方法对比

	Event Data Analysis	Manifesto Coding
领域	Political Science	Political Science
方法族	Process / pipeline	Process / pipeline
起源年份	—	2001
提出者	Conflict-studies and computational-social-science traditions (McClelland, Schrodt, King)	Manifesto Research Group / Comparative Manifesto Project (CMP/MARPOR)
类型	Automated coding and analysis of who-did-what-to-whom event records	Quantitative content analysis of party manifestos
开创性文献	Schrodt, P. A. (2012). Precedents, Progress, and Prospects in Political Event Data. International Interactions, 38(4), 546–569.	Budge, I., Klingemann, H.-D., Volkens, A., Bara, J., & Tanenbaum, E. (2001). Mapping Policy Preferences: Estimates for Parties, Electors, and Governments 1945–1998. Oxford: Oxford University Press. ISBN: 9780199244003
别名	Event data coding, Political event data, Conflict event data, CAMEO event coding	CMP coding, MARPOR coding, Manifesto content analysis, Party manifesto coding
相关	3	4
摘要	Event data analysis converts streams of news reports into structured records of political interactions — who did what to whom, when — and aggregates them into time series of cooperation and conflict between actors. Each event is coded as a source actor, an action type drawn from an ontology such as CAMEO, a target actor, and a date. Modern systems extract these events automatically from millions of news stories, enabling near-real-time measurement of interstate and intrastate behavior for forecasting and analysis.	Manifesto coding is the quantitative content-analysis methodology of the Comparative Manifesto Project (CMP/MARPOR) for measuring parties' policy preferences from their election manifestos. Trained coders break each manifesto into quasi-sentences and assign every unit to one of a fixed set of policy categories. Counting how often each category appears yields salience measures, and combining pro- and anti- categories produces position scores such as the left–right RILE index, giving comparable estimates of party positions across more than fifty democracies since 1945.