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Published in The Journal of Korean Fiction Research, 2016
Using descriptive and inferential network statistics, we found the evidence that there was a significant correlation between the literature activities and the social backgrounds of the novelists.
Published in The Journal of Modern Korean Literature, 2016
We statistically analyzed the influence of critics on the book’s sales using longitudinal data of book sales, bibliographies of the three major publishers, and the socio-demography of writers and critics.
Published in Journal of Korean Modern Literature, 2017
This study analyzes the shifting aspects of critical language according to 3,057 criticism texts in three literature magazines (Changjakkwapipyong, Munhaktongne, and Munhakkwasahoe) from 1995 to 2015.
Published in CONCEPT AND COMMUNICATION, 2019
In a quantitative analysis of correlations among a wide variety of academic and association publications between 1905 and 1910 (the modern enlightenment period), these two showed the greatest degree of similarity, with the sole exception of correlations among Japanese and Korean student magazines.
Published in Sanghur Hakbo: The Journal of Korean Modern Literature, 2020
These findings suggest that the academia of modern Korean literature began to fissure, thereby gaining differences and diversities.
Published in CITIES, 2021
This study introduces a novel approach to analyze diverse informal civic query data for a city and plan the city in a way that its residents want.
Published in Hanul Academy, 2021
This book is the result of a collaborative research project centered on the Korean Sociological Association to comprehensively explore various issues raised by the platform society.
Published in International Journal of Environmental Research and Public Health, 2021
This study collected and analyzed 58,061 international news items related to mask-wearing from 1 January 2019 to 31 December 2020. The collected dataset was compared before and after the World Health Organization’s pandemic declaration by applying structural topic model analysis.
Published in DAEDONG MUNHWA YEON'GU, 2021
Although it has taken quite a long time to discuss the Korean term ‘Uri’ until recent days, it is still in a stalemate without a clear explanation. Through applying quantitative research methodology so-called ‘Distant Reading’, this paper explores the new way to solve the problem.
Published in CONCEPT AND COMMUNICATION, 2021
The proposed research in conceptual history will employ bibliographic information and meta-bibliometrics as the primary data sources and approaches.
Published in Doctoral dissertation, Sungkyunkwan University, 2022
This study analyzes the bibliographic information of around 250,000 KCI humanities papers published between 2004 and 2019 in order to comprehend the knowledge structure of Korean humanities over the previous 15 years. Bibliographic information used in the analysis includes text information such as the thesis’s title, abstract, and keywords, citation information such as the number of citations and references, and demographic information such as the gender, age, and academic institution of the researcher who wrote the thesis.
Published in Asian Journal of Innovation and Policy, 2022
The current study investigated media coverage regarding conflicts related to the 4th Industrial Revolution from 2016 to 2020 in the Republic of Korea, applying text-mining techniques.
Published in Asian Journal of Technology Innovation, 2022
We conducted a comparative study with North America to comparatively analyze how startup innovation in East Asia appeared. This study used a set of computer analysis methods including Dirichlet-multinomial regression Topic Model and Topic network analysis.
Published in Bakmunsa, 2023
The book comprises a compilation of essays authored by 13 researchers, along by their corresponding debates organized into six thematic categories. It can be asserted without hyperbole that this publication serves as a comprehensive and foundational resource for delving into the realm of digital Korean literature.
Published in Korean Language and Literature in International Context, 2023
This thesis aims to examine citation practices and the use of Kim Yunsik’s texts in theses on modern literature. The thesis addresses three key concerns: which of his writings were most frequently referenced, who most frequently cited his writings, and how were his works cited.
Published in Korean Journal of Sociology, 2023
How does the data science-driven sociology of knowledge work? What are the strengths and limitations of the computational approach in the sociology of knowledge, and what kinds of methodological challenges exist?
Published in The Journal of Korean Fiction Research, 2023
This paper selects 844,251 regular articles from the Chosun Ilbo data, published from the first issue in 1920 to the last issue in 1940, and uses dynamic word embedding and trend tests to illustrate the changes in the meaning of national discourse-related vocabulary (‘minjok’, ‘gungmin’, and ‘gukga’) over time.
Published in Foreign Policy Analysis, 2023
This study aimed to look at how the Chinese soft power changed throughout the pandemic using English news articles that covered China. The research took a data science approach to investigate the contents of articles using machine-learning-based sentiment analysis and Dirichlet-Multinomial Regression (DMR) analysis.
Published in Journal of Speech, Language, and Hearing Research, 2023
The aim of this study was to develop and validate a large Korean sentence set with varying degrees of semantic predictability that can be used for testing speech recognition and lexical processing.
Published in Society and Theory, 2023
This study aimed to examine the role of Michel Foucault’s writings in modern Korean literary research by tracing the changes in citation patterns of his work in the Korean academic field of modern literature since the late 2000s.
