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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. Ru-mourEval 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.
Derczynski et al. (Sun,) studied this question.
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