360{\deg} Stance Detection

Ruder, Sebastian, Glover, John, Mehrabani, Afshin, Ghaffari, Parsa

arXiv.org Machine Learning 

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{\deg} 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.

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