Investigación sobre la calidad de las noticias automatizadas en la producción científica internacionalmetodologías y resultados

  1. Teresa Sandoval-Martín
  2. Leonardo La-Rosa Barrolleta
Revista:
Cuadernos.Info

ISSN: 0719-3661

Any de publicació: 2023

Número: 55

Pàgines: 114-136

Tipus: Article

DOI: 10.7764/CDI.55.54705 DIALNET GOOGLE SCHOLAR lock_openAccés obert editor

Altres publicacions en: Cuadernos.Info

Resum

A Quarta Revolução Industrial obriga-nos a pensar em abordagens teóricas e metodológicas adequadas aos objetos de estudo do jornalismo automatizado. Uma meta-análise e um estudo global são realizados para detectar as metodologias dominantes em torno da qualidade das notícias automatizadas. A técnica de Revisão Sistemática da Literatura (SLR) é aplicada a uma pesquisa de artigos sobre os termos 'jornalismo' e 'inteligência artificial' (N=670) entre 2008, quando surgiu o jornalismo de dados tal como o conhecemos hoje, e 2022. Após a análise, foram identificados 18 artigos publicados em Scopus e WoS analisando a qualidade das notícias automatizadas entre 2014 e 2022. Foi realizada uma análise de conteúdo e comparativa dos aspectos formais e quantificáveis (autores, revistas, ano de publicação, país, entre outros), de aspecto metodológico, como a orientação e técnicas escolhidas. Entre os resultados mais destacados está a predominância da experiência como o método preferido. Os países mais interessados nesta questão são os Estados Unidos (N=6), a Espanha (N=5) e a Alemanha (N=4). O primeiro e o segundo centram-se nos estudos da percepção e nas primeiras categorias de Sundar (1999). Na Espanha, são adoptadas diferentes abordagens, na República Checa (N=1) experimentam a sua própria criação algorítmica, e nos Países Baixos (N=1) e em Singapura (N=1) é aplicada a abordagem experimental.

