@inproceedings{ruder-etal-2018-360deg,
    title = "360{\mbox{$^\circ$}} Stance Detection",
    author = "Ruder, Sebastian  and
      Glover, John  and
      Mehrabani, Afshin  and
      Ghaffari, Parsa",
    booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Demonstrations",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N18-5007",
    doi = "10.18653/v1/N18-5007",
    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{\mbox{$^\circ$}} 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.",
}