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