Referències bibliogràfiques

  • Alessandri, F., Edwards, C., Pellegrini, S., Puente, S., Rozas, E., Saavedra, G., & Porath, W. (2001). VAP: un sistema métrico de la calidad periodística (JAV: A journalistic quality metric system). Cuadernos.Info, (14). https://doi.org/10.7764/cdi.14.187
  • 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
  • Cabero Almenara, J. & Llorente Cejudo, M. del C. (2013). La aplicación del juicio de experto como técnica de evaluación de las tecnologías de la información y comunicación (TIC) (The Expert’s Judgment Application as a Tecnic Evaluate Information and Communication Technology (ICT)). Revista Eduweb, 7(2), 11-22. https://revistaeduweb.org/index.php/eduweb/article/view/206
  • Calvo-Rubio, L. M. & Ufarte-Ruiz, M. J. (2020). Percepción de docentes universitarios, estudiantes, responsables de innovación y periodistas sobre el uso de inteligencia artificial en periodismo (Perception of teachers, students, innovation managers and journalists about the use of artificial intelligence in journalism). Profesional De La Información, 29(1). https://doi.org/10.3145/epi.2020.ene.09
  • Calvo-Rubio, L. M., & Ufarte-Ruiz, M. J. (2021). Artificial intelligence and journalism: Systematic review of scientific production in Web of Science and Scopus (2008-2019). Communication & Society, 34(2), 159–176. https://doi.org/10.15581/003.34.2.159-176
  • Carlson, M. (2015). The Robotic Reporter. Automated journalism and the redefinition of labor, compositional forms, and journalistic authority. Digital Journalism, 3(3), 416-431. https://doi.org/10.1080/21670811.2014.976412
  • Carrasco-Campos, A. & Saperas Lapiedra, E. (2016). Cambio tecnológico, globalización neoliberal y hegemonías metodológicas en la investigación comunicativa internacional (Technological change, neoliberal globalization and methodological hegemonies in international communication investigation). Ámbitos: Revista Internacional de Comunicación, (32). https://idus.us.es/handle/11441/66524
  • Clerwall, C. (2014). Enter the Robot Journalist. Users' perceptions of automated content. Journalism Practice, 8(5), 519–531. https://doi.org/10.1080/17512786.2014.883116
  • Dörr, K. N. (2015). Mapping the field of Algorithmic Journalism. Digital Journalism, 4(6), 700-722. https://doi.org/10.1080/21670811.2015.1096748
  • Echeverría, J. (1999). Introducción a la metodología de la ciencia. La filosofía de la ciencia en el siglo XX (Introduction to the methodology of science. The philosophy of science in the 20th century). Cátedra.
  • Fanta, A. (2017). Putting Europe’s Robots on the Map: Automated journalism in news agencies. Reuters Institute for the Study of Journalism.
  • Fieiras Ceide, C., Vaz Álvarez, M., & Túñez López, M. (2022). Verificación automatizada de contenidos en las radiotelevisiones públicas europeas: primeras aproximaciones al uso de la inteligencia artificial. Redmarka. Revista de Marketing Aplicado, 26(1), 36-51. https://doi.org/10.17979/redma.2022.26.1.8932
  • Flores-Márquez, D. & González-Reyes, R. (2023). Editorial Dossier: Discusiones metodológicas en los estudios de comunicación digital (Dossier Editorial. Methodological discussions in digital communication studies). Cuadernos.Info, (54), I-VII. https://doi.org/10.7764/cdi.54.56629
  • Glahn, H. R. (1970). computer-produced worded forecasts. Bulletin of the American Meteorological Society, 51(12), 1126–1131. https://doi.org/10.1175/1520-0477(1970)051<1126:CPWF>2.0.CO;2
  • Gómez-Escalonilla, G. (2021). Métodos y técnicas de investigación utilizados en los estudios sobre comunicación en España (Research methods and techniques employed in Communication Studies in Spain). Revista Mediterránea de Comunicación/Mediterranean Journal of Communication, 12(1), 115-127. https://www.doi.org/10.14198/MEDCOM000018
  • Graefe, A. (2016). Guide to Automated Journalism. Tow Center for Digital Journalism.
  • Graefe, A. & Bohlken, N. (2020). Automated Journalism: A Meta-Analysis of Readers’ Perceptions of Human-Written in Comparison to Automated News. Media and Communication, 8(3), 50-59. https://doi.org/10.17645/mac.v8i3.3019
  • Graefe, A., Haim, M., Haarmann, B., & Brosius, H.-B. (2018). Reader’s perception of computergenerated news: Credibility, expertise, and readability. Journalism, 19(5), 595-610. https://doi.org/10.1177/1464884916641269
  • Guzman A. L. & Lewis S. C. (2020). Artificial intelligence and communication: A human– machine communication research agenda. New Media & Society, 22(1), 70-86. https://doi.org/10.1177/1461444819858691
  • Haim, M. & Graefe, A. (2017). Automated News. Better than expected? Digital Journalism, 5(8), 1044-1059. https://doi.org/10.1080/21670811.2017.1345643
  • Jia, C. (2020). Chinese Automated Journalism: A Comparison Between Expectations and Perceived Quality. International Journal of Communication, 14, 2611-2632. https://ijoc.org/index.php/ijoc/article/view/13334
  • Jia, C. & Johnson, T. (2021). Source Credibility Matters: Does Automated Journalism Inspire Selective Exposure? International Journal of Communication, 15, 3760–3781.
