This chapter considers the presence, retrievability, and analysis relating to women, gender, and COVID-19 in web archives, based on research in the international “novel coronavirus IIPC collection”. It focuses on challenges raised by the huge IIPC collection regarding multilingualism, “big data”, access and searchability, silence and noise, duplicates and loss of information, and the use of the Archives Research Compute Hub (ARCH) interface, developed by the Archives Unleashed Team. It shares the debates and technical challenges we faced, specifically in selecting computational tools and algorithms for conducting text mining and topic modeling. It also investigates issues relating to transnational studies, digital methods, collaborative work, scalable reading, and gender studies, while reflecting on asymmetries, invisibility, and inclusiveness in web archives.
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