Abstract

http://ssrn.com/abstract=2459325
 


 



Researchers to Crowds to Algorithms: Building Large, Complex, and Transparent Databases in the Age of Data Science


Nicholas Adams


UC_Berkeley_Sociology

July 6, 2014


Abstract:     
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 Movements

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Date posted: June 27, 2014 ; Last revised: July 13, 2014

Suggested Citation

Adams, Nicholas, Researchers to Crowds to Algorithms: Building Large, Complex, and Transparent Databases in the Age of Data Science (July 6, 2014). Available at SSRN: http://ssrn.com/abstract=2459325 or http://dx.doi.org/10.2139/ssrn.2459325

Contact Information

Nicholas Adams (Contact Author)
UC_Berkeley_Sociology ( email )
310 Barrows Hall
Berkeley, CA 94720
United States
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