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

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

SemEval. 2017.

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 thatcan identify the veracity of a story, and the nature of the discourse 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.

@inproceedings{derczynski2017semeval,
  title={SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours},
  author={Derczynski, L and Bontcheva, K and Liakata, M and Procter, R and Hoi, GWS and Zubiaga, A},
  booktitle={Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  pages={69--76},
  year={2017},
  organization={Association for Computational Linguistics}
}