That is your evidence?: Classifying stance in online political debate

@article{Walker2012ThatIY,
  title={That is your evidence?: Classifying stance in online political debate},
  author={Marilyn A. Walker and Pranav Anand and Rob Abbott and Jean E. Fox Tree and Craig H. Martell and Joseph King},
  journal={Decision Support Systems},
  year={2012},
  volume={53},
  pages={719-729}
}
A growing body of work has highlighted the challenges of identifying the stance that a speaker holds towards a particular topic, a task that involves identifying a holistic subjective disposition. We examine stance classification on a corpus of 4873 posts from the debate website ConvinceMe.net, for 14 topics ranging from the playful to the ideological. We show that ideological debates feature a greater share of rebuttal posts, and that rebuttal posts are significantly harder to classify for… CONTINUE READING
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  • We present results for classifying stance on a per topic basis that range from 60% to 75%, as compared to unigram baselines that vary between 47% and 66%.

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