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- Title
Word Embedding Models and the Hybridity of Newspaper Genres.
- Authors
Blankenship, Avery; Cordell, Ryan
- Abstract
The authors discuss the fluid nature of genre, emphasizing its contextual dependence and historical evolution. They argue that genre defies fixed definitions and can change over time and across readership. Through computational text analysis, particularly employing word embedding models, researchers can navigate the intricate landscape of nineteenth-century newspapers, uncovering hidden relationships between genres and challenging conventional taxonomies. This approach highlights the complexity of genre and offers insights into historical writing and reader perceptions.
- Subjects
NEWSPAPERS; MASS media genres; 19TH century history; NATURAL language processing; SEMANTICS
- Publication
American Historical Review, 2024, Vol 129, Issue 1, p148
- ISSN
0002-8762
- Publication type
Article
- DOI
10.1093/ahr/rhad493