| Project/Area Number |
22K20182
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Multi-year Fund |
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| Review Section |
0108:Sociology and related fields
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| Research Institution | Tohoku University (2023)
The University of Tokyo (2022) |
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Principal Investigator |
LYU ZEYU 東北大学, 文学研究科, 准教授 (30966312)
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| Project Period (FY) |
2022-08-31 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2023: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 計算社会科学 / 意見分極化 / ソーシャルメディア / ビッグデータ / 自然言語処理 / 分極化 / ビッグデータ解析 / 機械学習 |
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| Outline of Research at the Start |
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.
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| Outline of Final Research Achievements |
(1) This project uses big data data and computational methods to investiagte the mechanism of opinion expression on social media. We find the individuals’ tendency to maintain their partisan identification can lead to hostility toward individuals of opposing partisans, serving as a potential mechanism that contributes to polarization.
(2) This project explores the possibilities of LLMs (Large Language Models) in research related to opinion polarization. We have validated and demonstrated that LLMs can mimic individuals with specific partisan leanings and cognitive biases. This implies that LLMs can be used in social simulations to enrich the fidelity and complexity of simulations, potentially providing deeper insights into the mechanisms of opinion polarization.
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| Academic Significance and Societal Importance of the Research Achievements |
ソーシャルメディアをはじめとするオンライン場における意見の分極化は、集団間の意見の隔たりを深め、社会的な分断を助長することが問題視されている。本研究が明らかにするオンライン場における意見形成の知見は、意見の分極化を軽減するための適切な政策確立において重要な基礎となる。また、本研究で提案した大規模言語モデルによる社会シミュレーションの手法は、新たな研究の方向性を開拓した点で学術的意義が高いと考えられる。
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