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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 91–98 of 98 papers

TitleStatusHype
A Survey on Stance Detection for Mis- and Disinformation Identification—0
A Survey on Stance Detection for Mis- and Disinformation Identification—0
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models—0
Automatic and Manual Web Annotations in an Infrastructure to handle Fake News and other Online Media Phenomena—0
BERT based classification system for detecting rumours on Twitter—0
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification—0
BLCU\_NLP at SemEval-2019 Task 7: An Inference Chain-based GPT Model for Rumour Evaluation—0
Can Rumour Stance Alone Predict Veracity?—0
Show:102550
← PrevPage 10 of 10Next →
All datasetsSepehr_RumTel011

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