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.