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SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

Abstract · Apr 20, 2017 01:21 ·

rumour story stance rumours veracity sources subtask claims zubiaga cs-cl cs-ai

Arxiv Abstract

  • Leon Derczynski
  • Kalina Bontcheva
  • Maria Liakata
  • Rob Procter
  • Geraldine Wong Sak Hoi
  • Arkaitz Zubiaga

Media is full of false claims. Even Oxford Dictionaries named “post-truth” as the word of 2016. This makes it more important than ever to build systems that can identify the veracity of a story, and the kind of discourse there is around it. RumourEval is a SemEval shared task that aims to identify and handle rumours and reactions to them, in text. We present an annotation scheme, a large dataset covering multiple topics - each having their own families of claims and replies - and use these to pose two concrete challenges as well as the results achieved by participants on these challenges.

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