RumourEval 2019: Determining Rumour Veracity and Support for Rumours
It addresses the problem of automated rumour checking for combating fake news, but is incremental as it builds on a previous shared task.
The paper proposes RumourEval 2019, a shared task to determine rumour veracity and classify stance in tweets and Reddit posts, expanding the dataset to include more languages and platforms.
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.