Abstract
Big data is a massive dataset, through which statistics, behavioral studies and trends are generated. In the journalistic field, it has been fundamental for the automation of texts, creation of new computer content and new technological tools. In order to document the available material on big data in the field of journalism, a systematic literature review was conducted in the Scopus database. We applied filters to narrow down the findings. From a preliminary result of 47 publications, 11 were chosen that met the purposes of the research. It is specified that most of the selected texts use qualitative methodology to document the experiences of using big data and artificial intelligence. According to the studies analyzed, it was found that artificial intelligence (AI) and the application of big data in journalism enable the creation of content, the implementation of platforms and fact-checking. It is concluded that big data and AI are increasingly used in journalistic work, so it is important to use them with a critical and ethical approach.
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References
Cukier K, Mayer-Schoenberger V (2013) The rise of big data: how it’s changing the way we think about the world. Foreign Affairs 92(3):28–40. http://www.jstor.org/stable/23526834
Kovach B, Rosenstiel T (2012) The elements of journalism—Everything journalists should know and citizens should expect. Penguin Random House Grupo Editorial España, Madrid
Jiménez-Vinuesa C, Nicolás-Sans R (2023) Ethical journalism versus digital journalism: two sides of the same coin? Vis Rev Int Vis Culture Rev 15(1):1–10. https://doi.org/10.37467/revvisual.v10.4623
Tejedor S (2022) Artificial intelligence and newsgames in journalism: proposals and ideas from the case study of three projects. Vis Rev Int Vis Culture Rev 12(3):1–8. https://doi.org/10.37467/revvisual.v9.3749
Sánchez-Holgado P, Marcos-Ramos M, González-de-Garay-Domínguez B (2021) Gender differences in the perception of Spanish citizens about Data Science, Doxa Comunicación. Revista Interdisciplinar de Estudios de Comunicación y Ciencias Sociales 33:235–256. https://doi.org/10.31921/doxacom.n33a1126
Zomeño D, Blay-Arráez R (2021) Big data and editorial intelligence in branded content and new media business models. Profesional de la información 30(1). https://doi.org/10.3145/epi.2021.ene.20
Fieiras-Ceide C, Vaz-Álvarez M, Túñez-López M (2022) Artificial intelligence strategies in European public broadcasters: uses, forecasts and future challenges. Inf Prof 31(5). https://doi.org/10.3145/epi.2022.sep.18
Sánchez-Holgado P, Arcila Calderón C, Blanco-Herrero D (2022) Knowledge and attitudes of Spanish citizens about big data and artificial intelligence. Revista ICONO 14, Revista Científica de Comunicación y Tecnologías Emergentes 20(1). https://doi.org/10.7195/ri14.v21i1.1908
Manfredi Sánchez J, Ufarte Ruiz M (2020) Artificial intelligence and journalism: a tool against disinformation. Revista CIDOB d'Afers Internacionals 124:49–72. https://doi.org/10.24241/rcai.2020.124.1.49
Ufarte Ruiz M, Calvo Rubio L, Murcia Verdú F (2021) Ethical challenges of journalism in the age of artificial intelligence. Estudios sobre el Mensaje Periodístico 27(2):673–684. https://doi.org/10.5209/esmp.69708
Pedrero Esteban LM, Pérez Escoda A (2021) Democracy and digitization: ethical implications of AI in content personalization through voice interfaces. Recerca Revista de Pensament i Anàlisi 26(2). https://doi.org/10.6035/recerca.4666
Cotino Hueso L (2022) Who, how and what to regulate (or not to regulate) in the face of disinformation. Constitut Theory Reality 49:199–238. https://doi.org/10.5944/trc.49.2022.33849
García-Marín D, Merino-Ortego M (2022) Unscientific misinformation about COVID-19 spread on Twitter in Latin America. Cuadernos Info 52:24–46. https://doi.org/10.7764/cdi.52.42795
Herrero E, Herrera-Damas S (2021) Spanish-speaking fact-checking: competencies, difficulties and proposals for improvement from the perspective of its professionals. Profesional de la información 30(6). https://doi.org/10.3145/epi.2021.nov.12
Henderson LK, Craig JC, Willis NS, Tovey D, Webster AC (2010) How to write a Cochrane systematic review. Nephrology 15(6):617–624. https://doi.org/10.1111/j.1440-1797.2010.01380.x
Cruz-Sosa M, Martín Quintana JC, Álamo-Muñoz A (2023) Systematic review of parenting education programmes implemented in the educational context. Hum Rev Int Hum Rev 18(3):1–23. https://doi.org/10.37467/revhuman.v18.4880
Burnham JF (2006) Scopus database: a review. Biomed Digital Libraries 3:1. https://doi.org/10.1186/1742-5581-3-1
García Jiménez A, Catalina García B (2018) A documentary and librarian perspective on big data and data journalism. Investigación Bibliotecológica: Archivonomía, Bibliotecología e Información 32(74):77–99. https://doi.org/10.22201/iibi.24488321xe.2018.74.57910
Anton-Bravo A, Serrano-Tellería A (2021) Innovation in journalism education through data science. Eur Public Soc Innov Rev 6(1):70–84. https://pub.sinnergiak.org/esir/article/view/150
Arcila-Calderón C, Barbosa-Caro E, Cabezuelo-Lorenzo F (2016) Big data techniques: large-scale text analysis for scientific and journalistic research. Profesional de la información 25(4):623–631. https://doi.org/10.3145/epi.2016.jul.12
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Gonzales-Mamani, G., Turriate-Guzman, A.M., Alarcón-Llontop, LR., Bravo-Guevara, D.R., Fernandez-Saucedo, Y.Z. (2024). Journalism and Big Data in Scopus: A Systematic Review. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Intelligent Strategies for ICT. ICTCS 2023. Lecture Notes in Networks and Systems, vol 941. Springer, Singapore. https://doi.org/10.1007/978-981-97-1260-1_3
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