The convergence of AI and journalism: transforming the information ecosystem

Introduction: Digital convergence has driven the immediate dissemination of information, but this affects and promotes challenges in conventional journalism such as the lack of verification and context. AI emerges as a key tool to improve the process of creating journalistic content in a precise and efficient way. Objectives: analysis of a case study, which exemplifies the implementation of AI in the journalistic field, allowing to evaluate its impact on quality, effectiveness, as well as the ethical aspect in the production of news content. Methodology: qualitative approach through the case analysis of the media outlet "Channel 1", founded in 2023. The use of artificial intelligence for the creation and dissemination of content on digital platforms was evaluated, considering consumption trends in social networks and the analysis of the algorithms used for the automatic generation of news and their impact on journalism. Results: the analysis conducted on "Channel 1", a media outlet founded in 2023 that uses AI to create content adapted for instant consumption on social networks. Its objective is to offer accurate information through algorithms that analyze trends. AI automates the writing of news stories, distributed across multiple platforms. Prioritize visual content and feedback with the audience for reliability and creativity. Conclusions: Traditional journalism prioritizes objectivity, the search for truth, but faces challenges in the digital environment. Digital journalism, on the other hand, is characterized by hyper textuality, multimodality, and interactivity, adapting to new forms of consumption. General area of study: communication. Specific area of study: journalism. Type of article: Bibliographic review-case study.

José Vinicio Palacios Carrillo, Galo Javier Vásconez Merino, Mercedes Itzayana Robalino Latorre

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