@InProceedings{derczynski-EtAl:2017:SemEval,
  author    = {Derczynski, Leon  and  Bontcheva, Kalina  and  Liakata, Maria  and  Procter, Rob  and  Wong Sak Hoi, Geraldine  and  Zubiaga, Arkaitz},
  title     = {SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {69--76},
  abstract  = {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 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.},
  url       = {http://www.aclweb.org/anthology/S17-2006}
}