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portfolio
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publications
Social Geography of Novelists Mediated by Literature Magazines in Korea: 1994~2014
(문예지를 매개로 한 한국 소설가들의 사회적 지형: 1994~ 2014)
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.
The Influence of Writer-Critic relationships and Critic’s Structural Positions on the Sales Growth in Book Market: 2010-2015
(작가-비평가 관계와 비평가의 구조적 위치가 소설 단행본 판매량 증감에 미치는 영향: 2010-2015)
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.
The Shifting Aspects of Concept Words Shown in Criticism in Literature Magazines, 1995~2015
(비평 언어의 변동: 문예지 비평 텍스트에 나타난 개념단어의 변동 양상, 1995~2015)
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.
Discursive Correlation between Seobuk Hakhoe Wolbo and Taeguek Hakbo Using Digital Humanities Methodology
(디지털인문학 방법론을 통한 서북학회월보와 태극학보의 담론적 상관관계 연구)
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.
The Changes and Prospects of Studies on Modern Korean Literature Data Analysis of Doctoral Dissertations from 2000 throughout 2019
(박사학위 논문(2000~2019) 데이터 분석을 통해 본 한국 현대문학 연구의 변화와 전망)
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.
A value of civic voices for smart city: A big data analysis of civic queries posed by Seoul citizens
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.
Coming of Platform Society: The Challenge of Digital Platform and Its Impact on Social Order
(플랫폼 사회가 온다: 디지털 플랫폼의 도전과 사회질서의 재편)
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.
Structural Topic Model Analysis of Mask-Wearing Issue Using International News Big Data
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.
Distant Reading on ‘Uri’― Word2Vec and N-gram Analysis on Modern Korean Novels
(멀리서 읽는 “우리”― Word2Vec, N-gram을 이용한 근대 소설 텍스트 분석)
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.
The Possibility of Bibliometric-based Conceptual History Research
(계량서지학 기반 개념사 연구의 가능성)
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.
Mapping the knowledge structure of Korean humanities: Bibliographic data analysis of humanities journal articles in the Korea citation index, 2004~2019
(한국 인문학의 지식구조 파악 : KCI 인문학 논문의 서지 데이터 분석, 2004~2019)
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.
Media coverage of the conflicts over the 4th Industrial Revolution in the Republic of Korea from 2016 to 2020: a text-mining approach
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.
News big data analysis of international start-up innovation discourses through topic modelling and network analysis: comparing East Asia and North America
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.
Reading Digitally and Writing with Data: Exploring Digital Korean Language and Literature
(디지털로 읽고 데이터로 쓰다:디지털 한국어문학의 모색)
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.
Kim Yunsik and Our Epoch, A Demographic Viewpoint of Citation - Korean Modern Literature Researchers’ Citation Patterns of Kim Yunsik’s Writings by Gender and Generation, 2004-2019
(김윤식과 우리 시대, 인용의 인구사회학적 시좌-현대문학연구자의 성별 및 세대별 김윤식 저술 인용 양상 연구 (2004-2019)-)
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.
Opening the Blackbox of Computational Social Science Research Process: A Case of Comparative Study of Social Science Academia
(전산사회과학 연구과정의 블랙박스 열기: 아카데믹 데이터베이스를 활용한 비교사회학 연구를 중심으로)
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?
Minjok, Gungmin, Gukga - Tracking Changes in the Meaning of National Discourse in Chosun Ilbo Articles Using Dynamic Word Embedding (1920-40)
(민족, 국민, 국가-시계열 워드 임베딩을 활용한 조선일보 기사의 민족 담론 의미 변동 추적 (1920~40))
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.
A Soft Power Challenge, or an Opportunity? A Big Data Analysis on Chinese Soft Power during COVID-19 Pandemic
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.
The Korean Speech Recognition Sentences: A Large Corpus for Evaluating Semantic Context and Language Experience in Speech Perception
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.
Portraits of Foucault in the Realm of Korean Modern Literature: Tracing Changes in Foucault Citations through Bibliographic Data from KCI-Indexed Journals, 2008-2021
(푸코의 초상 - 한국 현대문학 학술장의 푸코 인용 양상 변화, 2008-2021 KCI 등재 학술지 논문 참고문헌 데이터를 중심으로)
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.
Voices of transitions: Korea’s online news media and user comments on the energy transition
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.
The role of English Wikipedia in mediating East Asian historical disputes: the case of Balhae
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.
talks
“Your Voices Have Been Heard”: Moving Toward Smart City by Innovating the Way of Processing Civil Complaints
Published:
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.”
A Cross-Cultural Comparative Study on the Startup Discourse in 2000–2019 between United States and China
Published:
This essay explores significant cultural differences on startup discourses between United States and China by demonstrating a big data analysis through Structural Topic Modeling.
Investigating the relationship between news characteristics and user reacting, recommending, and commenting
Published:
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.
Quantitative methodology on the success factors of Squid Game based on the worldwide audience responses
Published:
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.
Voices of Transitions: Korea’s Online News Media and User Comments on the Energy Transition
Published:
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.
OpenAlex Database for Computational Literary Studies and Digital Intellectual History
Published:
Presentation
This presentation will elucidate the structure and utility of the OpenAlex database, emphasizing its relevance to computational literary studies and digital intellectual history.
Varieties of Korean Studies, Now and Then: A Digital Intellectual History of Korean Studies, 2000-2023
Published:
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.
teaching
Understanding the AI Society
(인공지능사회의이해)
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.
Virtual and Augmented Reality
(가상현실과증강현실)
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.
Korean-based Artificial Intelligence & Data Science
(한국어인공지능데이터과학)
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.
Research on Data Analysis of Contemporary Korean Literature
(한국현대문학데이터분석연구)
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.
Designing and Building Chinese Cultural Data
(중국문화데이터설계와구축)
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.
Confucian Self-cultivation and Actualization
(유교의수양과자기실현)
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.
Literature as Data: The Potential of Quantitative Text Analysis
(데이터로서의 문학: 텍스트 정량분석의 잠재력)
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.
Introduction to Digital Humanities Ⅱ: Computational Literary Studies
(디지털인문학입문 Ⅱ: 문학)
Undergraduate Major Courses, College of Liberal Arts, Korea University, 2023
This course will introduce the research practice of computational literary studies and apply quantitative methods to literary works and literary history.
Modern Korean Subwords and Dynamic Word Embedding
(근대 한국어 서브워드와 시계열 워드 임베딩)
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.
Social Network Analysis for Digital Humanities
(인문연결망분석)
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.
Digital Korean Language and Literature Research Methodology 1
(디지털한국어문학연구방법론1)
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.