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The era of mobile media has placed communications convergence at a new stage. The importance of studies about mobile communications has been growing increasingly over the last years. This growth is connected to the increase in the access to contents through new devices. The last ten years have seen a process of acceleration in mobile technology innovations. The peak of this new scenario has been the interest of the research community in investigating the relationship between such innovations and the spread of informative contents. This article analyses those studies that address the relation between mobile devices and communication and journalism. The main objective is to clarify the current state of these studies as well as to define their significance within the current convergence scenario. In order to reach such objectives, a Systematic Literature Review (SLR) was conducted. The authors analysed 199 research articles published between January 2008 and May 2018 in the database Web of Science. The findings suggest that the United States has the largest number of studies in relation to this topic. We can pinpoint the highest increase in scientific production about journalism and mobile communications in 2013. Besides, it exists a dominance of those articles related with actants upon those ones about actors or audiences.

The paper aims at understanding the intersections between technology and the professional practices in some of the new trends in journalism that are using the new tools: multimedia journalism, immersive journalism, and data journalism. The great dilemma facing journalism when training new professionals--especially the youngest--is not the training in new technologies anymore. The main concern lies in taking advantage of their skills to create a new computational model while keeping the essence of journalism. There is a twofold objective: answering questions about which tools are being used to produce pieces of news, and which kind of knowledge is needed in the present century. Based on the review of reports from professional organizations and institutes, an exploratory research to 25 European and American journalists was developed. The authors selected three cases of study. The cases allowed the authors to conclude that the technology matrix is going to remain and that change and digital process is not turning back and demands to evolve and adapt to new dynamics of work in multidisciplinary teams where the debate between journalists and technologists must be ongoing. Different approaches nourish the double way of skills and competences in the profiles of the current technological journalist, which professionals perceive as a demand in the present ecosystem.

Digital journalism is facing a growing number of challenges as the wave of digital transformation enters a new phase. The changes, both slow and sudden, are making it increasingly necessary for there to be a shift amid the transition. The surge of artificial intelligence (AI) in the journalistic world has ushered in what appears to be a new phase for digitalisation and journalism's role as a producer of factual information and knowledge in society. Current debates suggest that we are at a critical time to reinvent journalism for the new wave of digital transformation. In this stage, which recently began and which some are calling the Fourth Industrial Revolution, both professionals and academics point to the need to make journalism more resilient, so it can adapt to the changes without losing its basic essence, and more people-centred, helping to support individuals in the age of AI. This article analyses the challenges from the perspectives of both academics and professional journalists, based on their codes of ethics. The methodology used is a content analysis of 45 European ethical codes and the Delphi method, involving experts from the journalistic sector and academia. The results highlight that codes of ethics have not kept pace with these professionally and expert-led debates, as few mention new technologies such as artificial intelligence and they tend to focus more on disinformation and social engagement. [ABSTRACT FROM AUTHOR]

The artificial intelligence (AI) tools in editorial departments have become common practice within news organisations, which poses challenges for digital journalism. It treads new terrain for both media professionals and their audiences, and it is safe to assume there is no going back to the way things were. These advances in the field require new frameworks and codes of ethics that include ethical principles to mitigate the use of AI in journalism. The fast incorporation of AI into media production processes is marked by a tendency towards the loss of citizens’ trust in the information that media offers, political polarization, and the increasing impact of misinformation. This article analyses the perception of communication professionals in this new scene through the analysis of 99 codes of ethics and 14 international press associations. In addition, audience perception is addressed through a survey taken by nearly 2,000 people. The results indicate that both the public and journalists are worried about misinformation that AI might cause and the potential erosion of trust between journalist and the public . Overwhelmingly, people are advocating for external regulation of its use to preserve the values, the ethical principles, and good practices of journalistic work. [ABSTRACT FROM AUTHOR]

The article discusses the integration of artificial intelligence (AI) in the communication sector, including news organizations, media, and journalism. It highlights the opportunities and challenges that AI presents, as well as the need for interdisciplinary perspectives and research. The article also explores the impact of AI on journalism, including issues related to copyright law and biases in AI-generated content. Additionally, it discusses the use of AI in fact-checking initiatives and the evolution of AI tools in the audiovisual industry. The article concludes by emphasizing the importance of continued research and mixed methodological approaches in studying AI in the communication sector. [Extracted from the article]

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