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Drawing Inferences and Testing Theories with Big Data

Published online by Cambridge University Press:  31 December 2014

Jonathan Nagler  and
Joshua A. Tucker
Jonathan Nagler
Affiliation:
New York University
Joshua A. Tucker
Affiliation:
New York University
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Abstract

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Type
Symposium: Big Data, Causal Inference, and Formal Theory: Contradictory Trends in Political Science?
Information
PS: Political Science & Politics , Volume 48 , Issue 1 , January 2015 , pp. 84 - 88
Copyright
Copyright © American Political Science Association 2015 

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References

REFERENCES

Barberá, Pablo. 2014. “Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data.”Political Analysis. DOI 10.1093/pan/mpu011.Google Scholar
Barberá, Pablo, Bonneau, Richard, Jost, John T., Nagler, Jonathan, and Tucker, Joshua. 2013. “Is There Anybody out There? The Effects of Legislators’ Communication with their Constituents.” Paper presented at the 2013 Text as Data Workshop. London: London School of Economics and Political Science.Google Scholar
Beauchamp, Nick. 2013. “Predicting and Interpolating State-Level Polling Using Twitter Textual Data.” Paper presented at the 2013 APSA Annual Meeting, Chicago, IL.Google Scholar
Biemer, Paul, and Lyber, Lars (eds.). 2010. “Special Issue on Total Survey Error.” Public Opinion Quarterly 74 (5): 817–79.Google Scholar
Bonica, Adam. 2013. “Ideology and Interests in the Political Marketplace.” American Journal of Political Science 57 (2): 294–311.CrossRefGoogle Scholar
Leighley, Jan E., and Nagler, Jonathan. 2014. Who Votes Now? Demographics, Issues, Inequality, and Turnout in the United States. Princeton, NJ: Princeton University Press.Google Scholar
Metzger, Megan, Penfold-Brown, Duncan, Barberá, Pablo, Bonneau, Richard, Jost, John, Nagler, Jonathan, and Tucker, Joshua. 2014. “Dynamics of Influence in Online Protest Networks: Evidence from the 2013 Turkish Protests.” Paper presented at the 2014 APSA Annual Meeting, Washington, DC.Google Scholar
Tucker, Joshua A., Metzger, Megan, Penfold-Brown, Duncan, Bonneau, Richard, Jost, John, and Nagler, Jonathan. 2014. “Social Media and the #Euromaidan Protests.” Paper presented at the Workshop on Mass Protest. London: London School of Economics.Google Scholar
Vaccari, Christian, Valeriani, Augusto, Barberá, Pablo, Bonneau, Richard, Jost, John T., Nagler, Jonathan, and Tucker, Joshua. 2013. “Social Media and Political Communication: A Survey of Twitter Users during the 2013 Italian General Election.” Rivista Italiana di Scienza Politica 43 (3): 381–410.Google Scholar