English

360{\deg} Stance Detection

Computation and Language 2018-04-04 v1 Information Retrieval Social and Information Networks Machine Learning

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{\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.

Keywords

Cite

@article{arxiv.1804.00982,
  title  = {360{\deg} Stance Detection},
  author = {Sebastian Ruder and John Glover and Afshin Mehrabani and Parsa Ghaffari},
  journal= {arXiv preprint arXiv:1804.00982},
  year   = {2018}
}

Comments

Proceedings of NAACL-HLT 2018: System Demonstrations

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