@inproceedings{ruder-etal-2018-360deg,
    title = "360{\textdegree} Stance Detection",
    author = "Ruder, Sebastian  and
      Glover, John  and
      Mehrabani, Afshin  and
      Ghaffari, Parsa",
    editor = "Liu, Yang  and
      Paek, Tim  and
      Patwardhan, Manasi",
    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://preview.aclanthology.org/ingest-emnlp/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{\textdegree} 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."
}