Quantifying Controversy in Social Media

@article{Garimella2016QuantifyingCI,
  title={Quantifying Controversy in Social Media},
  author={Venkata Rama Kiran Garimella and Gianmarco De Francisci Morales and A. Gionis and Michael Mathioudakis},
  journal={Proceedings of the Ninth ACM International Conference on Web Search and Data Mining},
  year={2016}
}
Which topics spark the most heated debates in social media? Identifying these topics is a first step towards creating systems which pierce echo chambers. In this paper, we perform a systematic methodological study of controversy detection using social media network structure and content. Unlike previous work, rather than identifying controversy in a single hand-picked topic and use domain-specific knowledge, we focus on comparing topics in any domain. Our approach to quantifying controversy is… 
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A systematic methodological study of controversy detection by using the content and the network structure of social media and a new random-walk-based measure outperforms existing ones in capturing the intuitive notion of controversy and shows that content features are vastly less helpful in this task.
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