Predicting the Political Alignment of Twitter Users

  title={Predicting the Political Alignment of Twitter Users},
  author={Michael D. Conover and Bruno Gonçalves and Jacob Ratkiewicz and Alessandro Flammini and Filippo Menczer},
  journal={2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing},
  • Michael D. Conover, B. Gonçalves, F. Menczer
  • Published 1 October 2011
  • Computer Science
  • 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing
The widespread adoption of social media for political communication creates unprecedented opportunities to monitor the opinions of large numbers of politically active individuals in real time. However, without a way to distinguish between users of opposing political alignments, conflicting signals at the individual level may, in the aggregate, obscure partisan differences in opinion that are important to political strategy. In this article we describe several methods for predicting the… 

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