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 81–90 of 98 papers

TitleStatusHype
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTMCode0
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours—0
Detection and Resolution of Rumours in Social Media: A Survey—0
An Extensible Framework for Verification of Numerical Claims—0
Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic Similarity in Social Media using a Topic-based Latent Semantic Analysis—0
Spotting Rumors via Novelty Detection—0
Determining the Veracity of Rumours on Twitter—0
The Cloud of Knowing: Non-factive al-ta `know' (as a Neg-raiser) in Korean—0
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations—0
Using Gaussian Processes for Rumour Stance Classification 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