10.6084/m9.figshare.8845580.v1 Leon Derczynski Leon Derczynski Genevieve Gorrell Genevieve Gorrell Arkaitz Zubiaga Arkaitz Zubiaga Ahmet Aker Ahmet Aker Kalina Bontcheva Kalina Bontcheva Maria Liakata Maria Liakata Elena Kochkina Elena Kochkina RumourEval 2019 data figshare 2019 rumoureval rumoreval Stance Detection semeval Fake news veracity judgements Natural Language Processing 2019-07-09 12:48:13 Dataset https://figshare.com/articles/dataset/RumourEval_2019_data/8845580 Manual stance and veracity judgments over a large set of English social media conversations. Judgments are expertsourced and crowdsourced with extensive quality control as detailed in the referenced paper. Conversations are around a central claim; claims are grouped into news themes, each theme centering on a current event. Social media platforms include Twitter and Reddit. This is the dataset for the SemEval-2019 task, RumourEval.