Rchr
J-GLOBAL ID:202001006901503952   Update date: Jun. 29, 2022

Zeyu Lyu

リョ ザワウ | Zeyu Lyu
Affiliation and department:
Homepage URL  (1): https://zeyu-lyu.netlify.app
Research theme for competitive and other funds  (2):
  • 2020 - 2022 Investigating the mechanism political polarization on social media
  • Sentiment analysis on social media: Combining natural language processing and network analysis to examine how social media shape opinion dynamics
Papers (4):
  • Zeyu Lyu, Hiroki Takikawa. Disparity and Dynamics of Social Distancing Behaviors in Japan: An Investigation of Mobile Phone Mobility Data. JMIR Medical Informatics. 2022. 10. 3. e31557
  • Maoxin Ye, Zeyu Lyu. Trust, Risk Perception, and COVID-19 Infections: Evidence from Multilevel Analyses of Combined Original Dataset in China. Social Science & Medicine. 2020. 265. 113517
  • Zeyu Lyu. Ideological and Behavioral Perspectives on Political Polarization: Evidence from Japan. 理論と方法. 2020. 35. 2. 170-183
  • Lyu Zeyu. Towards an Understanding of Online Extremism in Japan. IEEE/WIC/ACM International Conference on Web Intelligence on - WI '19 Companion. 2019. 7-13
Lectures and oral presentations  (16):
  • Cross-Cutting Interaction, Inter-Party Hostility, and Partisan Identity: Analysis of Affective Polarization in Social Media
    (The Seventh Joint Japan-US Conference in Mathematical Sociology and Rational Choice 2022)
  • Differences in response to behavior restriction policies under the COVID-19 epidemic in Japan in terms of gender, age group, and income level of the residence.
    (The Seventh Joint Japan-US Conference on Mathematical Sociology and Rational Choice 2022)
  • Cross-Cutting Interaction, Out-Group Hostility, and Partisan Identity: Investigation of Affective Polarization on Social Media
    (2022 International Conference on Computational Social Science 2022)
  • Cross-Cutting Interaction, Out-Group Hostility, and Partisan Identity: Investigation of Affective Polarization on Social Media
    (CSSJ2022 2022)
  • Anti-China sentiments during the COVID-19 pandemic: An analysis using deep learning methods
    (International Conference on Computational Social Science (IC2S2 2021) 2021)
more...
Education (3):
  • 2019 - 2022 Tohoku University
  • 2017 - 2019 Tohoku University
  • 2012 - 2016 Northeastern University(China) Journalism
Work history (1):
  • 2022/04 - 現在 The University of Tokyo Institute of Social Science
Awards (1):
  • 2022/03 - 東北大学 東北大学総長賞
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