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Understanding State Preferences With Text As Data: Introducing the UN General Debate Corpus

Alexander Baturo · Niheer Dasandi · Slava Mikhaylov

141 citations0/0 files storedOpen Access at Essex (University of Essex)

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Computational and Text Analysis Methods International Relations and Foreign Policy Political Science Research and Education

Abstract

Every year at the United Nations, member states deliver statements during the General Debate discussing major issues in world politics. These speeches provide invaluable information on governments’ perspectives and preferences on a wide range of issues, but have largely been overlooked in the study of international politics. This paper introduces a new dataset consisting of over 7,300 country statements from 1970-2014. We demonstrate how the UN General Debate Corpus (UNGDC) can be used to derive country positions on different policy dimensions using text analytic methods. The paper provides applications of these estimates, demonstrating the contribution the UNGDC can make to the study of international politics.

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References

2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts 2003Extracting Policy Positions from Political Texts Using Words as Data 2008A Scaling Model for Estimating Time‐Series Party Positions from Texts 2008Understanding Wordscores

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