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arXiv · 1704.05972

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
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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 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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Leon Derczynski, Kalina Bontcheva, Maria Liakata, Rob Procter, Geraldine Wong Sak Hoi, Arkaitz Zubiaga. 2017-04-20. SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours. https://arxiv.org/abs/1704.05972

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