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 41–50 of 98 papers

TitleStatusHype
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter—0
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation—0
Implementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT—0
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis—0
Mama Edha at SemEval-2017 Task 8: Stance Classification with CNN and Rules—0
Measuring What Counts: The case of Rumour Stance Classification—0
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs—0
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes—0
NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.—0
PANACEA: An Automated Misinformation Detection System on COVID-19—0
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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