Biography
Zeyu Lyu is an Associate Professor at Graduate School/Faculty of Arts and Letters, Tohoku University. Previously, he was a Project Researcher at the Institute of Social Science, The University of Tokyo. His primary interests involve employing big data and computational methods in the area of sociology, communication and politics.
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Interests
- Computational Social Science
- NLP
- Large Language Models
- Political Communication
- Mobility Segregation
Education
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PhD, 2019-2022
Computational Humanities and Social Sciences, Tohoku University
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Master, 2017-2019
Behavioral Science, Tohoku University
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BS, 2012-2016
Journalism, Northeastern University (China)
Publications
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(2023).
Digitization of weather records of Seungjeongwon Ilgi: A historical weather dynamics dataset of the Korean Peninsula in 1623–1910.
Geoscience Data Journal.
(2023).
Cross-cutting interaction, inter-party hostility, and partisan identity: Analysis of offensive speech in social media .
New Media & Society.
(2022).
Media framing and expression of anti-China sentiment in COVID-19-related news discourse: An analysis using deep learning methods.
Heliyon.
(2022).
Disparity and Dynamics of Social Distancing Behaviors in Japan: An Investigation of Mobile Phone Mobility Data.
JMIR Medical Informatics.
(2020).
Trust, Risk Perception, and COVID-19 Infections: Evidence from Multilevel Analyses of Combined Original Dataset in China .
Social Science & Medicine.
(2020).
Ideological and Behavioral Perspectives on Political Polarization: Evidence from Japan.
理論と方法.
(2019).
Towards an Understanding of Online Extremism in Japan .
IEEE/WIC/ACM International Conference on Web Intelligence on - WI ‘19 Companion.
Research Projects
Investigation of Opinion Polarization in Online Communication: Towards an Integration of Explanation and Prediction (PI)
Based on a computational social science framework, the research sets out to explore the causal mechanism and construct a predictive model of opinion polarization in online communication.
動的多細胞コミュニティの数理社会解析(研究協力者)
Investigating the mechanism political polarization on social media (PI)
Employ social media data and computational methods to investigate how exposed information can affect the formation of opinions and provide a more comprehensive understanding on political polarization.
Sentiment analysis on social media: Combining natural language processing and network analysis to examine how social media shape opinion dynamics (PI)
The Division for Interdisciplinary Advanced Research and Education Research Grant
Investigate the opinion dynamics on social media through the combination of natural language processing and network analysis methods.
Affiliation
Associate Professor
Project Researcher
The program develops outstanding human resources for creating a new industrial field called Artificial Intelligence Electronics (AIE). In this field, the objective would be to conduct research and development on algorithms and computer programs for AI and artificial intelligence architecture.
The DIARE promotes the education of young world-class researchers capable of forging new research areas by merging different disciplines in collaboration with the students' original graduate schools.
Recent Posts
Skills
R
Python
Statistics
NLP
Graph Machine Learning
Deep Learning