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 81–90 of 98 papers

TitleStatusHype
All-in-one: Multi-task Learning for Rumour Verification—0
A Model to Measure the Spread Power of Rumors—0
An Analytical Emotion Framework of Rumour Threads on Social Media—0
AndrejJan at SemEval-2019 Task 7: A Fusion Approach for Exploring the Key Factors pertaining to Rumour Analysis—0
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning—0
An Extensible Framework for Verification of Numerical Claims—0
A semi-supervised approach to message stance classification—0
A semi-supervised model for Persian rumor verification based on content information—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
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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