Analysis of Wikipedia Coverage in Spanish-Language Media between 2013 to 2023

This article analyses Wikipedia's coverage in news from Spanish-speaking digital media. Framing Theory is used to examine how media outlets present Wikipedia in their article headlines. A total of 652 news articles were analyzed from the Factiva database between the years 2013 and 2023. Various analyses were conducted, including the distribution and temporal trends of the news, word frequency and heatmaps, the Latent Dirichlet Allocation (LDA) algorithm, and word co-occurrence in content and headlines. Natural language processing and machine learning techniques were applied for topic analysis. The results show that Spanish media has published the most about Wikipedia, with increased coverage during global events such as the COVID-19 pandemic and the Ukraine conflict. Controversies related to the biographies of public figures, particularly politicians, are also highlighted during key moments. Furthermore, the analysis reveals a gender bias, with women participating less in Wikipedia editing and content related to them being more frequently deleted. The study concludes that there is a need to promote greater diversity within the editing community and to implement further measures to mitigate biases on the platform.