GDELT US-China Bilateral Events DatabaseGDELT 中美双边事件数据库
1,772,126 events · 1979-01–2026-04 · Goldstein risk metrics1,772,126 起事件 · 1979-01–2026-04 · 戈尔茨坦风险指标
Xun Pang庞珣
Professor教授
School of International Studies, Peking University北京大学国际关系学院
Director, PKU Analytics Lab for Global Risk Politics北京大学风险政治分析实验室主任
Research focuses on causal inference, Bayesian statistics, longitudinal data modeling, and AI–social science interdisciplinary innovation. Associate Editor of Political Analysis.
研究聚焦于因果推断、贝叶斯统计、 纵向数据建模，以及人工智能–社会科学跨学科创新。Political Analysis 副主编。
Collaborators合作者
Other databases其他数据库
Overview概览
A comprehensive event-level dataset of 1,772,126 US-China bilateral interactions spanning 47years. Built on the GDELT Project's real-time news monitoring, each event is geo-located and scored on the Goldstein scale (-10 to +10) capturing conflict vs cooperation intensity. Covers state-to-state actions, diplomatic statements, trade disputes, military posture, and crisis episodes.
一个涵盖 1,772,126 起中美双边互动、 时间跨度达 47 年的事件级综合数据集。基于 GDELT 项目的实时新闻监测构建，每起事件 均经过地理定位，并按戈尔茨坦量表（-10 至 +10）评分，刻画冲突与合作的 强度。涵盖国家间行动、外交声明、贸易争端、军事态势 及危机事件。
At a Glance数据概览
Goldstein trend and event quad distribution across 47 years of US-China interactions
47 年中美互动中的戈尔茨坦趋势与事件四象限分布
Goldstein Score Over Time戈尔茨坦分值随时间变化
Monthly mean by direction (1979–2026). Positive = cooperation, negative = conflict.
按方向的月度均值（1979–2026）。正值 = 合作，负值 = 冲突。
Event Quad Distribution事件四象限分布
Share of verbal vs material cooperation/conflict events言语与实质合作/冲突事件的占比
Related Research相关研究
Selected studies using GDELT and quantitative approaches to US-China relations运用 GDELT 与定量方法研究中美关系的精选文献
GDELT: Global Data on Events, Location, and Tone, 1979-2012
Leetaru, K. & Schrodt, P.A.
ISA Annual Convention, 2013
Measuring Conflict and Cooperation: The Goldstein Scale
Goldstein, J.S.
Journal of Conflict Resolution, 1992
Quantifying the Rise of the Sino-American Rivalry
Weiss, J.C. & Wallace, J.L.
International Organization, 2021
Real-time Risk Forecasting with Event Data
Schrodt, P.A. & Yonamine, J.
Journal of Cold War Studies, 2013
The Rivalry Between China and the United States
Christensen, T.J.
W.W. Norton & Company, 2021
Text as Data: A New Framework for Machine Learning in Political Science
Grimmer, J. & Stewart, B.M.
Political Analysis, 2013