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 21–30 of 98 papers

TitleStatusHype
Joint Rumour Stance and Veracity PredictionCode0
Rumour Evaluation with Very Large Language ModelsCode0
Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification—0
A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors—0
A Model to Measure the Spread Power of Rumors—0
Classifying Tweet Level Judgements of Rumours in Social Media—0
Can Rumour Stance Alone Predict Veracity?—0
A semi-supervised model for Persian rumor verification based on content information—0
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter—0
A semi-supervised approach to message stance classification—0
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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