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In the Fourth Industrial Revolution, journalism cannot remain oblivious to the innovations brought about by the socio-technological reality. Artificial intelligence (AI) is one of the technologies on the rise, although the Spanish media have incorporated it little, experimentally and in specific sections. This research has two objectives: 1) to know the state of development of AI in the Spanish digital media and the industry's perception of the impact of this technology on the profession; 2) to explore a human vs synthetic text generation detection method to assess whether generative AI is being used in media. A comparative study was carried out between two media of reference in Spain, one matrix and conservative ideology (El Mundo), and another digital native and progressive trend (eldiario.es). The methodology was based on methodological triangulation and included a survey and an experiment with ChatGPT to detect whether a sample of texts published in these two media was created by humans or machines. The results diagnose that none of these newspapers apply AI, although they are designing plans to do so, and that there seems to be a lack of AI experts in the newsrooms, although a significantly higher predisposition towards AI in the native media is not confirmed as opposed to the matrix. The analyses carried out confirm that generative AI is not used to create texts. The method applied can be used in other studies because its validity is confirmed to provide clues about the human or artificial origin of journalistic texts. [ABSTRACT FROM AUTHOR]

News media and journalists must adapt to emerging platforms in order to respond to changing news consumption habits. This article addresses the trend of Social Media Live Streaming on Twitch, a platform that has experienced significant growth since 2020. The research pursues the main objective of finding out how Spanish media and journalists are adapting to this platform and what possibilities it offers to the journalistic profession, in terms of business model as well as in communicative style, formats and relationship with the audience. An exploratory analysis made it possible to identify 55 channels and to establish, in the first phase of the research, two categories of study: channels driven by journalists --with a background in digital or legacy media-- or by news media --digital natives or legacy ones--. In a second phase, seven representative cases were studied through content analysis of their profiles and streams, as well as interviews with the promoters. The results reflect an initial stage in the development of news initiatives on Twitch, characterized by experimentation and diversity of projects. In general, there is no great innovation in content and formats, which are based on conversation. There is a hybridization of information and entertainment in live broadcasts which, although providing rigorous information and featuring experts, maintain a relaxed tone and make use of humor. The relationship with the audience is built through the chat, a central element during broadcasts, and subscriptions from viewers, which are the main source of income for the channels. [ABSTRACT FROM AUTHOR]