| Project/Area Number |
23K17010
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 62020:Web informatics and service informatics-related
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| Research Institution | Yamaguchi University |
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Principal Investigator |
楊 鯤昊 山口大学, 大学院創成科学研究科, 講師(テニュアトラック) (90966631)
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| Project Period (FY) |
2023-04-01 – 2026-03-31
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| Project Status |
Granted (Fiscal Year 2024)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2025: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2024: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2023: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 計算社会科学 / ソーシャルネットワーク分析 / ビッグデータ解析 / 機械学習 / 協力活動 / Wikipedia / ネットワークサイエンス |
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| Outline of Research at the Start |
Conflicts ars prevalent in teamworks. It was found that conflicts in teamwork are not always counter-productive. Instead, some conflicts can even benefit the performance of teamwork. The current research aims to investigate what factors can lead to the occurrence of productive conflicts in teamwork.
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| Outline of Annual Research Achievements |
This year, my research advanced the understanding of how social networks and individual characteristics jointly shape collective behavior in digital environments. By analyzing large-scale datasets from Wikipedia, Twitter, and online news platforms, I explored how team diversity, political segregation, and emotional dynamics influence the effectiveness and cohesion of collective actions. One key finding showed that politically polarized editor teams on Wikipedia can improve knowledge quality and resist vandalism, especially in the context of climate change. I also developed an unsupervised method to reveal that political user segregation in online communities extends beyond simple left-right divides.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The project has made solid progress in achieving its core objectives of understanding how social networks and individual traits interact to shape collective behavior in teamwork and online communities. This year, multiple studies were successfully conducted using diverse computational methods Each study addressed different aspects of collective dynamics, ranging from political polarization and user segregation to public perception in disaster contexts, demonstrating a broad yet coherent engagement with the research aim. The findings not only advanced theoretical understanding but also provided practical implications for improving collaboration quality, enhancing disaster communication, and identifying manipulative behavior in digital environments.
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| Strategy for Future Research Activity |
In the final year, I plan to extend the research by focusing on the dynamics of conflict and collaboration in the context of global crises. Specifically, the study will investigate how individuals and communities form and express divergent perceptions in online environments when confronted with large-scale challenges such as climate change, geopolitical conflicts, and global pandemics. By analyzing digital discourse across multiple platforms and crises, the research aims to uncover the mechanisms through which polarization, misinformation, and consensus emerge. The ultimate goal is to develop actionable insights into how digital platforms can better support constructive dialogue and collective understanding in times of global uncertainty, thereby enhancing informed decision-making.
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