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• W128570927 abstract "The importance of interactions in political behavior has been recognized since the beginnings ofthe efforts to systematically study international political behavior using “scientific” approaches.This research has primarily taken the form of the analysis of event data—nominal or ordinal codesrecording the interactions among international actors as reported in the open presswhich breakdown complex political activities into a sequence of basic building blocks (e.g., comments, visits,rewards, protests, demands, threats, and military engagements). Event data sets were a majorfocus of some of the earliest quantitative international relations research in the 1960s and 1970s—work that generated Edward Azar’s (1982) Conflict and Peace Data Bank (COPDAB) and CharlesMcClelland’s (1976) World Event Interaction Survey (WEIS). Over the past decade, interest in eventdata analysis has increased as the combination of machine-readable news reports and automatedcoding have dramatically reduced the costs of generating, customizing, and analyzing event data.Historically, event data have usually been coded by legions of bored undergraduates flippingthrough copies of The New York Times. Automated coding provides two advantages over thesetraditional methods:• Coding can be done more quickly by machine than by humans; in particular the coding of alarge data set by a single researcher in real-time is feasible;• Machine coding rules are applied with complete consistency and are not subject to inter-coderdisparities caused by fatigue, differing interpretations of the coding rules or biases concerningthe texts being coded;The disadvantages of automated coding are that it cannot deal with sentences having a complexstructure and it deals with sentences in isolation rather than in context.This article will discuss the development of the automated coding systems of the Kansas EventData System (KEDS) project. I first discuss the gradual experimentation that produced, over aperiod of ten years, the first automated coding system—the eponymous Keds computer program—that could produce data acceptable in refereed articles. This will be followed by discussions ofsubsequent work—Keds’s open-source successor Tabari and the CAMEO event coding scheme—as well as some comments on project management and funding, and finally some reflections on whythis approach is not more widely used in academic research. This is a personal history rather than1" @default.
• W128570927 created "2016-06-24" @default.
• W128570927 creator A5066424993 @default.
• W128570927 date "2006-01-01" @default.
• W128570927 modified "2023-09-27" @default.
• W128570927 title "Twenty Years of the Kansas Event Data System Project" @default.
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