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 11–20 of 98 papers

TitleStatusHype
A semi-supervised model for Persian rumor verification based on content information—0
A semi-supervised approach to message stance classification—0
A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors—0
Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification—0
All-in-one: Multi-task Learning for Rumour Verification—0
Rumour Detection via News Propagation Dynamics and User Representation Learning—0
An Extensible Framework for Verification of Numerical Claims—0
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning—0
“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media—0
A Deep Content-Based Model for Persian Rumor Verification—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