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 41–50 of 98 papers

TitleStatusHype
An Extensible Framework for Verification of Numerical Claims—0
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours—0
SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours—0
SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions—0
Spotting Rumors via Novelty Detection—0
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations—0
Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language—0
The Cloud of Knowing: Non-factive al-ta `know' (as a Neg-raiser) in Korean—0
The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible—0
Towards Detecting Rumours in Social Media—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