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 7180 of 98 papers

TitleStatusHype
Automatic and Manual Web Annotations in an Infrastructure to handle Fake News and other Online Media Phenomena0
Deception Detection in News Reports in the Russian Language: Lexics and Discourse0
From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles0
ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models0
DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics0
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation0
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features0
Mama Edha at SemEval-2017 Task 8: Stance Classification with CNN and Rules0
NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.0
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTMCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ParsBERT+PCapsNet +SA+Title+ AuxiliaryF-Measure0.95Unverified
2BERT-SAWSF-Measure0.93Unverified
3Jahanbakhsh-Nagadeh et al.F-Measure0.83Unverified
4Common context features + Four SA classesF-Measure0.79Unverified
#ModelMetricClaimedVerifiedStatus
1CMA_R0..5sec1Unverified