Accessible Digital Content in Academic Literature: A Bibliometric Perspective

Accessible digital content ensures that individuals, regardless of their conditions, can access, understand, and utilize available digital information. To determine the relevance of this topic within the scientific community, this study aims to analyze the scientific production related to accessibility and digital content through a bibliometric review of documents indexed in the Scopus database, with the earliest publication dating back to 2002. The methodology was based on the bibliometric analysis model proposed by Aria and Cucurullo, employing five phases: scope definition, data cleaning, productivity and collaboration analysis, citation impact analysis, and keyword co-occurrence analysis. A total of 268 documents, with a cutoff date of February 25, 2025, were analyzed using the Bibliometrix tool in R. The results demonstrate significant growth in scientific production starting from 2018, reaching its peak in 2024. The United States and the United Kingdom lead in production, while Latin America shows limited participation. Among the most frequent keywords, 'digital contents,' 'accessibility,' and 'elearning' highlight the connection to inclusive education, alongside a growing trend towards the use of emerging technologies such as artificial intelligence.