%0 Conference Proceedings %T 360° Stance Detection %A Ruder, Sebastian %A Glover, John %A Mehrabani, Afshin %A Ghaffari, Parsa %Y Liu, Yang %Y Paek, Tim %Y Patwardhan, Manasi %S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations %D 2018 %8 June %I Association for Computational Linguistics %C New Orleans, Louisiana %F ruder-etal-2018-360deg %X 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. %R 10.18653/v1/N18-5007 %U https://aclanthology.org/N18-5007 %U https://doi.org/10.18653/v1/N18-5007 %P 31-35