How can we trace intangible historical phenomena, such as worldviews, cultural representations, or cultural-political movements through large-scale audiovisual archives? While the hermeneutic tradition of close reading has long provided a foundation for analyzing small-scale historical materials, the rise of digital sources presents new challenges and opportunities. When engaging with vast datasets, the intuitive processes of qualitative analysis must be made explicit, translating human insights into computational terms. This requires us to define the phenomenon under study more explicitly, identify its measurable units within the data, and critically evaluate how both the available data and applied methods allow us to address the research question.
„Mila Oiva: Chasing Leninism with AI. Using Computational Methods to Trace Cultural Phenomena through Historical Audiovisual Materials“ weiterlesenMila Oiva: Chasing Leninism with AI. Using Computational Methods to Trace Cultural Phenomena through Historical Audiovisual Materials