  • Jung, J., Song, H., Kim, Y., Im, H., & Oh, S. (2017). Intrusion of software robots into journalism: The public’s and journalists’ perceptions of news written by algorithms and human journalists. Computers in Human Behavior, 71, 291–298. https://doi.org/10.1016/j.chb.2017.02.022
  • Kothari, A. & Cruikshank S. A. (2022). Artificial Intelligence and Journalism: An Agenda for Journalism Research in Africa, African Journalism Studies, 43(1), 17-33. https://doi.org/10.1080/23743670.2021.1999840
  • LeCompte, C. (2015). Automation in the Newsroom. How algorithms can help reporters. Nieman Reports, 69(3), 32–45. http://niemanreports.org/wp-content/uploads/2015/08/ NRsummer2015.pdf
  • Lermann Henestrosa, A., Grieving, H., & Kimmerle, J. (2023). Automated journalism: The effects of AI authorship and evaluative information on the perception of a science journalism article. Computers in Human Behavior, 138, 107445. https://doi.org/10.1016/j.chb.2022.107445
  • Linden, C.-G. (2017). Algorithms for journalism: The future of news work. The Journal of Media Innovations, 4(1), 60-76. https://doi.org/10.5617/jmi.v4i1.2420
  • López-García, X. & Vizoso, A. (2021). Periodismo de alta tecnología: signo de los tiempos digitales del tercer milenio (High-tech journalism: a sign of the digital era of the third millennium). Profesional De La Información, 30(3). https://doi.org/10.3145/epi.2021.may.01
  • López-Hidalgo, A. & López-Redondo, I. (2020). Riesgos y desafíos del periodismo inteligente (Risks and challenges of smart journalism). In M. J. Ruiz Acosta & A. López Hidalgo (Coords.), El periodismo en tiempos de realidad virtual (Journalism in times of virtual reality). Comunicación Social Ediciones y Publicaciones.
  • Martín-Martín, A., Orduña-Malea, E., Thelwall, M., & Delgado-López-Cózar, E. (2018). Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories. Journal of Informetrics, 12(4), 1160-1177. https://doi.org/10.1016/J.JOI.2018.09.002
  • Martínez Nicolás, M., Saperas Lapiedra, E., & Carrasco Campos, A. (2019). La investigación sobre comunicación en España en los últimos 25 años (1990-2014). Objetos de estudio y métodos aplicados en los trabajos publicados en revistas españolas especializadas (Communication research in Spain over the past 25 years (1990-2014). Objects of study and research methods in the papers published by Spanish peer-reviewed communication journals). Empiria: Revista de metodología de ciencias sociales, 42(37-69). https://doi.org/10.5944/empiria.42.2019.23250
  • Meehan, J. R. (1977). Tale-Spin, an interactive program that writes stories. In Proceedings of the Fifth International Joint Conference on Artificial Intelligence, 1, 91-98. https://www.ijcai.org/Proceedings/77-1/Papers/013.pdf
  • Moran, R. E. & Shaikh, S. J. (2022). Robots in the News and Newsrooms: Unpacking MetaJournalistic Discourse on the Use of Artificial Intelligence in Journalism. Digital Journalism, 10(10), 1756-1774. https://doi.org/10.1080/21670811.2022.2085129
  • Moravec V., Macková V., Sido J., & Ekštein, K. (2020). The Robotic Reporter in The Czech News Agency: Automated Journalism and Augmentation in the Newsroom. Communication Today, 11(1), 37-52. https://www.communicationtoday.sk/the-roboticreporter-in-the-czech-news-agency-automated-journalism-and-augmentation-in-thenewsroom/
  • Murcia Verdú, F. J., Ramos Antón, R., & Calvo Rubio, L. M. (2022). Comparative analysis of the sports chronicle quality written by artificial intelligence and journalists. Revista Latina de Comunicación Social, 80, 91-111.https://doi.org/10.4185/RLCS-2022-1553
  • Napoli, P. M. (2014). Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption. Communication Theory, 24(3), 340–360. https://doi. org/10.1111/comt.12039
  • Noain-Sánchez, A. (2022). Addressing the Impact of Artificial Intelligence on Journalism: The perception of experts, journalists and academics. Communication and Society, 35(3), 105–121. https://doi.org/10.15581/003.35.3.105-121
  • Orozco, G. & González, R. (2011). Una coartada metodológica (A methodological alibi). Tintable.
  • Otzen, T. & Manterola, C. (2017). Técnicas de Muestreo sobre una Población a Estudio. (Sampling Techniques on a Population Study). International Journal of Morphology, 35(1), 227-232.https://doi.org/10.4067/S0717-95022017000100037
  • Parratt-Fernández, S., Mayoral-Sánchez, J., & Mera-Fernández, M. (2021). The application of artificial intelligence to journalism: an analysis of academic production. Profesional De La Información, 30(3). https://doi.org/10.3145/EPI.2021.MAY.17
  • Pavlik, J. V. (2022). Disruption and Digital Journalism. Assessing News Media Innovation in a Time of Dramatic Change. Routledge.
  • 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 (Automated sports journalism. The AnaFut case study, the bot developed by El Confidencial for writing football match reports). Doxa Comunicación. Revista Interdisciplinar De Estudios De Comunicación Y Ciencias Sociales, (29), 235-254. https://doi. org/10.31921/doxacom.n29a12
  • Ruiz Acosta, M.J. y López Hidalgo, A. (2019). El periodismo en tiempos de realidad virtual. Salamanca: Comunicación Social. Ediciones y Publicaciones. Salamanca, Comunicación Social.
