Abstract

Some aspects that have characterized the evolution of online media over the last year are analysed, paying special attention to pending matters still to be addressed. Since the advent of the internet, media have delegated their survival to technological innovations, and 2014 was no exception. Data journalism, robot journalism, and hi-tech journalism..., are some of the labels devised for different technological models by online media worldwide last year. However, user-centred innovations are the most creative and potentially successful ones.

Abstract

Computational journalism has burst into the intense panorama of journalistic innovations, due to its great impact potential on newsrooms. Given the recent implantation of this specialty, still in the experimental phase in the newsrooms that have incorporated it, in this work we present an exploratory result on computational journalism, at the same time that we relate it with well-established variations of journalism, such as data journalism. The work has been carried out from the review of the main reports on this matter, as well as from a series of case studies. The results can help both to focus new research in this field, and to complete the panorama of innovation for professionals and researchers in the sector who need to have a global vision of the impact that computer journalism can have.

Abstract

The perception that exists in the professional and academic sector about the use of artificial intelligence in journalism is analyzed. The work has been developed over eleven months through interviews with heads of innovation from several national media (N=10) and university professors (N=10) and questionnaires to journalists (N=251) and students of Journalism and Audiovisual Communication (N=194). The results show a coincidence in both discourses in that this technology will not have a negative impact on the journalistic labor market. There is also a consensus that the quality of automated news presents some important shortcomings, as well as the need to bet on a solid training of journalists that integrates the use of emerging technologies.

Abstract

Journalism has been able to adapt quickly to technological innovation, especially in recent years. The application of algorithms and artificial intelligence (AI) to this discipline is a phenomenon that has developed rapidly in a very short time. This is therefore a research area that, in spite of its short life, deserves special interest. The objective of this review article is to map and analyze the global scientific production on this topic and to identify which countries are most focused on this issue, which areas are studied most and using which methodological approaches, how and where it is evolving, and the gaps present in this research. The review of 358 texts confirms the considerable attention from academia during the last decade, especially between 2015 and 2020, and that the USA is, by far, the country with most publications on this subject. Most of the published works are research articles carried out, above all, using qualitative methodologies. The areas that have attracted the most interest to date are data journalism, robot writing, and news verification. As is to be expected in a developing discipline, others such as the review of the role of the journalist, the personalization of content, or the incorporation of AI into teaching of journalism have not yet been sufficiently explored but surely will be in the near future.