@InProceedings{ruder-EtAl:2018:N18-5,
  author    = {Ruder, Sebastian  and  Glover, John  and  Mehrabani, Afshin  and  Ghaffari, Parsa},
  title     = {360° Stance Detection},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {31--35},
  abstract  = {The proliferation of fake news and filter bubbles makes it increasingly difficult to form an unbiased, balanced opinion towards a topic. To ameliorate this, we propose 360° Stance Detection, a tool that aggregates news with multiple perspectives on a topic. It presents them on a spectrum ranging from support to opposition, enabling the user to base their opinion on multiple pieces of diverse evidence.},
  url       = {http://www.aclweb.org/anthology/N18-5007}
}