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

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Showing 31–40 of 98 papers

TitleStatusHype
BERT based classification system for detecting rumours on Twitter—0
Adversary-Aware Rumor DetectionCode1
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter—0
The Surprising Performance of Simple Baselines for Misinformation DetectionCode1
A Survey on Stance Detection for Mis- and Disinformation Identification—0
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen DomainsCode1
COVID-19 Misinformation on Twitter: Multilingual Analysis—0
Revisiting Rumour Stance Classification: Dealing with Imbalanced Data—0
A Deep Content-Based Model for Persian Rumor Verification—0
A semi-supervised model for Persian rumor verification based on content information—0
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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