Automatización del periodismo con inteligencia artificial generativa

Abstract

Abstract: This research analyzes the impact of automating journalistic processes using generative artificial intelligence agents. The study adopts a qualitative approach, based on semistructured interviews with journalists and a qualitative survey of professionals, students, and audiences. The results show that the main advantage attributed to artificial intelligence is efficiency in operational tasks, particularly: transcription, translation, spelling and grammar correction, summarization, and data analysis. However, participants agree that AI should not replace journalists. Among the main concerns identified are the dehumanization of content, decontextualization, the spread of fake news, and plagiarism. Consequently, the study identifies transparency, verification, and editorial accountability as essential conditions for ensuring the credibility of AI-generated or AI-assisted content. Furthermore, the findings show that automation is redefining the role of the journalist. Finally, the study concludes that the future of journalism points toward hybrid human-machine models, where technology optimizes technical processes and journalists retain essential functions of investigation, contextualization, and critical judgment.