Abstract

This study aims at discovering social desires and conflicts from subculture narrative multimedia. Since one of the primary purposes in the subculture consumption is vicarious satisfaction, the subculture works straightforwardly describe what their readers want to achieve and break down. The latent desires and conflicts are useful for understanding our society and realizing smart governance. To discover the social issues, we concentrate on that each subculture genre has a unique imaginary world that consists of inventive subjects. We suppose that the subjects correspond to individual social issues. For example, game fiction, one of the popular genres, describes a world like video games. Under game systems, everyone gets the same results for the same efforts, and it can be interpreted as critics for the social inequality issue. Therefore, we first extract subjects of genres and measure the membership degrees of subculture works for each genre. Using the subjects and membership degrees, we build a genealogy tree of subculture genres by tracing their evolution and differentiation. Then, we extract social issues by searching for the subjects that come from the real world, not imaginary. If a subculture work criticizes authoritarianism, it might include subjects such as government officials and bureaucrats. A combination of the social issues and genre genealogy tree will show diachronic changes in our society. We have evaluated the proposed methods by extracting social issues reflected in Korean web novels.

Highlights

  • Smart city is a prospective research field to solve various urban problems [1,2] including city sustainability issues [3,4]

  • To discover subculture genres and their genealogy, we have concentrated on words used in different meanings from the general texts, since subjects and backgrounds of subculture works are imaginary

  • We evaluated the usefulness of the proposed social issue discovery method and validated the semantic consistency’s effectiveness for recognizing real world-oriented subjects in subculture multimedia (RQ 3)

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Summary

Introduction

Smart city is a prospective research field to solve various urban problems [1,2] including city sustainability issues [3,4]. The usage frequencies of ‘Streamer’ have been increased dramatically and have overtaken ‘BJ’ in 2020 These examples underpin that subculture narratives reflect social issues, and we can discover the reflected issues from trends of genres. This study proposes methods for discovering social issues by analyzing trends of subculture genres automatically.

Related Work
Discovering Social Issues from Subculture Multimedia
Genealogy Tree of Genres
Extracting Genre Keywords
Classifying Subculture Works into Genres
Building Genealogy Trees of Genres
Correlations of Genres with Social Issues
A Case Study on Korean Web Novels
Data Collection and Pre-Processing
Accuracy of Extracting Genre Keywords
Accuracy of Classifying Subculture Works into Genres
Accuracy of Building Genealogy Trees of Genres
Accuracy of Detecting Correlations of Genres to Social Issues
Findings
Conclusions
Full Text
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