Education

Yonsei University Graduate School

M.A. in Sociology • Mar, 2016 — Aug, 2018 (Scheduled)

Yonsei University

B.S. in Sociology • Mar, 2008 — Mar, 2016

Seoul Science High School (Early Graduation)

Mar, 2006 — Feb, 2008

Academic Interests

Social Movements, Political Psychology, Emotion and Morality, Homophily in Cultural Groups, Media Attention.

Refereed Publication

A Comparative Analysis of Nuclear Energy Issue Frames in Press Releases and News Articles

Taejun Lee, Seungbae Lee, and Changdong Oh.

[code & summary] / [paper]

Taejun Lee, Seungbae Lee, and Changdong Oh. 2017. "A Comparative Analysis of Nuclear Energy Issue Frames in Press Releases and News Articles: A Topic Modeling Approach." Korean Journal of Communication Science. 17(3): 172~229. DOI 10.14696/jcs.2017.09.17.3.172

Academic Conferences

The Dark Side of Moral Politics: How Moral Frames Make an Adversary in Party Politics?

113th Annual Meeting of the American Sociological Association

Aug 11-14, 2018 (Philadelphia, USA)
Round Table of Political Sociology Session.

The Evolution of Moral Politics: Analysis on Moral Foundations of Korean Parties 2008-2016

3rd International Conference on Computational Social Science(IC2S2)

Jul 11-13, 2017 (Cologne, Germany)
Peer-reviwed Regular Session.

Begging Morality: Automated Text Analysis on Moral Rhetoric of Korean Presidential Election in 2012.

18th Annual Conference of the Hong Kong Sociological Association

Dec 03, 2016 (Hong Kong)

Annual Conference of the Korea Academy of Complexity Studies

Nov 26, 2016 (Seoul, Korea)
Best Graduate Student Presentation Award.

Analysis on the Voter Mobilization Strategy of Korean Political Parties Based on Latent Dirichlet Allocation

Korean National Conference for Sociology Graduate Students

Aug 29, 2016 (Seoul, Korea)

Work in Progress

The Dark Side of Moral Politics: How Moral Frames Make an Adversary in Party Politics?

Changdong Oh

[code & summary]

The Answer is in Their Face!: Emotional Analysis on the Candidates' Verbal and Non-verbal Communitation Styles.

Changdong Oh

[code & summary]

How Korean Media Frame Victims of Sexual Harassment

Changdong Oh, Jina Lee, and Jeong-han Kang

[code & summary]

When Fairness Meets Hatred: Moralized Attitudes of Metoo Movement and Its Polazation in Korea

Changdong Oh and Jina Lee

[code & summary]

Academic Activities and Research Grants

Social Science Korea: Social Science Data Innovation Center

Research Assistant • Feb, 2016 - Feb, 2018

National Research Foundation of Korea

Brain Korea 21+: Social Solidarity and Mutualism

Research Assistant • March, 2016 - Feb, 2018

National Research Foundation of Korea

Public Opinion on the Nuclear Energy Industry in South Korea

Research Assistant • Sep, 2016 - Feb, 2017

Korea Ministry of Trade, Industry and Energy

How Korean Media Frame Victims of Sexual Harassment

Co-investigator ($9,000) • June, 2018 - July, 2018

Korea Ministry of Gender Equality and Family

Teaching and Invited Lectures

Elementary Python Programming

Teaching Assistant (to Jeong-soo Park)

Department of Sociology, Yonsei University • Jan 15-19, 2018

Supported to teach elementary Python programming lecture and managed a Q&A mailing list.

[code & summary]

Analysis in Social Research

Teaching Assistant (to Prof. Jeong-han Kang)

Department of Sociology, Yonsei University • Fall Semester, 2017

Taught a syntax-based SPSS programming, Advised students to conduct a survey and analyze it.

[code & summary]

Elementary R Programming

Teaching Assistant (to Bonsang Koo, Ph.D.)

Social Science Data Innovation Center, Yonsei University • Aug, 2017

Supported to teach elementary R programming lecture.

[code & summary]

Yonsei RC 101

Teaching Assistant (to Prof. Bong-hwan Hahn)

University College, Yonsei University • Spring/Fall Semester, 2017

Graded assignments, Designed and ran online discussion sessions.

Semantic Network Analysis using R

Lecturer

Korea Development Institute • Dec 29, 2016

Taught a basic R programming, network analysis and visualization.

[code & summary]

Skills

Programming

Python, R, Java, JavaScript

Machine Learning

numpy & pandas, scikit-learn(Python)

Text Mining

nltk, gensim(Python) / tm, stm(R)

Statistical Analysis

Lasso and Ridge, Panel/Survival Analysis on STATA and R

Deep Learning Framework

Tensorflow, Pytorch

Network Analysis & Visualization

igraph(R), NetworkX(Python), Gephi, D3.js