Literary Awards as Humanities Data: Measuring Prestige in the Digital Age – an Interview with James English

Abstract The utilisation of literary prizes within the domain of Digital Humanities signifies the emergence of a novel metric for evaluating prestige. In this interview, Xiaohe Rui and James English discussed the development of the field, as well as the challenges in bridging the disciplines, ethics and accessibility of prize data used in Digital Humanities. English introduced his research team’s work on literary data, using tools such as Python, Tableau, Gephi and t-SNE to generate insights and foster a dynamic, peer-driven learning environment that may offer greater pedagogical value than traditional English classes. He also emphasized that in order to comprehend literary prestige in the present age, it is necessary to examine the manner in which cultural value is disseminated across a variety of media platforms. This interdisciplinary, data-driven approach, English suggested, will persist as a vital and engaging niche within the domain of literary studies.

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Publication Details

Journal
Digital studies in language and literature
Published
2025-08-28
DOI
https://doi.org/10.1515/dsll-2025-0011
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Literary Awards as Humanities Data: Measuring Prestige in the Digital Age – an Interview with James English

Digital studies in language and literature
Geochemistry and Geologic Mapping
article

Literary Awards as Humanities Data: Measuring Prestige in the Digital Age – an Interview with James English

article en

Abstract

Abstract The utilisation of literary prizes within the domain of Digital Humanities signifies the emergence of a novel metric for evaluating prestige. In this interview, Xiaohe Rui and James English discussed the development of the field, as well as the challenges in bridging the disciplines, ethics and accessibility of prize data used in Digital Humanities. English introduced his research team’s work on literary data, using tools such as Python, Tableau, Gephi and t-SNE to generate insights and foster a dynamic, peer-driven learning environment that may offer greater pedagogical value than traditional English classes. He also emphasized that in order to comprehend literary prestige in the present age, it is necessary to examine the manner in which cultural value is disseminated across a variety of media platforms. This interdisciplinary, data-driven approach, English suggested, will persist as a vital and engaging niche within the domain of literary studies.

Digital studies in language and literatureVol. 2(2)
Xi'an International Studies University (CN), University of Pennsylvania (US)
Quality Education
Openalex Percentile: Top 63%
Geochemistry and Geologic Mapping
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