Event Data Analysis of Conflict
Event data analysis is the automated extraction of structured records of political interactions — who did what to whom, when, and where — from large volumes of news text, for the quantitative study of conflict and cooperation. Pioneered for machine coding by Philip Schrodt with the KEDS and TABARI systems and scaled in projects such as ICEWS and GDELT, it turns unstructured reporting into dated actor-action-target triples coded to an ontology like CAMEO, which can then be aggregated into time series of interstate or intrastate hostility.
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Mapa metod
Okolí příbuzných metod — vyberte uzel, který chcete prozkoumat.
Zdroje
- Schrodt, P. A., Davis, S. G., & Weddle, J. L. (1994). Political science: KEDS — A program for the machine coding of event data. Social Science Computer Review, 12(4), 561–588. See also Gerner, Schrodt et al. (1994), Machine coding of event data using regional and international sources, International Studies Quarterly, 38(1), 91–119. DOI: 10.2307/2600873 ↗
- Boschee, E., Lautenschlager, J., O'Brien, S., Shellman, S., Starz, J., & Ward, M. (2015). ICEWS Coded Event Data. Harvard Dataverse. DOI: 10.7910/DVN/28075 ↗
Jak citovat tuto stránku
ScholarGate. (2026, June 22). Automated Event Data Coding for the Study of Political Conflict. ScholarGate. https://scholargate.app/cs/international-relations/event-data-conflict
Která metoda?
Postavte tuto metodu vedle jejích nejbližších příbuzných a čtěte je vedle sebe — knihovna položí knihy na stůl; volba je na vás.
- Alliance Network AnalysisInternational Relations↔ porovnat
- Content Analysis of TreatiesInternational Relations↔ porovnat
- Event Data AnalysisPolitical Science↔ porovnat
- Militarized Interstate Dispute AnalysisInternational Relations↔ porovnat
Odkazuje sem
Podobné metody
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