Producción científica sobre inteligencia artificial y desinformación. Análisis de las publicaciones indexadas en scopus

Abstract

Abstract: This paper presents a bibliometric analysis of scientific output on Artificial Intelligence (AI) and disinformation in the Scopus database. The objective was to identify research trends, collaboration networks, and emerging topics. To this end, an analysis was conducted of 240 Scopus documents indexed between 2020 and 2024, in which the following were identified: scientific production by year, authors, countries and institutions with the highest production, co-authorship networks, recurring topics, and research opportunities. Among other results, it was found that scientific production on AI and disinformation increased significantly from 2023 onwards, parallel to the rise of generative AI models and digital disinformation campaigns. The most productive authors are in the United States, Spain and the United Kingdom, and there are no significant co-authorship networks on the subject. Recurring topics focus on the automated detection of fake news and the risks of deepfakes, while an emerging topic is the social and ethical impact of AI-generated disinformation. It is concluded that the field is expanding and presents challenges in terms of scientific integration, global collaboration, and the development of a common interdisciplinary agenda.