研究者詳細

顔写真

リヨ　ザワウ
Lyu Zeyu
Lyu Zeyu
所属
大学院文学研究科　総合人間学専攻　社会人間学講座（計算人文社会学専攻分野）
職名
准教授
学位

  • 博士（文学）（東北大学）

  • 修士（文学）（東北大学）

e-Rad 研究者番号
30966312

経歴 2

  • 2023年4月 ～ 継続中
    東北大学　大学院文学研究科　准教授

  • 2022年4月 ～ 2023年4月
    東京大学　社会科学研究所　特任研究員

学歴 3

  • 東北大学　大学院文学研究科　計算人文社会学

    2019年4月 ～ 2022年3月

  • 東北大学　大学院文学研究科　行動科学

    2017年4月 ～ 2019年3月

  • 中国東北大学　新聞学

    2012年9月 ～ 2016年6月

研究分野 2

  • 人文・社会 / 社会学 /

  • 人文・社会 / 図書館情報学、人文社会情報学 /

受賞 1

  1. 東北大学総長賞

    2022年3月　東北大学

論文 9

  1. Breaking the Spiral of Silence? Investigating the Influence of Opinion Reversal Events on Opinion Expression on Social Media

    LYU ZEYU, Hiroki Takikawa, Takuya Shimokubo

    2025年8月2日

    DOI： 10.31235/osf.io/9hvgf_v1 　

  2. From ABM to GABM:How Generative Al is Reshaping Social Simulation 査読有り

    Wang Zhichao, Zeyu Lyu

    Journal of Intelligent Society　4　(2)　138-157　2025年4月

  3. Cross-cutting interaction, inter-party hostility, and partisan identity: Analysis of offensive speech in social media 査読有り

    ZEYU LYU

    New Media & Society　2025年2月

    DOI： 10.1177/14614448231180654 　

  4. Digitization of weather records of Seungjeongwon Ilgi: A historical weather dynamics dataset of the Korean Peninsula in 1623–1910 査読有り

    Zeyu Lyu, Kohei Ichikawa, Yongchao Cheng, Hisashi Hayakawa, Yukiko Kawamoto

    Geoscience Data Journal　2023年10月5日

    出版者・発行元： Wiley

    DOI： 10.1002/gdj3.227 　

    ISSN：2049-6060

    eISSN：2049-6060

    詳細を見る 詳細を閉じる

    Abstract Historical weather records from Europe indicate that the Earth experienced substantial climate variability, which caused, for instance, the Little Ice Age and the global crisis in the period between the 14th and 19th centuries. However, it is still unclear how global this climate variability was because of the scarce meteorological data availability in other regions including East Asia, especially around the 17th century. In this context, Seungjeongwon Ilgi, a daily record of the Royal Secretariat of the Joseon Dynasty of Korea, is a precious source of historical meteorological records for the Korean Peninsula, as it covers 288 years of weather observations made during 1623–1910. We used the digital database of Seungjeongwon Ilgi to construct a machine‐readable weather condition dataset. To this end, we extracted valid weather information from the original weather description text and compiled them into pre‐defined weather categories. Additionally, we attempted to improve the usability of dataset by converting the reported dates in the traditional calendar system to those in the Gregorian calendar. Finally, we outlined promising implications of this dataset for meteorological and climatological studies, while describing the limitations of the dataset. Overall, future studies focusing on the climate and weather of the past could use this meteorological database for investigating long‐term climate variability. Our datasets are publicly available at 10.5281/zenodo.8382243.

  5. Media framing and expression of anti-China sentiment in COVID-19-related news discourse: An analysis using deep learning methods 査読有り

    ZEYU LYU

    Heliyon　e10419　2022年8月

    DOI： 10.1016/J.HELIYON.2022.E10419 　

  6. Disparity and Dynamics of Social Distancing Behaviors in Japan: An Investigation of Mobile Phone Mobility Data 査読有り

    Zeyu Lyu, Hiroki Takikawa

    JMIR Medical Informatics　10　(3)　e31557-e31557　2022年3月

    出版者・発行元： JMIR Publications Inc.

