Automated Coding of Political Event Data

Political event data have long been used in the quantitative study of international politics, dating back to the early efforts of Edward Azar’s COPDAB [1] andCharles McClelland’s WEIS [18] as well as a variety of more specialized efforts such as Leng’s BCOW [16]. By the late 1980s, the NSF-funded Data Development in International Relations project [20] had identified event data as the second most common form of data—behind the various Correlates of War data sets— used in quantitative studies. The 1990s saw the development of two practical automated event data coding systems, the NSF-funded KEDS (http://eventdata. psu.edu; [9, 31, 33]) and the proprietary VRA-Reader (http://vranet.com; [15, 27]) and in the 2000s, the development of two new political event coding ontologies— CAMEO [34] and IDEA[4,27]—designed for implementation in automated coding systems. A summary of the current status of political event projects, as well as detailed discussions of some of these, can be found in [10, 32].

[1]  Ralph Weischedel,et al.  Automatic Extraction of Events from Open Source Text for Predictive Forecasting , 2013 .

[2]  Sean P. O'Brien,et al.  Crisis Early Warning and Decision Support: Contemporary Approaches and Thoughts on Future Research , 2010 .

[3]  Charles A. McClelland Let the User Beware , 1983 .

[4]  Philip A. Schrodt,et al.  Validity Assessment of a Machine-Coded Event Data Set for the Middle East, 1982-92 , 1994 .

[5]  Thomas Bernauer,et al.  New Event Data in Conflict Research , 2012 .

[6]  Philip A. Schrodt Precedents, Progress, and Prospects in Political Event Data , 2012 .

[7]  J. Singer,et al.  National Political Units in the Twentieth Century: A Standardized List , 1968, American Political Science Review.

[8]  Philip A. Schrodt,et al.  Conflict and Mediation Event Observations (CAMEO): An event data framework for a post-Cold War world , 2008 .

[9]  J. Jenkins,et al.  Mapping Mass Political Conflict and Civil Society , 1997 .

[10]  E. Azar The Conflict and Peace Data Bank (COPDAB) Project , 1980 .

[11]  Doug Bond,et al.  Using Hidden Markov Models to Predict Terror Before it Hits (Again) , 2013 .

[12]  D. Kahneman Thinking, Fast and Slow , 2011 .

[13]  Kenneth Benoit,et al.  Coder Reliability and Misclassification in the Human Coding of Party Manifestos , 2012, Political Analysis.

[14]  Llewellyn D. Howell A Comparative Study of the WEIS and COPDAB Data Sets , 1983 .

[15]  Andrea Ruggeri,et al.  Events Data as Bismarck's Sausages? Intercoder Reliability, Coders' Selection, and Data Quality , 2011 .

[16]  Edward E. Azar Dimensions of interaction , 1974 .

[17]  Joshua S. Goldstein A Conflict-Cooperation Scale for WEIS Events Data , 1992 .

[18]  J. Jenkins,et al.  Conflict-Carrying Capacity, Political Crisis, and Reconstruction , 2001 .

[19]  Philip A. Schrodt,et al.  MACHINE CODING OF EVENT DATA USING REGIONAL AND INTERNATIONAL SOURCES , 1994 .

[20]  Philip A. Schrodt THE STATISTICAL CHARACTERISTICS OF EVENT DATA , 1994 .

[21]  E. Chenoweth,et al.  Rethinking Counterterrorism: Evidence from Israel , 2010 .

[22]  Erica Chenoweth,et al.  Moving Beyond Deterrence , 2012 .

[23]  Gary King,et al.  An Automated Information Extraction Tool for International Conflict Data with Performance as Good as Human Coders: A Rare Events Evaluation Design , 2003, International Organization.

[24]  Philip A. Schrodt Twenty Years of the Kansas Event Data System Project , 2006 .

[25]  C. McClelland World event/interaction survey , 1978 .

[26]  Dina A. Zinnes,et al.  International Event-Data Developments: DDIR Phase II , 1993 .

[27]  Joe Bond,et al.  Integrated Data for Events Analysis (IDEA): An Event Typology for Automated Events Data Development , 2003 .

[28]  Sean P. O'Brien A Multi-Method Approach for Near Real Time Conflict and Crisis Early Warning , 2013 .

[29]  P. Tetlock Expert Political Judgment: How Good Is It? How Can We Know? , 2005 .