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 2130 of 98 papers

TitleStatusHype
Joint Rumour Stance and Veracity PredictionCode0
Rumour Evaluation with Very Large Language ModelsCode0
Verifying the Robustness of Automatic Credibility AssessmentCode0
Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification0
A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors0
A Model to Measure the Spread Power of Rumors0
Classifying Tweet Level Judgements of Rumours in Social Media0
Can Rumour Stance Alone Predict Veracity?0
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter0
A semi-supervised model for Persian rumor verification based on content information0
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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