    DOI： 10.2196/31557 　

    eISSN：2291-9694

    詳細を見る 詳細を閉じる

    Background The availability of large-scale and fine-grained aggregated mobility data has allowed researchers to observe the dynamics of social distancing behaviors at high spatial and temporal resolutions. Despite the increasing attention paid to this research agenda, limited studies have focused on the demographic factors related to mobility, and the dynamics of social distancing behaviors have not been fully investigated. Objective This study aims to assist in designing and implementing public health policies by exploring how social distancing behaviors varied among various demographic groups over time. Methods We combined several data sources, including mobile tracking mobility data and geographical statistics, to estimate the visiting population of entertainment venues across demographic groups, which can be considered the proxy of social distancing behaviors. Next, we used time series analysis methods to investigate how voluntary and policy-induced social distancing behaviors shifted over time across demographic groups. Results Our findings demonstrate distinct patterns of social distancing behaviors and their dynamics across age groups. On the one hand, although entertainment venues’ population comprises mainly individuals aged 20-40 years, a more significant proportion of the youth has adopted social distancing behaviors and complied with policy implementations compared to older age groups. From this perspective, the increasing contribution to infections by the youth should be more likely to be attributed to their number rather than their violation of social distancing behaviors. On the other hand, although risk perception and self-restriction recommendations can induce social distancing behaviors, their impact and effectiveness appear to be largely weakened during Japan’s second state of emergency. Conclusions This study provides a timely reference for policymakers about the current situation on how different demographic groups adopt social distancing behaviors over time. On the one hand, the age-dependent disparity requires more nuanced and targeted mitigation strategies to increase the intention of elderly individuals to adopt mobility restriction behaviors. On the other hand, considering that the effectiveness of policy implementations requesting social distancing behaviors appears to decline over time, in extreme cases, the government should consider imposing stricter social distancing interventions, as they are necessary to promote social distancing behaviors and mitigate the transmission of COVID-19.

  7. Trust, Risk Perception, and COVID-19 Infections: Evidence from Multilevel Analyses of Combined Original Dataset in China 査読有り

    Maoxin Ye, Zeyu Lyu

    Social Science & Medicine　265　113517-113517　2020年11月

    出版者・発行元： Elsevier {BV}

    DOI： 10.1016/j.socscimed.2020.113517 　

    ISSN：0277-9536

  8. Ideological and Behavioral Perspectives on Political Polarization: Evidence from Japan 査読有り

    ZEYU LYU

    理論と方法　35　(2)　170-183　2020年

  9. Towards an Understanding of Online Extremism in Japan 査読有り

    ZEYU LYU

    IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE WORKSHOPS (WI COMPANION)　7-13　2019年10月

    DOI： 10.1145/3358695.3360922 　

︎全件表示 ︎最初の5件までを表示

MISC 4

  1. Xから浮かび上がる 東京2020パラリンピック競技大会と障害者への意識～計算社会科学におけるソーシャルメディア分析技術の応用～

    下窪拓也, 呂 沢宇, 永吉希久子, 瀧川裕貴, 渡辺誓司, 中村美子

    放送研究と調査　2024年9月

  2. 自然言語処理の社会科学における応用

    呂 沢宇

    社会と調査 = Advances in social research / 社会調査士資格認定機構 編　(32)　116-123　2024年3月

    出版者・発行元： 東京 : 社会調査士資格認定機構 ; 2008-

    ISSN： 2188-8450

  3. ソーシャルメディア言論分析の方法②〜安倍首相に対するTwitter上の投稿分析を事例としたトピックモデルの適用〜

    瀧川裕貴, 永吉希久子, 呂沢宇, 下窪拓也, 渡辺誓司, 中村美子

    放送研究と調査　2023年4月

  4. ソーシャルメディア言論分析の方法①〜2020年1月から辞任までの安倍首相に対するTwitter上の投稿分析を事例として〜

    瀧川裕貴, 永吉希久子, 呂沢宇, 下窪拓也, 渡辺誓司, 中村美子

    放送研究と調査　2023年3月

書籍等出版物 2

  1. Sociological Foundations of Computational Social Science

    Zeyu Lyu, Kikuko Nagayoshi, Hiroki Takikawa

    Springer　2024年4月

    ISBN: 9789819994311

  2. パンデミックと社会科学ーポストコロナから見えるもの

    瀧川裕貴, 呂沢宇, 稲垣佑典, 中井豊, 常松淳, 阪本拓人, 大林真也

    勁草書房　2024年2月

    ISBN: 9784326303373

講演・口頭発表等 23

  1. The Impact of the COVID-19 Pandemic on Activity Space Segregation in Tokyo

    Hiroki Takikawa, Zeyu Lyu, Chenchen Sun, Yuya Shibuya, Yuan Liao, Yoshihide Sekimoto

