Repository for the ACL 2020 paper:
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter

Link to the paper: Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter

Please use the following citation:

@inproceedings{conforti2020wtwt,
          title={Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter},
          author={Conforti, Costanza and Berndt, Jakob and Pilehvar, Mohammad Taher and Giannitsarou, Chryssi and Toxvaerd, Flavio and Collier, Nigel} 
          booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL2020)},
          year={2020}
        }

Dataset

Will-They-Won't-They (WT-WT) is a large dataset of English tweets targeted at stance detection for the rumor verification task. The dataset is constructed based on tweets that discuss five recent merger and acquisition (M&A) operations of US companies, mainly from the healthcare sector.

All the annotations are carried out by domain experts; therefore, the dataset constitutes a high-quality and reliable benchmark for future research in stance detection.

Considered M&A operations

Operation	Buyer	Target	Industry
CVS_AET	CVS Health	Aetna	Healthcare
CI_ESRX	Cigna	Express Scripts	Healthcare
ANTM_CI	Anthem	Cigna	Healthcare
AET_HUM	Aetna	Humana	Healthcare
DIS_FOXA	Disney	21st Century Fox	Entertainment

Contacts

• {cc918, jb2088, mp792, cg349, fmot2, nhc30} @cam.ac.uk
• Cambridge Language Technology Lab
• Cambridge Faculty of Economics