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 1–10 of 98 papers

TitleStatusHype
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text ClassificationCode1
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation NetworksCode1
Adversary-Aware Rumor DetectionCode1
The Surprising Performance of Simple Baselines for Misinformation DetectionCode1
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen DomainsCode1
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet DetectionCode1
Estimating predictive uncertainty for rumour verification modelsCode1
Claim Check-Worthiness Detection as Positive Unlabelled LearningCode1
Learning Reporting Dynamics during Breaking News for Rumour Detection in Social MediaCode1
SCRum-9: Multilingual Stance Classification over Rumours on Social Media—0
Show:102550
← PrevPage 1 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