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 51–60 of 98 papers

TitleStatusHype
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis—0
Veritas Annotator: Discovering the Origin of a Rumour—0
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 Rumours—0
Early Rumour Detection—0
SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions—0
AndrejJan at SemEval-2019 Task 7: A Fusion Approach for Exploring the Key Factors pertaining to Rumour Analysis—0
BLCU\_NLP at SemEval-2019 Task 7: An Inference Chain-based GPT Model for Rumour Evaluation—0
Show:102550
← PrevPage 6 of 10Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ParsBERT+PCapsNet +SA+Title+ AuxiliaryF-Measure0.95—Unverified
2BERT-SAWSF-Measure0.93—Unverified
3Jahanbakhsh-Nagadeh et al.F-Measure0.83—Unverified
4Common context features + Four SA classesF-Measure0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1CMA_R0..5sec1—Unverified