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 1120 of 98 papers

TitleStatusHype
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related MicroblogsCode0
Rumor Detection on Twitter with Tree-structured Recursive Neural NetworksCode0
Back to the Future -- Sequential Alignment of Text RepresentationsCode0
Danish Stance Classification and Rumour ResolutionCode0
Verifying the Robustness of Automatic Credibility AssessmentCode0
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional TransformersCode0
CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against RumorsCode0
CMA-R:Causal Mediation Analysis for Explaining Rumour DetectionCode0
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive LearningCode0
Joint Rumour Stance and Veracity PredictionCode0
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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