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Quantifying Quality: A Computational Approach to Literary Value in North Korea

Published online by Cambridge University Press:  24 February 2022

Benoit Berthelier*
Affiliation:
Faculty of Arts and Social Sciences, University of Sydney, Australia

Abstract

This article analyzes questions of literary production and literary value in the Democratic People's Republic of Korea (DPRK) using quantitative methods and data sets covering a significant part of the country's literary and intellectual output over forty years (1977–2016). The first part of the article adopts a thematic approach, using topic modeling and time series, to map the DPRK's literary output and investigate the influence of genre on literary consecration. The second part looks at questions of style and literary quality in the DPRK through a comparative analysis of multiple novels grouped by degree of literary prestige. It introduces a method to evaluate the originality of an author's writing style using a masked language model (BERT) and uses it to assess the role of conformity and originality in the DPRK's literary field. Even though writers consecrated by the state display a high level of stylistic conformity when writing mandated biographies of the ruling family, their independent output ranks higher in originality than nonconsecrated writers.

Information

Type
Research Article
Copyright
Copyright © The Association for Asian Studies, Inc. 2022
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Table 1. Topics and their most representative words

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Figure 1. Distribution of genres in the short stories published by Chosŏn Munhak, 1977–2016.

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Figure 2. Yearly number of short stories published in Chosŏn Munhak for each genre considered (three-year moving average smoothing).

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Figure 3. Distribution of genres in short stories of writers from the April 15 LPU before their admission to the group. Statistically significant differences with non-LPU writers are marked with an asterisk.

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Figure 4. Distribution of genres for short stories of writers from the April 15 LPU after their admission to the group. Statistically significant differences with non-LPU writers are marked with an asterisk.

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Figure 5. Distribution of genres in short stories of “old guard” writers before their admission to the LPU (N = 18). Statistically significant differences with the “young guard” are marked with an asterisk. Statistically significant differences with the output of non-LPU writers before 1991 are marked with a cross.

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Figure 6. Distribution of genres in short stories of “new guard” writers before their admission to the LPU (N = 44). Statistically significant differences with the “old guard” are marked with an asterisk. Statistically significant differences with the output of non-LPU writers after 1991 are marked with a cross.

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Table 2. Descriptive statistics for the five corpora

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Figure 7. Boxplots of the originality scores for 10,000 sentences from each of the five corpora. The green solid lines are the medians and the red dotted lines the means.

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Appendix 1. The 24 writers from the April 15 LPU used for analyzing the output of canonized writers before and after they achieved recognition

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Appendix 2. Proportion of the publications in the corpus used for the training of a North Korean BERT. The final corpus corpus is 1.2 gigabytes, containing 4,428,438 sentences and 208,638,834 words. The data were scraped from the web or extracted from electronic books obtained in the DPRK