje Periodístico, 27(3), 973-983. https://doi.org/10.5209/esmp.77003 DOI: https://doi.org/10.5209/esmp.77003
  • Tian, E. (2023). GPTZero. https://gptzero.me/
  • Túñez-López, J.M., Ufarte-Ruiz, M.J. y Mazza, B. (2022). Aplicación de la inteligencia artificial en comunicación. Revista Latina de Comunicación Social, 80. https://nuevaepoca.revistalatinacs.org/index.php/revista/article/view/1734
  • Turilli, M. y Floridi, L. (2009). The ethics of information transparency. Ethics and Information Technology, 11, 105-112. https://doi.org/10.1007/s10676-009-9187-9 DOI: https://doi.org/10.1007/s10676-009-9187-9
  • Ufarte-Ruiz, M.J., Calvo-Rubio, L.M. y Murcia-Verdú, F.J. (2021). Los desafíos éticos del periodismo en la era de la inteligencia artificial. Estudios sobre el Mensaje Periodístico, 27(2), 673-684. https://doi.org/10.5209/esmp.69708 DOI: https://doi.org/10.5209/esmp.69708
  • Ufarte-Ruiz, M.J. y 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 DOI: https://doi.org/10.31921/doxacom.n29a11
  • Ufarte-Ruiz, M.J., Murcia-Verdú, F.J. y Túñez-López, J.M. (2023). Use of artificial intelligence in synthetic media: first newsrroms without journalists. Profesional de la información, 32(2), e320203. https://doi.org/10.3145/epi.2023.mar.03 DOI: https://doi.org/10.3145/epi.2023.mar.03
  • Vaishya, R., Misra, A. y Vaish, A. (2023). ChatGPT: Is this version good for healthcare and research?. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 17(4), 102744. https://doi.org/10.1016/j.dsx.2023.102744 DOI: https://doi.org/10.1016/j.dsx.2023.102744
  • Vázquez-Herrero, J., Negreira-Rey, M.C., & López-García, X. (2023). Research on digital native media: an emerging topic in the field of digital communication. Profesional de la Información, 32(2). https://doi.org/10.3145/epi.2023.mar.02 DOI: https://doi.org/10.3145/epi.2023.mar.02
  • Wang, Y., Mansurov, J., Ivanov, P., Su, J., Shelmanov, A., Tsvigun, A., Whitehouse, C., Afzal, O.M., Mahmoud, T., Aji, A.F. y Nakov, P. (2023). M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. arXiv [Cs.CL]. https://doi.org/10.48550/arXiv.2305.14902
  • Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q. L., & Tang, Y. (2023). A brief overview of ChatGPT: The history, status quo and potential future development. IEEE/CAA Journal of Automatica Sinica, 10(5), 1122-1136. https://doi.org/10.1109/JAS.2023.123618 DOI: https://doi.org/10.1109/JAS.2023.123618
  • Zou, J. y Schiebinger, L. (2018). AI can be sexist and racist - it's time to make it fair. Nature, 559(7714), 324-326. https://doi.org/10.1038/d41586-018-05707-8 DOI: https://doi.org/10.1038/d41586-018-05707-8