RumourEval 2019 data Leon Derczynski Genevieve Gorrell Arkaitz Zubiaga Ahmet Aker Kalina Bontcheva Maria Liakata Elena Kochkina 10.6084/m9.figshare.8845580.v1 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. 2019-07-09 12:48:13 rumoureval rumoreval Stance Detection semeval Fake news veracity judgements Natural Language Processing