SemEval-2019 Task 7: RumourEval 2019: Determining Rumour Veracity and Support for Rumours
Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
It is therefore important that a shared task in this area continues to provide a focus for effort, which is likely to increase. Rumour verification is characterised by the need to consider evolving conversations and news updates to reach a verdict on a rumour's veracity. As in RumourEval 2017 we provided a dataset of dubious posts and ensuing conversations in social media, annotated both for stance and veracity. The social media rumours stem from a variety of breaking news stories and the dataset is expanded to include Reddit as well as new Twitter posts. There were two concrete tasks; rumour stance prediction and rumour verification, which we present in detail along with results achieved by participants. We received 22 system submissions (a 70\% increase from RumourEval 2017) many of which used state-of-the-art methodology to tackle the challenges involved.
|Title of host publication||Proceedings of the 13th International Workshop on Semantic Evaluation : NAACL HLT 2019|
|Publisher||Association for Computational Linguistics|
|Publication date||7 Jun 2019|
|Publication status||Published - 7 Jun 2019|