Finding Fascists, Efficiently! Comparing methods for mapping attitudes in Dutch and Belgian historical newspaper corpora (1920-1940)
We investigate the needs of analyzing historical attitudes to Hitler and Mussolini using digitized historical sources and a computer-assisted approach. We believe that the principles of 'minimal computing' are worth a comparison with established, resource-heavy approaches. In terms of social equity and global access, efficient methods offer opportunities for improvement.
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Dokumenttyp: | conferencePaper |
Erscheinungsdatum: | 2023 |
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Zenodo
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Schlagwörter: | Paper / Long Presentation / text mining / minimal computing / historical newspapers / contemporary history / artificial intelligence and machine learning / meta-criticism (reflections on digital humanities and humanities computing) / physical & minimal computing / text mining and analysis / History / Media studies |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28640636 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.5281/zenodo.8107365 |