    The RC55 Intermediate Conference on Social Indicator　2024年6月

  2. Happiness is not Mutual: Exploring Differences in the Perception of Well-being with Words-association Network

    Zeyu Lyu, Zhemeng Xie, Aguru Ishibashi, Sachiko Yasuda, Takaharu Saito, Hiroki Takikawa

    The RC55 Intermediate Conference on Social Indicator　2024年6月

  3. Leveraging Large Language Models to Understand the Opinion of Polarization 招待有り

    呂沢宇

    国際ワークショップ「計算社会科学の社会学的基盤」　2024年2月18日

  4. 大規模言語モデルの心理学における応用 招待有り

    呂 沢宇

    日本理論心理学会第69回大会　2023年11月25日

  5. Semantic representation of well-being and ill-being

    呂沢宇, 石橋挙, 齋藤崇治, 謝拓文, 保田幸子, 瀧川裕貴

    第96回日本社会学会大会　2023年10月9日

  6. Exploring multi-dimensional concept of well-being thorough geometry of culture approach

    Hiroki Takikawa, Zeyu Lyu, Zhemeng Xie, Takaharu Saito, Aguru Ishibashi

    International Conference on Computational Social Science　2023年7月20日

  7. How Demographic Characteristics Relate to Disparities and Dynamics of Mobility Patterns during COVID-19: Analysis of Individual-Level Mobility Traces Data in Tokyo

    Zeyu Lyu, Hiroki Takikawa, James N. Ito

    The 15th Annual Conference of the International Network of Analytical Sociologists　2023年6月9日

  8. Cross-Cutting Interaction, Inter-Party Hostility, and Partisan Identity: Analysis of Affective Polarization in Social Media

    Zeyu Lyu

    Annual Meeting of the American Sociological Association　2022年8月

  9. 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.

    Hiroki Takikawa, Zeyu Lyu

    Annual Meeting of the American Sociological Association　2022年8月

  10. Cross-Cutting Interaction, Out-Group Hostility, and Partisan Identity: Investigation of Affective Polarization on Social Media

    Zeyu Lyu

    2022 International Conference on Computational Social Science　2022年7月

  11. Cross-Cutting Interaction, Out-Group Hostility, and Partisan Identity: Investigation of Affective Polarization on Social Media

    Zeyu Lyu

    CSSJ2022　2022年3月1日

  12. Anti-China sentiments during the COVID-19 pandemic: An analysis using deep learning methods

    Zeyu Lyu, Hiroki Takikawa

    International Conference on Computational Social Science (IC2S2 2021)　2021年7月

  13. The relationship between gender, age, and occupation and adherence with restriction measures during the COVID-19 pandemic: An investigation of mobile phone mobility data

    Zeyu Lyu, Hiroki Takikawa

    International Conference on Computational Social Science (IC2S2 2021)　2021年7月

  14. Effects of family and social interaction on mental well-being in populations under social distancing restrictions during the COVID-19 pandemic

    Hiroki Takikawa, Lyu Zeyu, Yuske Inagaki, Yutaka Nakai, Jun Tsunematsu, Takuto Sakamoto, Shinya Obayashi

    International Network of Analytical Sociologists 13th Annual Conference　2021年5月

  15. Sensing community and individual psychological states during COVID-19 in China: Estimation method based on social media data and deep learning

    Zeyu Lyu, Hiroki Takikawa

    International Network of Analytical Sociologists 13th Annual Conference　2021年5月

  16. ディープラーニングによるセンチメント分析の社会科学における応用

    瀧川裕貴, 呂沢宇

    日本選挙学会　2021年5月

  17. The Relationship between Gender, Age, and Occupation and Adherence with Restriction Measures during the COVID-19 Pandemic: An Investigation of Mobile Phone Mobility Data

