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.
Baca metode selengkapnya
Masuk dengan akun gratis untuk membaca bagian ini.
Peta metode
Lingkup metode terkait — pilih sebuah simpul untuk menjelajah.
Sumber
- 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 ↗
Cara menyitasi halaman ini
ScholarGate. (2026, June 22). Automated Event Data Coding for the Study of Political Conflict. ScholarGate. https://scholargate.app/id/international-relations/event-data-conflict
Metode yang mana?
Letakkan metode ini berdampingan dengan kerabat terdekatnya dan baca secara bersisian — pustaka menata bukunya di atas meja; pilihan ada di tangan Anda.
- Alliance Network AnalysisInternational Relations↔ bandingkan
- Content Analysis of TreatiesInternational Relations↔ bandingkan
- Event Data AnalysisPolitical Science↔ bandingkan
- Militarized Interstate Dispute AnalysisInternational Relations↔ bandingkan
Dirujuk oleh
Metode serupa
Menemukan masalah di halaman ini? Laporkan atau usulkan perbaikan →