Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data

Empirical social science often relies on data that are not observed in the field, but are transformed into quantitative variables by expert researchers who analyze and interpret qualitative raw sources. While generally considered the most valid way to produce data, this expert-driven process is inhe...

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Bibliographic Details
Published in:	The American political science review Vol. 110; no. 2; pp. 278 - 295
Main Authors:	BENOIT, KENNETH, CONWAY, DREW, LAUDERDALE, BENJAMIN E., LAVER, MICHAEL, MIKHAYLOV, SLAVA
Format:	Journal Article
Language:	English
Published:	New York, USA Cambridge University Press 01.05.2016 Cambridge University Press for the American Political Science Association
Subjects:	Character Recognition Crowds Crowdsourcing Data Data analysis Data collection Decision theory Democracy Design Experts Languages Multilingualism Political science Politics Production Qualitative research Quantitative analysis Reliability Reproducibility Research Needs Scientific Methodology Scientific Research Social sciences Text analysis Validity Workers New York United States > US
ISSN:	0003-0554, 1537-5943
Online Access:	Get full text
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