  • Sánchez Gonzales, H. & Sánchez González, M (2017). Bots as a news service and its emotional connection with audiences. The case of Politibot. Doxa Comunicación. Revista Interdisciplinar De Estudios De Comunicación Y Ciencias Sociales, (25), 63-84. https://doi. org/10.31921/doxacom.n25a3
  • Sanahuja Sanahuja, R. & López Rabadán, P. (2021). Ámbitos de aplicación periodística de la Inteligencia Artificial. Mapa conceptual, funciones profesionales y tendencias en desarrollo en el contexto de la pandemia global de la Covid-19 (Journalistic applications of Artificial Intelligence. Concept map, professional roles and developing trends in the context of the global Covid-19 pandemic). Razón y Palabra, 25(112), 432-449. https://doi. org/10.26807/rp.v25i112.1827
  • Sandoval-Martín, M. T. & La-Rosa, L. (2018). Big Data as a differentiating sociocultural element of data journalism: the perception of data journalists and experts. Communication & Society, 31(4), 193-209.https://doi.org/10.15581/003.31.4.193-209
  • Schwab, K. (2016). La Cuarta Revolución Industrial (The Fourth Industrial Revolution). Debate. Smuha, N.(Coord.). (2018). A definition of AI: Main capabilities and scientific disciplines. Definition developed for the purpose of the deliverables of the High-Level Expert Group on AI. https://ec.europa.eu/futurium/en/system/files/ged/ai_hleg_definition_of_ai_18_december_1.pdf
  • Sundar, S. (1999). Exploring Receivers' Criteria for Perception of Print and Online News. Journalism & Mass Communication Quarterly, 76(2), 373–386. https://doi. org/10.1177/107769909907600213
  • Tandoc Jr, E. C., Yao, L. J., & Wu, S. (2020). Man vs. Machine? The Impact of Algorithm Authorship on News Credibility. Digital Journalism, 8(4), 548-562. https://doi.org/10.1080 /21670811.2020.1762102
  • Túñez-López, J.-M., Toural-Bran, C., & Cacheiro-Requeijo, S. (2018). Uso de bots y algoritmos para automatizar la redacción de noticias: percepción y actitudes de los periodistas en España (Automated-content generation using news-writing bots and algorithms: Perceptions and attitudes amongst Spain’s journalists). Profesional De La Información, 27(4), 750–758. https://doi.org/10.3145/epi.2018.jul.04
  • Túñez-López, M., Toural-Bran, C., & Valdiviezo-Abad, C (2019). Automatización, bots y algoritmos en la redacción de noticias. Impacto y calidad del periodismo artificial (Automation, bots and algorithms in newsmaking. Impact and quality of artificial journalism). Revista Latina de Comunicación Social, 74, 1411-1433. https://doi.org/10.4185/ RLCS-2019-1391
  • Túñez-López, J. M., Fieiras Ceide, C., & Vaz-Álvarez, M (2021). Impact of Artificial Intelligence on Journalism: transformations in the company, products, contents and professional profile. Communication & Society, 34(1), 177-193.https://doi.org/10.15581/003.34.1.177-193
  • Ufarte Ruiz M. J. & Manfredi Sánchez, J. L. (2019). Algorithms and bots applied to journalism. The case of Narrativa Inteligencia Artificial: Structure, production and informative quality. Doxa Comunicación. Revista Interdisciplinar De Estudios De Comunicación Y Ciencias Sociales, (29), 213-233. https//doi.org/10.31921/doxacom.n29a11
  • van-der-Kaa, H. & Krahmer, E. (2014, October 24-25). Journalist versus news consumer: The perceived credibility of machine written news. In Proceedings of the Computation+Journalism conference. Columbia University.https://research.tilburguniversity.edu/en/publications/ journalist-versus-news-consumer-the perceived-credibility-of-mach
  • Waddell, T. F. (2018). A Robot Wrote This? How perceived machine authorship affects news credibility. Digital Journalism., 6(2), 236-255. https://10.1080/21670811.2017.1384319
  • Waddell, T. F. (2019a). Can an Algorithm Reduce the Perceived Bias of News? Testing the Effect of Machine Attribution on News Readers’ Evaluations of Bias, Anthropomorphism, and Credibility. Journalism & Mass Communication Quarterly, 96(1), 82–100. https://doi.org/10.1177/1077699018815891
  • Waddell, T. F. (2019b). Attribution Practices for the Man-Machine Marriage: How Perceived Human Intervention, Automation Metaphors, and Byline Location Affect the Perceived Bias and Credibility of Purportedly Automated Content, Journalism Practice, 13(10), 12551272. https://doi.org/10.1080/17512786.2019.1585197
  • Wölker, A., & Powell, T. E. (2018). Algorithms in the newsroom? News readers’ perceived credibility and selection of automated journalism. Journalism, 22(1), 1-18. https://doi.org/10.1177/1464884918757072
  • Wu, Y. (2019). Is Automated Journalistic Writing Less Biased? An Experimental Test of AutoWritten and Human-Written News Stories. Journalism Practice, 14(8), 1008-1028. https://doi.org/10.1080/17512786.2019.1682940
  • Zheng, Y., Zhong, B., & Yang, F. (2018). When algorithms meet journalism: The user perception to automated news in a cross-cultural context. Computers in Human Behavior, 86, 266–275. https://doi.org/10.1016/j.chb.2018.04.046
  • Zhou, Y. & Liao, H.T. (2020). A bibliometric analysis of communication research on artificial intelligence and big data. In Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR 2020), pp. 456-459. https://doi.org/10.2991/assehr.k.200428.097