• Computer Science
  • Published in ICWSM 2011

Classifying the Political Leaning of News Articles and Users from User Votes

@inproceedings{Zhou2011ClassifyingTP,
  title={Classifying the Political Leaning of News Articles and Users from User Votes},
  author={Daniel Xiaodan Zhou and Paul Resnick and Qiaozhu Mei},
  booktitle={ICWSM},
  year={2011}
}
Social news aggregator services generate readers’ subjective reactions to news opinion articles. Can we use those as a resource to classify articles as liberal or conservative, even without knowing the self-identified political leaning of most users? We applied three semi-supervised learning methods that propagate classifications of political news articles and users as conservative or liberal, based on the assumption that liberal users will vote for liberal articles more often, and similarly… CONTINUE READING

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