    Zeyu Lyu, Hiroki Takikawa

    CSSJ2021　2021年3月

  18. 新型コロナウイルス感染症流行下における感情 ダイナミクスの経験サンプリング法に基づく検討

    瀧川 裕貴, 呂 沢宇, 中井 豊, 常松 淳, 阪本 拓人, 大林 真也

    日本社会学会　2020年10月

  19. Inequality in the Academic Attention of Social Science Research

    Zeyu Lyu

    International Computational Humanities and Social Sciences　2020年2月

  20. Towards an Understanding of Online Extremism in Japan

    Zeyu Lyu

    IEEE/WIC/ACM International Conference on Web Intelligence　2019年10月

  21. Japanese Language Schools as Alternative Routes to the Labor Market in Japan

    Yoshimichi Sato, Zeyu Lyu

    The Annual Meeting of the American Sociological Association　2019年8月

  22. Computation Approach for Investigating Political Polarization Evidence from Ideological Stance and Interaction Behaviors in Japanese Twitter

    Zeyu Lyu

    The 5th East Asian Conference for Young Sociologists　2019年2月

  23. Political Polarization on Japanese Twitter: Estimating Ideology with Bayesian Ideal Points Estimation

    Zeyu Lyu

    Graduate Conference in Japanese Studies 2018　2018年12月

︎全件表示 ︎最初の5件までを表示

共同研究・競争的資金等の研究課題 6

  1. 移動ビッグデータを用いた社会的空間隔離の解明

    呂 沢宇

    2025年4月1日 ～ 2028年3月31日

  2. ビッグデータを用いた社会秩序問題の解明－計算社会秩序論の創成－

    佐藤 嘉倫, 呂 沢宇, 小田中 悠, 瀧川 裕貴

    2024年6月28日 ～ 2026年3月31日

  3. 動的多細胞コミュニティの数理社会解析

    加藤 晋, 呂 沢宇, 図斎 大, 澤 亮治, 五十嵐 彰

    2022年5月20日 ～ 2025年3月31日

  4. Investigation of Opinion Polarization in Online Communication: Towards an Integration of Explanation and Prediction

    呂 沢宇

    提供機関：Japan Society for the Promotion of Science

    制度名：Grants-in-Aid for Scientific Research Grant-in-Aid for Research Activity Start-up

    研究種目：Grant-in-Aid for Research Activity Start-up

    研究機関：The University of Tokyo

    2022年8月 ～ 2024年3月

  5. ソーシャルメディアにおける政治分極化の形成メカニズムの解明

    呂 沢宇

    提供機関：Japan Society for the Promotion of Science

    制度名：Grants-in-Aid for Scientific Research Grant-in-Aid for JSPS Fellows

    研究種目：Grant-in-Aid for JSPS Fellows

    研究機関：Tohoku University

    2020年4月 ～ 2022年3月

    詳細を見る 詳細を閉じる

    My research investigates affective polarization by focusing on the expressed hostility in cross-cutting interactions. Affective polarization is rooted in social group identity theory, which suggests that group membership can trigger more positive emotional reactions toward the ingroup than the outgroup and a greater willingness to cooperate with members of the ingroup. Taking such ingroup favoritism and outgroup animosity into consideration can offer a more complete picture of political polarization. I employ NLP techniques to detect the expressed sentiment and opinion in the tweet content of interactions, then measure affective polarization by examining how expressed sentiments and opinions vary between in-group interaction and cross-cutting interaction.

  6. Sentiment analysis on social media: Combining natural language processing and network analysis to examine how social media shape opinion dynamics

︎全件表示 ︎最初の5件までを表示

その他 6

  1. 研究協力者: 計算社会科学の社会学的基盤の構築

  2. 東北大学 人工知能エレクトロニクス卓越大学院プログラム

  3. 東北大学 学際高等研究教育院

  4. 研究協力者：ビッグデータ分析と実験の統合によるオンライン社会における場のダイナミクスの解析

  5. リサーチアシスタント：天文と古典学

  6. リサーチアシスタント: パンデミックに備える社会的データ収集枠組みの構築と数理モ デルによるネットワーク介入の有効性評価

︎全件表示 ︎最初の5件までを表示