Research about the use of Artificial Intelligence applied to journalism has increased over the years. The studies conducted in this field between January 2008 and December 2019 were analysed to understand the contexts in which they have been developed and the challenges detected. The method used consisted of a systematic review of the scientific literature (SLR) of 209 scientific documents published in the Web of Science and Scopus databases. The validation required the inclusion and exclusion criteria, database identification, search engines and evaluation and description of results. The findings indicate that the largest number of publications related to this topic are concentrated in the United States and that the rise of scientific production on Artificial Intelligence in journalism takes place in 2015, when the remarkable growth of these publications begins, until reaching 61 in 2019. It is concluded that research is mainly published in scientific journals, which include works that handle a broad variety of topics, such as information production, data journalism, big data, application in social networks or information checking. In relation to authorship, the trend is the presence of a single signer.

Percepción de docentes universitarios, estudiantes, responsables de innovación y periodistas sobre el uso de inteligencia artificial en periodismo

The boom in artificial intelligence and automated technology in the journalistic profession has given rise to what are called synthetic media (Crusafon, 2022), media outlets that produce and publish texts, audio, videos, and other news content through processes executed solely by algorithms, without any intervention from journalists. This research has several objectives: to identify the first synthetic media outlets already operating, to describe how these newsrooms without journalists work, to better understand the type of content they produce, and to find out whether these are isolated and ephemeral operations or if, on the contrary, they mark the beginning of a trend toward journalism without the direct intervention of journalists. To this end, we have used an exploratory methodology, enabling us to identify four synthetic media outlets, which have been taken as an analysis sample: JX Press Corp (Japan); Reuters News Tracer (United Kingdom), News Republic (France), and Videre AI (Spain). An analysis of the news content on each project’s web pages was combined with in-depth semistructured interviews with the heads of technology and communication of the three European ventures. The Japanese initiative has no human staff, so its chatbot was the only way to obtain information. The purpose was to learn about the initiatives’ news production process, their impact on the journalistic profession, and their viability. This analysis helps demonstrate that the journalistic world’s reliance on artificial intelligence is becoming increasingly evident and that communication agencies are the first companies to invest in developing and distributing synthetic content to benchmark media. These initiatives, although still limited, are the most recent step in the process of gradually integrating artificial intelligence into news production.

Fact checking: un nuevo desafío del periodismo

La aplicación de la inteligencia artificial en el ámbito periodístico abre debates que van más allá de la sustitución del individuo por la máquina y que se trasladan al campo de la deontología profesional. El objetivo de esta investigación es analizar los principales retos éticos a los que se enfrenta la profesión con la llegada de esta tecnología emergente a las redacciones. Para alcanzar este propósito, se ha utilizado el método Delphi, en el que han participado un total de diez expertos nacionales del ámbito académico provenientes del campo de la deontología profesional periodística para ofrecer un discurso en torno a este tema de estudio. Los resultados evidencian, entre otras cuestiones, que es necesario revisar el Código Deontológico de la FAPE para adaptarlo al periodismo automatizado, sobre todo en materia de autoría, elaboración, transparencia y jerarquización de las informaciones redactadas a través de inteligencia artificial.

Este trabajo investiga el impacto de la inteligencia artificial (IA) en el periodismo y en la desinformación. El diseño metodológico para alcanzar este pro...