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 4150 of 98 papers

TitleStatusHype
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter0
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation0
Implementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT0
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis0
Mama Edha at SemEval-2017 Task 8: Stance Classification with CNN and Rules0
Measuring What Counts: The case of Rumour Stance Classification0
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs0
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes0
NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.0
PANACEA: An Automated Misinformation Detection System on COVID-190
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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