Sammenlign metoder

	Event Data Analysis of Conflict	Kvalitativ Indholdsanalyse
Fagområde	International Relations	Kvalitativ forskning
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1994	1980
Ophavsperson	Philip Schrodt (KEDS/TABARI); ICEWS team (Boschee et al.)	Klaus Krippendorff; refined by Margrit Schreier
Type	Automated extraction of structured political events from news text	Method
Oprindelig kilde	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.	Krippendorff, K. (1980). Content analysis: An introduction to its methodology. Sage Publications.
Aliasser	Political Event Data, Machine-Coded Conflict Event Data, Conflict Event Extraction, Who-Did-What-to-Whom Event Coding	Content Analysis, Categorical Content Analysis
Relaterede	4	2
Resumé	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.	Qualitative Content Analysis (QCA) is a systematic, inductive method for analyzing textual or visual data by identifying and categorizing meaning units into content categories. Developed and formalized by Klaus Krippendorff (1980), QCA can be purely qualitative (inductive, exploratory) or combined with quantitative counting; it analyzes manifest content (explicit, surface meanings) and latent content (underlying, interpretive meanings).