Computational Social Science
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Published By Cambridge University Press

9781316257340
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

scholarly journals Centralized Analysis of Local Data, with Dollars and Lives on the Line: Lessons from the Home Radon Experience

2016 ◽  
pp. 295-306
Author(s):  
Phillip N. Price ◽  
Andrew Gelman
Keyword(s):  
Local Data

Introduction

2016 ◽  
pp. 1-24 ◽  
Author(s):  
R. Michael Alvarez

Using Machine Learning Algorithms to Detect Election Fraud

2016 ◽  
pp. 266-294 ◽  
Author(s):  
Ines Levin ◽  
Julia Pomares ◽  
R. Michael Alvarez
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Election Fraud

Using Social Marketing and Data Science to Make Government Smarter

2016 ◽  
pp. 246-265 ◽  
Author(s):  
Brian Griepentrog ◽  
Sean Marsh ◽  
Sidney Carl Turner ◽  
Sarah Evans
Keyword(s):  
Social Marketing ◽  
Data Science

Generating Political Event Data in Near Real Time: Opportunities and Challenges

2016 ◽  
pp. 98-120 ◽  
Author(s):  
John Beieler ◽  
Patrick T. Brandt ◽  
Andrew Halterman ◽  
Philip A. Schrodt ◽  
Erin M. Simpson
Keyword(s):  
Real Time ◽  
Event Data ◽  
Political Event

Computational Social Science: Toward a Collaborative Future

2016 ◽  
pp. 307-316 ◽  
Author(s):  
Hanna Wallach
Keyword(s):  
Social Science ◽  
Computational Social Science

Big Data, Social Media, and Protest: Foundations for a Research Agenda

2016 ◽  
pp. 199-224 ◽  
Author(s):  
Joshua A. Tucker ◽  
Jonathan Nagler ◽  
Megan Macduffee Metzger ◽  
Pablo Barberá ◽  
Duncan Penfold-Brown ◽  
...  
Keyword(s):  
Social Media ◽  
Big Data ◽  
Research Agenda
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