Multilingual Rumour veracity classifier
User generated content such as tweets often make claims that are unsubstantiated and possibly untrue. This service attempts to classify whether a text is discussing a rumour that is likely to be true, likely to be false, or if the rumour is unverified or the classification is unclear. The classifier is based upon Twitter-XLM-RoBERTa finetuned using an upsampled version of the RumourEval shared task 2017 dataset.
| Default annotations | |
| :Veracity | Annotation spanning the whole text with features "rumour_label" (the raw label "true", "false" or "unverified" from the classifier), "status" (a more human-oriented version of the rumour_label) and "confidence" (the confidence score) |
1,200 free requests / day
Batch processing not available
Use this pipeline
You can process up to 1,200 documents per day free of charge using the REST API, at an average rate of 2 documents/sec. Higher quotas are available for research users by arrangement, contact us for details.
The API endpoint for this pipeline is:
https://cloud-api.gate.ac.uk/process/multilingual-rumour-veracity