Published in Energy Policy, 2024
Utilizing advanced machine learning approaches, we examined the media’s evaluation of energy transition, users’ emotions regarding it, and the influence of various features on commenters’ emotions and elaborations in comments.
Published in Asian Journal of Communication, 2024
Our research bridges this gap by investigating the role of online platforms in shaping public historical debates. We compare the portrayals of Balhae, an ancient kingdom with contested contexts between the two nations.
Published in Journal of Open Humanities Data, 2024
We applied our YOLOv5_FPC model to the Chosun Ilbo News Library archive (1920–1940) for automatic FPC data mining, spanning 47,777 JPG image files. We identified 1040 FPC objects within 1035 files, which include previously undiscovered FPCs by previous researchers.
Published in Digital+Humanities, 2024
This paper proposes the concept of ‘smart big data’ in Digital Humanities, combining the scale of big data with qualitative excellence, as a response to the growing but quality-limited use of big data in Korean DH research. It also emphasizes the importance of international DH experience and the need for context-specific adaptations in Korean humanities.
Published in The Korean Journal of Animation, 2024
This study analyzes the expansion and diversification of webtoon-related research in the Korean academic field, focusing on articles published in Korea Citation Index (KCI) journals from 2003 to 2023. Employing a digital humanities approach, we collected and preprocessed bibliographic information from 670 papers and conducted a structural topic modeling analysis.
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This study examined the voices of citizens of Seoul through the contents of Seoul’s civil complaints and suggestions platform, “Oasis of Ten Million Imaginations.”
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This essay explores significant cultural differences on startup discourses between United States and China by demonstrating a big data analysis through Structural Topic Modeling.
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This study investigates the relationship between news content attributes and user engagement activities. Specifically, we focus on news frame and negative emotion of COVID–19 vaccine stories to examine whether and how the content characteristics influence user reacting, recommending, and commenting behaviors.
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Presentation
This paper examines the global reaction to the Netflix original series Squid Game as a way of investigating who the actual authority to lead popularity has in the global OTT era.
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This study collected online news and relevant comments with keywords “energy transition” and the history of the commenters’ activities from the largest online news aggregator, Naver during the regime shift period in Korea from July 2021 to July 2022.
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Presentation
This presentation will elucidate the structure and utility of the OpenAlex database, emphasizing its relevance to computational literary studies and digital intellectual history.
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This paper analyzes 2,897 academic papers from seven journals on Korean studies, published between 2000 and 2023. Utilizing bigdata analysis, we argue that Korean Studies have formed a heterogeneous ecology of knowledge with increasingly various scholars, topics, and related disciplines.
Liberal Arts Courses, College of Liberal Arts, Baekseok University, 2020
This course aims to improve students’ comprehension of how artificial intelligence is permeating society on a daily basis.
Liberal Arts Courses, College of Liberal Arts, Baekseok University, 2020
Understanding virtual/augmented reality and looking at how people will live in a future society are the two main objectives of this course.
Undergraduate Major Courses, College of Liberal Arts, Sungkyunkwan University, 2021
This course is for under-graduates who want to become digital humanities researchers or to learn data-science to find a career.
Graduate Major Courses, Department of Korean Language & Literature, Sungkyunkwan University, 2021
This class aims to make a new interpretative attempt on the text of modern and contemporary Korean literature by applying various analytical methodologies of quantitative language analysis based on the database of modern and contemporary Korean literature data accumulated so far.
Undergraduate Major Courses, Division of Chinese Language, Literature & Culture, Hankuk University of Foreign Studies, 2021
Students who are majoring in Chinese language, literature, or culture will learn how to comprehend and create data for digital humanities research in this course.
Graduate Major Courses, College of Confucian Studies and Eastern Philosophy, Sungkyunkwan University, 2021
The ultimate goal is to bridge the gap between traditional Confucian methodologies, such as 下學上達, 思學竝進, and 修己治人, and their relevance in contemporary society.
Workshop, Center for Digital Humanities & Computational Social Sciences, KAIST, 2023
The course encompasses the field of Computational Literary Studies, which use quantitative methodologies to gain insights into the realm of literature.
Undergraduate Major Courses, College of Liberal Arts, Korea University, 2023
[Best Courses at Korea University]
This course will introduce the research practice of computational literary studies and apply quantitative methods to literary works and literary history.
Workshop, College of Liberal Arts, Korea University, 2024
This class develops a subword tokenizer specific to the Modern Korean corpus and uses dynamic word embeddings to explore diachronic lexical semantic change.
Graduate Major Courses, Major in Design·Digital Arts & Humanities, Hallym University, 2024
This class covers the application of social network analysis to the digital humanities.
Graduate Major Courses, Department of Korean Language & Literature, Sungkyunkwan University, 2024
This class covers digital humanities methodologies for graduate students majoring in Korean language and literature.