Researchers to Crowds to Algorithms: Building Large, Complex, and Transparent Databases in the Age of Data Science
July 6, 2014
This article reviews available approaches to parsing and analyzing text data, describes a new approach combining the strengths of many of them, imagines projects on theoretical/empirical frontiers enabled by the approach, describes the first complex and large database generated with the approach (comparing it to others), and suggests promising implications for social science when researchers are able to generate larger, more complex, totally transparent databases faster.
Number of Pages in PDF File: 82
Keywords: Text Analysis, Theory, Methods, Events, Interaction, Time-Series, Transparency, Databases, Crow-Work, Algorithms, Research Teams, Sociology, Social Movementsworking papers series
Date posted: June 27, 2014 ; Last revised: July 13, 2014
© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo7 in 0.375 seconds