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Coding Disaggregated Intrastate Conflict: Machine Processing the Behavior of Substate Actors Over Time and Space

Published online by Cambridge University Press:  04 January 2017

Stephen M. Shellman*
Affiliation:
The Institute for the Theory and Practice of International Relations, The College of William and Mary, P.O. Box 8795, Williamsburg, VA 23186

Abstract

This article describes a new machine-coded event data set specifically designed to study the spatially, temporally, and tactically disaggregated actions of multiple state and nonstate actors in a systematic fashion. The project develops an extensive set of dictionaries for multiple actors and employs a new coding scheme to organize information on such actors and their behavior. The author describes the machine content-analysis methods used to collect the data and the newly developed coding scheme.

Type
Special Issue: The Statistical Analysis of Political Text
Copyright
Copyright © The Author 2008. Published by Oxford University Press on behalf of the Society for Political Methodology 

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Footnotes

Author's note: I would like to thank Philip Schrodt for his help and guidance with this project over the last few years. He did everything from answering numerous e-mails to fixing small programming errors in a moment's notice. I could not have completed this project without his time, patience, and support. I would also like to thank Brandon M. Stewart for his valuable research assistance, ideas, and strong work ethic over the years as he worked on this project. Finally, I would like to thank the anonymous reviewers and guest editors for helpful comments on earlier drafts of this essay. Conflict of interest statement: None declared.

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