Word Embedding Models and the Hybridity of Newspaper Genres.

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...

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Bibliographic Details
Published in:American Historical Review Vol. 129; no. 1; pp. 148 - 153
Main Authors: Blankenship, Avery, Cordell, Ryan
Format: Article
Published: Oxford University Press / USA Mar2024
Subjects:
Online Access:View this record in EBSCOhost
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          Blankenship, Avery
          Cordell, Ryan
      su:
        Newspapers
        Mass media genres
        19th century history
        Natural language processing
        Semantics
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          Newspapers
          Mass media genres
          19th century history
          Natural language processing
          Semantics
      ab: 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.
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    language: English
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