SOTAVerified

Rumour Detection

Rumor detection is the task of identifying rumors, i.e. statements whose veracity is not quickly or ever confirmed, in utterances on social media platforms.

Papers

Showing 6170 of 98 papers

TitleStatusHype
BLCU\_NLP at SemEval-2019 Task 7: An Inference Chain-based GPT Model for Rumour Evaluation0
Rumour Detection via News Propagation Dynamics and User Representation Learning0
CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against RumorsCode0
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional TransformersCode0
A semi-supervised approach to message stance classification0
A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors0
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation StructureCode0
RumourEval 2019: Determining Rumour Veracity and Support for Rumours0
Can Rumour Stance Alone Predict Veracity?0
Rumor Detection on Twitter with Tree-structured Recursive Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ParsBERT+PCapsNet +SA+Title+ AuxiliaryF-Measure0.95Unverified
2BERT-SAWSF-Measure0.93Unverified
3Jahanbakhsh-Nagadeh et al.F-Measure0.83Unverified
4Common context features + Four SA classesF-Measure0.79Unverified
#ModelMetricClaimedVerifiedStatus
1CMA_R0..5sec1Unverified