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Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts

DSEID
DSEID-003-7529823
DOI
10.1093/pan/mps028
Journal
Political Analysis
Publisher
Cambridge University Press (CUP)
Published
2013
Status
lawful_html_available

Abstract

Politics and political conflict often occur in the written and spoken word. Scholars have long recognized this, but the massive costs of analyzing even moderately sized collections of texts have hindered their use in political science research. Here lies the promise of automated text analysis: it substantially reduces the costs of analyzing large collections of text. We provide a guide to this exciting new area of research and show how, in many instances, the methods have already obtained part of their promise. But there are pitfalls to using automated methods—they are no substitute for careful thought and close reading and require extensive and problem-specific validation. We survey a wide range of new methods, provide guidance on how to validate the output of the models, and clarify misconceptions and errors in the literature. To conclude, we argue that for automated text methods to become a standard tool for political scientists, methodologists must contribute new methods and new methods of validation.

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Metadata

Title
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
Delta ID
DSEID-003-7529823
Authors
Justin Grimmer, Brandon M. Stewart
Abstract source
crossref
Source URL
https://www.cambridge.org/core/product/identifier/S1047198700013401/type/journal_article
Access
open_or_unknown
Licence
unknown
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GROBID
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WhenEventFieldOldNew
2026-06-19 08:52:56.781887+00:00fulltext_html_storedfulltext_htmlce66105d84db2e6682eab38c4ce6cf8fd3fede4cb5af13d3958a13339a0eae87