RumourEval 2019: Determining Rumour Veracity and Support for Rumours
arXiv:1809.06683
Abstract
This is the proposal for RumourEval-2019, which will run in early 2019 as part of that year's SemEval event. Since the first RumourEval shared task in 2017, interest in automated claim validation has greatly increased, as the dangers of "fake news" have become a mainstream concern. Yet automated support for rumour checking remains in its infancy. For this reason, it is important that a shared task in this area continues to provide a focus for effort, which is likely to increase. We therefore propose a continuation in which the veracity of further rumours is determined, and as previously, supportive of this goal, tweets discussing them are classified according to the stance they take regarding the rumour. Scope is extended compared with the first RumourEval, in that the dataset is substantially expanded to include Reddit as well as Twitter data, and additional languages are also included.
References in corpus (5)
- Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads
- Hoaxy: A Platform for Tracking Online Misinformation
- 3HAN: A Deep Neural Network for Fake News Detection
- SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
- Stance Prediction for Russian: Data and Analysis
Cited by in corpus (5)
- Explainable Rumor Detection using Inter and Intra-feature Attention Networks
- Danish Stance Classification and Rumour Resolution
- Back to the Future -- Sequential Alignment of Text Representations
- VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text
- Automated Fact-Checking: A Survey