Crowdsourcing the Measurement of Interstate Conflict.
Ontology highlight
ABSTRACT:
SUBMITTER: D'Orazio V
PROVIDER: S-EPMC4911154 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Publications
Crowdsourcing the Measurement of Interstate Conflict.
D'Orazio Vito V Kenwick Michael M Lane Matthew M Palmer Glenn G Reitter David D
PloS one 20160616 6
Much of the data used to measure conflict is extracted from news reports. This is typically accomplished using either expert coders to quantify the relevant information or machine coders to automatically extract data from documents. Although expert coding is costly, it produces quality data. Machine coding is fast and inexpensive, but the data are noisy. To diminish the severity of this tradeoff, we introduce a method for analyzing news documents that uses crowdsourcing, supplemented with comput ...[more]
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