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

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