Preface ....................................................... vii
Gary King
Introduction .................................................... 1
R. Michael Alvarez
PART 1: COMPUTATIONAL SOCIAL SCIENCE TOOLS
1 The Application of Big Data in Surveys to the Study of
Elections, Public Opinion, and Representation ............... 27
Christopher Warshaw
2 Navigating the Local Modes of Big Data: The Case of Topic
Models ...................................................... 51
Margaret E. Roberts, Brandon M. Stewart, and Dustin
Tingley
3 Generating Political Event Data in Near Real Time:
Opportunities and Challenges ................................ 98
John Beieler, Patrick T. Brandt, Andrew Halterman, Philip A.
Schrodt, and Erin M. Simpson
4 Network Structure and Social Outcomes: Network Analysis
for Social Science ......................................... 121
Betsy Sinclair
5 Ideological Salience in Multiple Dimensions ................ 140
Peter Foley
6 Random Forests and Fuzzy Forests in Biomedical Research .... 168
Daniel Conn and Christina M. Ramirez
PART 2: COMPUTATIONAL SOCIAL SCIENCE APPLICATIONS
7 Big Data, Social Media, and Protest: Foundations for
a Research Agenda .......................................... 199
Joshua A. Tucker, Jonathan Nagler, Megan MacDuffee
Metzger, Pablo Barberá, Duncan Penfold-Brown, and
Richard Bonneau
8 Measuring Representational Style in the House: The Tea
Party, Obama, and Legislators' Changing Expressed
Priorities ................................................. 225
Justin Grimmer
9 Using Social Marketing and Data Science to Make Government
Smarter .................................................... 246
Brian Griepentrog, Sean Marsh, Sidney Carl Turner, and
Sarah Evans
10 Using Machine Learning Algorithms to Detect Election
Fraud ...................................................... 266
Ines Levin, Julia Pomares, and R. Michael Alvarez
11 Centralized Analysis of Local Data, with Dollars and
Lives on the Line: Lessons from the Home Radon Experience .. 295
Phillip N. Price and Andrew Gelman
Conclusion: Computational Social Science: Toward
a Collaborative Future ..................................... 307
Hanna Wallach
Index ......................................................... 317
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