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 5160 of 98 papers

TitleStatusHype
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis0
Veritas Annotator: Discovering the Origin of a Rumour0
Back to the Future -- Sequential Alignment of Text RepresentationsCode0
Joint Rumour Stance and Veracity PredictionCode0
Danish Stance Classification and Rumour ResolutionCode0
SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours0
Early Rumour Detection0
SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions0
AndrejJan at SemEval-2019 Task 7: A Fusion Approach for Exploring the Key Factors pertaining to Rumour Analysis0
BLCU\_NLP at SemEval-2019 Task 7: An Inference Chain-based GPT Model for Rumour Evaluation0
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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