interests
I study social systems using a mix of computational and traditional methods. Substantively, my interests tend towards political communication, political participation, public opinion, and campaigns and elections. Methodologically, I use tools from survey research, content analysis, machine learning (especially natural language processing), and game theory.
Dissertation
My dissertation taps one of the richest sources of political data in all history---the political blogosphere---in order to understand timeless aspects of human interaction: attention, opinion, disagreement, persuasion, and participation.
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One-page abstract |
Keywords:
political communication, political participation, public opinion, campaigns and elections, media and information technology, survey methodology, content analysis, game theory, network theory, incentive-centered design, machine learning, natural language processing, econometrics.
vita
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my CV Current as of May 2012 |
contact info
Mailing address:
Abe Gong
CO: University of Michigan Political Science
5700 Haven Hall
Ann Arbor, MI 48109
Phone:
c: (801) 830-7029
Email:
put "umich.edu" after "agong@"
publications
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An automated snowball census of the political web
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working papers
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SnowCrawl: Software for directed webcrawling
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Genres of journalism and blogging: A large-scale content analysis
With Aleksandra Leyzerovskaya and Sean Walser.
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Predicting individual survey responses from blog content
With Michael Bommarito
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Computational political science
Review article.
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Targeting, not position-taking: A formal model of targeted communication in electoral campaigns.
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conference submissions
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Networks and Language in the 2010 Election
Political Networks 2011, with Avishay Livne, Matthew Simmons, Eytan Adar, and Lada Adamic.
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An automated snowball census of the political web
Voted best paper at JITP 2011
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To what degree does the political blogosphere represent -- or distort -- the voice of the electorate?
MPSA 2011.
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Known Certainty, Measurement Error, and the Validity of Automated Text Classification in Regression Analysis
APSA 2010
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Targeting, not position-taking
A formal model of targeted communication in American elections
Poster presented at MPSA 2010
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Applying Voice Recognition to Vox Populi:
State Transition Models in the Study of Public Opinion and Political Communication
APSA 2009
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Chunky or smooth?
New methods for analyzing the dynamics of aggregate opinion during presidential campaigns.
MPSA 2009
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A model of In-group Pressure and Inter-group Conflict
With Joshua Gubler. MPSA 2009.
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Network analysis of toxic chemicals and symptoms:
Implications for designing first-responder systems
Proceedings of AMIA '07
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Popping the undergraduate news bubble:
Factors influencing current events knowledge among college students
Proceedings of the Central States Communication Association 2007 meeting in Minneapolis, Minnesota
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